Oleta  Becker

Oleta Becker

1602709200

An Introduction to Multi-Threading

A post or so ago, we had a discussion on the differences between multi-threading and multi-processing, this being a result of IronPython’s feature to allow multi-threaded code to use multi-core processors. So in this article, I thought we’d open up the boxes for a while just to see what these two mean. Sit back, take a coffee, and lets fire up those neurons.

Background Check

Now, for an understanding of the concepts, we should differentiate between a process and a thread.

Process

Say I write a program:

sample_prog.py. Once I ran this and let it do what it does best, I have created an instance of the program. In definition, this is a process.

To break this even further, if my program

sample_prog.pywas, say, taking multiple files, editing the title of these files, and moving them in a different directory once processed, I would have broken the process down to threads. In this case, I have two threads:

  • Read the file and change the title within it.
  • Copy this file into a different directory of processed files.

Don’t get it wrong, this is the same program instance(also called process) doing different things.

If we were to come back to something closer to home, you have opened a tab on Hacker Noon right now, while at the same time, I assume, have another tab open locked into your favourite ecommerce site.

In this case, you have one program running, your Firefox browser as a program (Of course, it’s not Internet explorer open, is it?); this is the instance, that is, a process.

With this process, you have two tabs, in essence, two threads of the same process.

#python #multithreading #memory-management #memory-allocation #threads #task-management #programming #coding

What is GEEK

Buddha Community

An Introduction to Multi-Threading

Pyringe: Debugger Capable Of Attaching to & Injecting Code Into Python

DISCLAIMER: This is not an official google project, this is just something I wrote while at Google.

Pyringe

What this is

Pyringe is a python debugger capable of attaching to running processes, inspecting their state and even of injecting python code into them while they're running. With pyringe, you can list threads, get tracebacks, inspect locals/globals/builtins of running functions, all without having to prepare your program for it.

What this is not

A "Google project". It's my internship project that got open-sourced. Sorry for the confusion.

What do I need?

Pyringe internally uses gdb to do a lot of its heavy lifting, so you will need a fairly recent build of gdb (version 7.4 onwards, and only if gdb was configured with --with-python). You will also need the symbols for whatever build of python you're running.
On Fedora, the package you're looking for is python-debuginfo, on Debian it's called python2.7-dbg (adjust according to version). Arch Linux users: see issue #5, Ubuntu users can only debug the python-dbg binary (see issue #19).
Having Colorama will get you output in boldface, but it's optional.

How do I get it?

Get it from the Github repo, PyPI, or via pip (pip install pyringe).

Is this Python3-friendly?

Short answer: No, sorry. Long answer:
There's three potentially different versions of python in play here:

  1. The version running pyringe
  2. The version being debugged
  3. The version of libpythonXX.so your build of gdb was linked against

2 Is currently the dealbreaker here. Cpython has changed a bit in the meantime[1], and making all features work while debugging python3 will have to take a back seat for now until the more glaring issues have been taken care of.
As for 1 and 3, the 2to3 tool may be able to handle it automatically. But then, as long as 2 hasn't been taken care of, this isn't really a use case in the first place.

[1] - For example, pendingbusy (which is used for injection) has been renamed to busy and been given a function-local scope, making it harder to interact with via gdb.

Will this work with PyPy?

Unfortunately, no. Since this makes use of some CPython internals and implementation details, only CPython is supported. If you don't know what PyPy or CPython are, you'll probably be fine.

Why not PDB?

PDB is great. Use it where applicable! But sometimes it isn't.
Like when python itself crashes, gets stuck in some C extension, or you want to inspect data without stopping a program. In such cases, PDB (and all other debuggers that run within the interpreter itself) are next to useless, and without pyringe you'd be left with having to debug using print statements. Pyringe is just quite convenient in these cases.

I injected a change to a local var into a function and it's not showing up!

This is a known limitation. Things like inject('var = 2') won't work, but inject('var[1] = 1337') should. This is because most of the time, python internally uses a fast path for looking up local variables that doesn't actually perform the dictionary lookup in locals(). In general, code you inject into processes with pyringe is very different from a normal python function call.

How do I use it?

You can start the debugger by executing python -m pyringe. Alternatively:

import pyringe
pyringe.interact()

If that reminds you of the code module, good; this is intentional.
After starting the debugger, you'll be greeted by what behaves almost like a regular python REPL.
Try the following:

==> pid:[None] #threads:[0] current thread:[None]
>>> help()
Available commands:
 attach: Attach to the process with the given pid.
 bt: Get a backtrace of the current position.
 [...]
==> pid:[None] #threads:[0] current thread:[None]
>>> attach(12679)
==> pid:[12679] #threads:[11] current thread:[140108099462912]
>>> threads()
[140108099462912, 140108107855616, 140108116248323, 140108124641024, 140108133033728, 140108224739072, 140108233131776, 140108141426432, 140108241524480, 140108249917184, 140108269324032]

The IDs you see here correspond to what threading.current_thread().ident would tell you.
All debugger functions are just regular python functions that have been exposed to the REPL, so you can do things like the following.

==> pid:[12679] #threads:[11] current thread:[140108099462912]
>>> for tid in threads():
...   if not tid % 10:
...     thread(tid)
...     bt()
... 
Traceback (most recent call last):
  File "/usr/lib/python2.7/threading.py", line 524, in __bootstrap
    self.__bootstrap_inner()
  File "/usr/lib/python2.7/threading.py", line 551, in __bootstrap_inner
    self.run()
  File "/usr/lib/python2.7/threading.py", line 504, in run
    self.__target(*self.__args, **self.__kwargs)
  File "./test.py", line 46, in Idle
    Thread_2_Func(1)
  File "./test.py", line 40, in Wait
    time.sleep(n)
==> pid:[12679] #threads:[11] current thread:[140108241524480]
>>> 

You can access the inferior's locals and inspect them like so:

==> pid:[12679] #threads:[11] current thread:[140108241524480]
>>> inflocals()
{'a': <proxy of A object at remote 0x1d9b290>, 'LOL': 'success!', 'b': <proxy of B object at remote 0x1d988c0>, 'n': 1}
==> pid:[12679] #threads:[11] current thread:[140108241524480]
>>> p('a')
<proxy of A object at remote 0x1d9b290>
==> pid:[12679] #threads:[11] current thread:[140108241524480]
>>> p('a').attr
'Some_magic_string'
==> pid:[12679] #threads:[11] current thread:[140108241524480]
>>> 

And sure enough, the definition of a's class reads:

class Example(object):
  cl_attr = False
  def __init__(self):
    self.attr = 'Some_magic_string'

There's limits to how far this proxying of objects goes, and everything that isn't trivial data will show up as strings (like '<function at remote 0x1d957d0>').
You can inject python code into running programs. Of course, there are caveats but... see for yourself:

==> pid:[12679] #threads:[11] current thread:[140108241524480]
>>> inject('import threading')
==> pid:[12679] #threads:[11] current thread:[140108241524480]
>>> inject('print threading.current_thread().ident')
==> pid:[12679] #threads:[11] current thread:[140108241524480]
>>> 

The output of my program in this case reads:

140108241524480

If you need additional pointers, just try using python's help (pyhelp() in the debugger) on debugger commands.

Author: google
Source Code: https://github.com/google/pyringe
License: Apache-2.0 License

#python 

Libraries for Debugging Code in Popular Python

In this Python article, let's learn about Debugging Tools: Libraries for Debugging Code in Popular Python

Table of contents:

  • pdb-like Debugger
    • ipdb - IPython-enabled pdb.
    • pdb++ - Another drop-in replacement for pdb.
    • pudb - A full-screen, console-based Python debugger.
    • wdb - An improbable web debugger through WebSockets.
  • Tracing
    • lptrace - strace for Python programs.
    • manhole - Debugging UNIX socket connections and present the stacktraces for all threads and an interactive prompt.
    • pyringe - Debugger capable of attaching to and injecting code into Python processes.
    • python-hunter - A flexible code tracing toolkit.
  • Profiler
    • line_profiler - Line-by-line profiling.
    • memory_profiler - Monitor Memory usage of Python code.
    • py-spy - A sampling profiler for Python programs. Written in Rust.
    • pyflame - A ptracing profiler For Python.
    • vprof - Visual Python profiler.
  • Others
    • django-debug-toolbar - Display various debug information for Django.
    • django-devserver - A drop-in replacement for Django's runserver.
    • flask-debugtoolbar - A port of the django-debug-toolbar to flask.
    • icecream - Inspect variables, expressions, and program execution with a single, simple function call.
    • pyelftools - Parsing and analyzing ELF files and DWARF debugging information.

 

What is a debugging tool?

A debugger is a software tool that can help the software development process by identifying coding errors at various stages of the operating system or application development. Some debuggers will analyze a test run to see what lines of code were not executed.

Debugger for Python programs with a graphical user interface. It uses bdb (part of stdlib) but adds a GUI and has some powerful features like object browser, windows for variables, classes, functions, exceptions, stack, conditional breakpoints, etc.


Libraries for Debugging Code in Popular Python

  1. IPython pdb

ipdb exports functions to access the IPython debugger, which features tab completion, syntax highlighting, better tracebacks, better introspection with the same interface as the pdb module.

Example usage:

import ipdb
ipdb.set_trace()
ipdb.set_trace(context=5)  # will show five lines of code
                           # instead of the default three lines
                           # or you can set it via IPDB_CONTEXT_SIZE env variable
                           # or setup.cfg file
ipdb.pm()
ipdb.run('x[0] = 3')
result = ipdb.runcall(function, arg0, arg1, kwarg='foo')
result = ipdb.runeval('f(1,2) - 3')

Arguments for set_trace

The set_trace function accepts context which will show as many lines of code as defined, and cond, which accepts boolean values (such as abc == 17) and will start ipdb's interface whenever cond equals to True.

Using configuration file

It's possible to set up context using a .ipdb file on your home folder, setup.cfg or pyproject.toml on your project folder. You can also set your file location via env var $IPDB_CONFIG. Your environment variable has priority over the home configuration file, which in turn has priority over the setup config file. Currently, only context setting is available.

A valid setup.cfg is as follows

[ipdb]
context=5

A valid .ipdb is as follows

context=5

A valid pyproject.toml is as follows

[tool.ipdb]
context=5

The post-mortem function, ipdb.pm(), is equivalent to the magic function %debug.

View on GitHub


2.  pdb++

pdb++, a drop-in replacement for pdb (the Python debugger)

What is it?

This module is an extension of the pdb module of the standard library. It is meant to be fully compatible with its predecessor, yet it introduces a number of new features to make your debugging experience as nice as possible.

https://user-images.githubusercontent.com/412005/64484794-2f373380-d20f-11e9-9f04-e1dabf113c6f.png

pdb++ features include:

  • colorful TAB completion of Python expressions (through fancycompleter)
  • optional syntax highlighting of code listings (through Pygments)
  • sticky mode
  • several new commands to be used from the interactive (Pdb++) prompt
  • smart command parsing (hint: have you ever typed r or c at the prompt to print the value of some variable?)
  • additional convenience functions in the pdb module, to be used from your program

pdb++ is meant to be a drop-in replacement for pdb. If you find some unexpected behavior, please report it as a bug.

Installation

Since pdb++ is not a valid package name the package is named pdbpp:

$ pip install pdbpp

pdb++ is also available via conda:

$ conda install -c conda-forge pdbpp

Alternatively, you can just put pdb.py somewhere inside your PYTHONPATH.

View on GitHub


3.  PuDB

Its goal is to provide all the niceties of modern GUI-based debuggers in a more lightweight and keyboard-friendly package. PuDB allows you to debug code right where you write and test it--in a terminal.

Here are some screenshots:

Light theme

  • doc/images/pudb-screenshot-light.png

Dark theme

  • doc/images/pudb-screenshot-dark.png

View on GitHub


4.  wdb

An improbable web debugger through WebSockets

wdb is a full featured web debugger based on a client-server architecture.

The wdb server which is responsible of managing debugging instances along with browser connections (through websockets) is based on Tornado. The wdb clients allow step by step debugging, in-program python code execution, code edition (based on CodeMirror) setting breakpoints...

Due to this architecture, all of this is fully compatible with multithread and multiprocess programs.

wdb works with python 2 (2.6, 2.7), python 3 (3.2, 3.3, 3.4, 3.5) and pypy. Even better, it is possible to debug a python 2 program with a wdb server running on python 3 and vice-versa or debug a program running on a computer with a debugging server running on another computer inside a web page on a third computer!

Even betterer, it is now possible to pause a currently running python process/thread using code injection from the web interface. (This requires gdb and ptrace enabled)

In other words it's a very enhanced version of pdb directly in your browser with nice features.

Installation:

Global installation:

    $ pip install wdb.server

In virtualenv or with a different python installation:

    $ pip install wdb

(You must have the server installed and running)

View on GitHub


5.  lptrace

lptrace is strace for Python programs. It lets you see in real-time what functions a Python program is running. It's particularly useful to debug weird issues on production.

For example, let's debug a non-trivial program, the Python SimpleHTTPServer. First, let's run the server:

vagrant@precise32:/vagrant$ python -m SimpleHTTPServer 8080 &
[1] 1818
vagrant@precise32:/vagrant$ Serving HTTP on 0.0.0.0 port 8080 ...

Now let's connect lptrace to it:

vagrant@precise32:/vagrant$ sudo python lptrace -p 1818
...
fileno (/usr/lib/python2.7/SocketServer.py:438)
meth (/usr/lib/python2.7/socket.py:223)

fileno (/usr/lib/python2.7/SocketServer.py:438)
meth (/usr/lib/python2.7/socket.py:223)

_handle_request_noblock (/usr/lib/python2.7/SocketServer.py:271)
get_request (/usr/lib/python2.7/SocketServer.py:446)
accept (/usr/lib/python2.7/socket.py:201)
__init__ (/usr/lib/python2.7/socket.py:185)
verify_request (/usr/lib/python2.7/SocketServer.py:296)
process_request (/usr/lib/python2.7/SocketServer.py:304)
finish_request (/usr/lib/python2.7/SocketServer.py:321)
__init__ (/usr/lib/python2.7/SocketServer.py:632)
setup (/usr/lib/python2.7/SocketServer.py:681)
makefile (/usr/lib/python2.7/socket.py:212)
__init__ (/usr/lib/python2.7/socket.py:246)
makefile (/usr/lib/python2.7/socket.py:212)
__init__ (/usr/lib/python2.7/socket.py:246)
handle (/usr/lib/python2.7/BaseHTTPServer.py:336)
handle_one_request (/usr/lib/python2.7/BaseHTTPServer.py:301)
^CReceived Ctrl-C, quitting
vagrant@precise32:/vagrant$

You can see that the server is handling the request in real time! After pressing Ctrl-C, the trace is removed and the program execution resumes normally.

View on GitHub


6.  python-manhole

Debugging manhole for python applications.

Manhole is in-process service that will accept unix domain socket connections and present the stacktraces for all threads and an interactive prompt. It can either work as a python daemon thread waiting for connections at all times or a signal handler (stopping your application and waiting for a connection).

Access to the socket is restricted to the application's effective user id or root.

This is just like Twisted's manhole. It's simpler (no dependencies), it only runs on Unix domain sockets (in contrast to Twisted's manhole which can run on telnet or ssh) and it integrates well with various types of applications.

Usage

Install it:

pip install manhole

You can put this in your django settings, wsgi app file, some module that's always imported early etc:

import manhole
manhole.install() # this will start the daemon thread

# and now you start your app, eg: server.serve_forever()

Now in a shell you can do either of these:

netcat -U /tmp/manhole-1234
socat - unix-connect:/tmp/manhole-1234
socat readline unix-connect:/tmp/manhole-1234

Socat with readline is best (history, editing etc). If your socat doesn't have readline try this.

Sample output:

$ nc -U /tmp/manhole-1234

Python 2.7.3 (default, Apr 10 2013, 06:20:15)
[GCC 4.6.3] on linux2
Type "help", "copyright", "credits" or "license" for more information.
(InteractiveConsole)
>>> dir()
['__builtins__', 'dump_stacktraces', 'os', 'socket', 'sys', 'traceback']
>>> print 'foobar'
foobar

View on GitHub


7.  Pyringe

Pyringe is a python debugger capable of attaching to running processes, inspecting their state and even of injecting python code into them while they're running. With pyringe, you can list threads, get tracebacks, inspect locals/globals/builtins of running functions, all without having to prepare your program for it.

How do I use it?

You can start the debugger by executing python -m pyringe. Alternatively:

import pyringe
pyringe.interact()

If that reminds you of the code module, good; this is intentional.
After starting the debugger, you'll be greeted by what behaves almost like a regular python REPL.
Try the following:

==> pid:[None] #threads:[0] current thread:[None]
>>> help()
Available commands:
 attach: Attach to the process with the given pid.
 bt: Get a backtrace of the current position.
 [...]
==> pid:[None] #threads:[0] current thread:[None]
>>> attach(12679)
==> pid:[12679] #threads:[11] current thread:[140108099462912]
>>> threads()
[140108099462912, 140108107855616, 140108116248323, 140108124641024, 140108133033728, 140108224739072, 140108233131776, 140108141426432, 140108241524480, 140108249917184, 140108269324032]

The IDs you see here correspond to what threading.current_thread().ident would tell you.
All debugger functions are just regular python functions that have been exposed to the REPL, so you can do things like the following.

==> pid:[12679] #threads:[11] current thread:[140108099462912]
>>> for tid in threads():
...   if not tid % 10:
...     thread(tid)
...     bt()
... 
Traceback (most recent call last):
  File "/usr/lib/python2.7/threading.py", line 524, in __bootstrap
    self.__bootstrap_inner()
  File "/usr/lib/python2.7/threading.py", line 551, in __bootstrap_inner
    self.run()
  File "/usr/lib/python2.7/threading.py", line 504, in run
    self.__target(*self.__args, **self.__kwargs)
  File "./test.py", line 46, in Idle
    Thread_2_Func(1)
  File "./test.py", line 40, in Wait
    time.sleep(n)
==> pid:[12679] #threads:[11] current thread:[140108241524480]
>>> 

You can access the inferior's locals and inspect them like so:

==> pid:[12679] #threads:[11] current thread:[140108241524480]
>>> inflocals()
{'a': <proxy of A object at remote 0x1d9b290>, 'LOL': 'success!', 'b': <proxy of B object at remote 0x1d988c0>, 'n': 1}
==> pid:[12679] #threads:[11] current thread:[140108241524480]
>>> p('a')
<proxy of A object at remote 0x1d9b290>
==> pid:[12679] #threads:[11] current thread:[140108241524480]
>>> p('a').attr
'Some_magic_string'
==> pid:[12679] #threads:[11] current thread:[140108241524480]
>>> 

And sure enough, the definition of a's class reads:

class Example(object):
  cl_attr = False
  def __init__(self):
    self.attr = 'Some_magic_string'

There's limits to how far this proxying of objects goes, and everything that isn't trivial data will show up as strings (like '<function at remote 0x1d957d0>').

View on GitHub


8.  python-hunter

Hunter is a flexible code tracing toolkit, not for measuring coverage, but for debugging, logging, inspection and other nefarious purposes. It has a simple Python API, a convenient terminal API and a CLI tool to attach to processes.

Installation

pip install hunter

Documentation

https://python-hunter.readthedocs.io/

Getting started

Basic use involves passing various filters to the trace option. An example:

import hunter
hunter.trace(module='posixpath', action=hunter.CallPrinter)

import os
os.path.join('a', 'b')

That would result in:

>>> os.path.join('a', 'b')
         /usr/lib/python3.6/posixpath.py:75    call      => join(a='a')
         /usr/lib/python3.6/posixpath.py:80    line         a = os.fspath(a)
         /usr/lib/python3.6/posixpath.py:81    line         sep = _get_sep(a)
         /usr/lib/python3.6/posixpath.py:41    call         => _get_sep(path='a')
         /usr/lib/python3.6/posixpath.py:42    line            if isinstance(path, bytes):
         /usr/lib/python3.6/posixpath.py:45    line            return '/'
         /usr/lib/python3.6/posixpath.py:45    return       <= _get_sep: '/'
         /usr/lib/python3.6/posixpath.py:82    line         path = a
         /usr/lib/python3.6/posixpath.py:83    line         try:
         /usr/lib/python3.6/posixpath.py:84    line         if not p:
         /usr/lib/python3.6/posixpath.py:86    line         for b in map(os.fspath, p):
         /usr/lib/python3.6/posixpath.py:87    line         if b.startswith(sep):
         /usr/lib/python3.6/posixpath.py:89    line         elif not path or path.endswith(sep):
         /usr/lib/python3.6/posixpath.py:92    line         path += sep + b
         /usr/lib/python3.6/posixpath.py:86    line         for b in map(os.fspath, p):
         /usr/lib/python3.6/posixpath.py:96    line         return path
         /usr/lib/python3.6/posixpath.py:96    return    <= join: 'a/b'
'a/b'

In a terminal it would look like:

https://raw.githubusercontent.com/ionelmc/python-hunter/master/docs/code-trace.png

Another useful scenario is to ignore all standard modules and force colors to make them stay even if the output is redirected to a file.

import hunter
hunter.trace(stdlib=False, action=hunter.CallPrinter(force_colors=True))

View on GitHub


9.  line_profiler

line_profiler is a module for doing line-by-line profiling of functions. kernprof is a convenient script for running either line_profiler or the Python standard library's cProfile or profile modules, depending on what is available.

Installation

Note: As of version 2.1.2, pip install line_profiler does not work. Please install as follows until it is fixed in the next release:

git clone https://github.com/rkern/line_profiler.git
find line_profiler -name '*.pyx' -exec cython {} \;
cd line_profiler
pip install . --user

Releases of line_profiler can be installed using pip:

$ pip install line_profiler

Source releases and any binaries can be downloaded from the PyPI link.

http://pypi.python.org/pypi/line_profiler

To check out the development sources, you can use Git:

$ git clone https://github.com/rkern/line_profiler.git

You may also download source tarballs of any snapshot from that URL.

Source releases will require a C compiler in order to build line_profiler. In addition, git checkouts will also require Cython >= 0.10. Source releases on PyPI should contain the pregenerated C sources, so Cython should not be required in that case.

kernprof is a single-file pure Python script and does not require a compiler. If you wish to use it to run cProfile and not line-by-line profiling, you may copy it to a directory on your PATH manually and avoid trying to build any C extensions.

View on GitHub


10.  Memory Profiler

This is a python module for monitoring memory consumption of a process as well as line-by-line analysis of memory consumption for python programs. It is a pure python module which depends on the psutil module.

Installation

To install through easy_install or pip:

$ easy_install -U memory_profiler # pip install -U memory_profiler

To install from source, download the package, extract and type:

$ python setup.py install

Usage

line-by-line memory usage

The line-by-line memory usage mode is used much in the same way of the line_profiler: first decorate the function you would like to profile with @profile and then run the script with a special script (in this case with specific arguments to the Python interpreter).

In the following example, we create a simple function my_func that allocates lists a, b and then deletes b:

@profile
def my_func():
    a = [1] * (10 ** 6)
    b = [2] * (2 * 10 ** 7)
    del b
    return a

if __name__ == '__main__':
    my_func()

Execute the code passing the option -m memory_profiler to the python interpreter to load the memory_profiler module and print to stdout the line-by-line analysis. If the file name was example.py, this would result in:

$ python -m memory_profiler example.py

Output will follow:

Line #    Mem usage  Increment   Line Contents
==============================================
     3                           @profile
     4      5.97 MB    0.00 MB   def my_func():
     5     13.61 MB    7.64 MB       a = [1] * (10 ** 6)
     6    166.20 MB  152.59 MB       b = [2] * (2 * 10 ** 7)
     7     13.61 MB -152.59 MB       del b
     8     13.61 MB    0.00 MB       return a

The first column represents the line number of the code that has been profiled, the second column (Mem usage) the memory usage of the Python interpreter after that line has been executed. The third column (Increment) represents the difference in memory of the current line with respect to the last one. The last column (Line Contents) prints the code that has been profiled.

View on GitHub


11.  py-spy

py-spy is a sampling profiler for Python programs. It lets you visualize what your Python program is spending time on without restarting the program or modifying the code in any way. py-spy is extremely low overhead: it is written in Rust for speed and doesn't run in the same process as the profiled Python program. This means py-spy is safe to use against production Python code.

py-spy works on Linux, OSX, Windows and FreeBSD, and supports profiling all recent versions of the CPython interpreter (versions 2.3-2.7 and 3.3-3.10).

Installation

Prebuilt binary wheels can be installed from PyPI with:

pip install py-spy

You can also download prebuilt binaries from the GitHub Releases Page.

If you're a Rust user, py-spy can also be installed with: cargo install py-spy.

On macOS, py-spy is in Homebrew and can be installed with brew install py-spy.

On Arch Linux, py-spy is in AUR and can be installed with yay -S py-spy.

On Alpine Linux, py-spy is in testing repository and can be installed with apk add py-spy --update-cache --repository http://dl-3.alpinelinux.org/alpine/edge/testing/ --allow-untrusted.

Usage

py-spy works from the command line and takes either the PID of the program you want to sample from or the command line of the python program you want to run. py-spy has three subcommands record, top and dump:

record

py-spy supports recording profiles to a file using the record command. For example, you can generate a flame graph of your python process by going:

py-spy record -o profile.svg --pid 12345
# OR
py-spy record -o profile.svg -- python myprogram.py

View on GitHub


12.  Pyflame

Pyflame is a high performance profiling tool that generates flame graphs for Python. Pyflame is implemented in C++, and uses the Linux ptrace(2) system call to collect profiling information. It can take snapshots of the Python call stack without explicit instrumentation, meaning you can profile a program without modifying its source code. Pyflame is capable of profiling embedded Python interpreters like uWSGI. It fully supports profiling multi-threaded Python programs.

Pyflame usually introduces significantly less overhead than the builtin profile (or cProfile) modules, and emits richer profiling data. The profiling overhead is low enough that you can use it to profile live processes in production.

Quickstart

Building And Installing

For Debian/Ubuntu, install the following:

# Install build dependencies on Debian or Ubuntu.
sudo apt-get install autoconf automake autotools-dev g++ pkg-config python-dev python3-dev libtool make

Once you have the build dependencies installed:

./autogen.sh
./configure
make

The make command will produce an executable at src/pyflame that you can run and use.

Optionally, if you have virtualenv installed, you can test the executable you produced using make check.

Using Pyflame

The full documentation for using Pyflame is here. But here's a quick guide:

# Attach to PID 12345 and profile it for 1 second
pyflame -p 12345

# Attach to PID 768 and profile it for 5 seconds, sampling every 0.01 seconds
pyflame -s 5 -r 0.01 -p 768

# Run py.test against tests/, emitting sample data to prof.txt
pyflame -o prof.txt -t py.test tests/

In all of these cases you will get flame graph data on stdout (or to a file if you used -o). This data is in the format expected by flamegraph.pl, which you can find here.

View on GitHub


13.  vprof

vprof is a Python package providing rich and interactive visualizations for various Python program characteristics such as running time and memory usage. It supports Python 3.4+ and distributed under BSD license.

The project is in active development and some of its features might not work as expected.

Installation

vprof can be installed from PyPI

pip install vprof

To build vprof from sources, clone this repository and execute

python3 setup.py deps_install && python3 setup.py build_ui && python3 setup.py install

To install just vprof dependencies, run

python3 setup.py deps_install

Usage

vprof -c <config> <src>

<config> is a combination of supported modes:

  • c - CPU flame graph ⚠️ Not available for windows #62

Shows CPU flame graph for <src>.

  • p - profiler

Runs built-in Python profiler on <src> and displays results.

  • m - memory graph

Shows objects that are tracked by CPython GC and left in memory after code execution. Also shows process memory usage after execution of each line of <src>.

  • h - code heatmap

Displays all executed code of <src> with line run times and execution counts.

View on GitHub


14.  Django Debug Toolbar

The Django Debug Toolbar is a configurable set of panels that display various debug information about the current request/response and when clicked, display more details about the panel's content.


Here's a screenshot of the toolbar in action:

Django Debug Toolbar screenshot

In addition to the built-in panels, a number of third-party panels are contributed by the community.

The current stable version of the Debug Toolbar is 3.6.0. It works on Django ≥ 3.2.4.

View on GitHub


15.  django-devserver

A drop in replacement for Django's built-in runserver command. Features include:

  • An extendable interface for handling things such as real-time logging.
  • Integration with the werkzeug interactive debugger.
  • Threaded (default) and multi-process development servers.
  • Ability to specify a WSGI application as your target environment.

Note

django-devserver works on Django 1.3 and newer

Installation

To install the latest stable version:

pip install git+git://github.com/dcramer/django-devserver#egg=django-devserver

django-devserver has some optional dependancies, which we highly recommend installing.

  • pip install sqlparse -- pretty SQL formatting
  • pip install werkzeug -- interactive debugger
  • pip install guppy -- tracks memory usage (required for MemoryUseModule)
  • pip install line_profiler -- does line-by-line profiling (required for LineProfilerModule)

You will need to include devserver in your INSTALLED_APPS:

INSTALLED_APPS = (
    ...
    'devserver',
)

If you're using django.contrib.staticfiles or any other apps with management command runserver, make sure to put devserver above any of them (or below, for Django<1.7). Otherwise devserver will log an error, but it will fail to work properly.

View on GitHub


16.  Flask Debug-toolbar

This is a port of the excellent django-debug-toolbar for Flask applications.

Installation

Installing is simple with pip:

$ pip install flask-debugtoolbar

Usage

Setting up the debug toolbar is simple:

from flask import Flask
from flask_debugtoolbar import DebugToolbarExtension

app = Flask(__name__)

# the toolbar is only enabled in debug mode:
app.debug = True

# set a 'SECRET_KEY' to enable the Flask session cookies
app.config['SECRET_KEY'] = '<replace with a secret key>'

toolbar = DebugToolbarExtension(app)

The toolbar will automatically be injected into Jinja templates when debug mode is on. In production, setting app.debug = False will disable the toolbar.

View on GitHub


17.  IceCream

Do you ever use print() or log() to debug your code? Of course you do. IceCream, or ic for short, makes print debugging a little sweeter.

ic() is like print(), but better:

  1. It prints both expressions/variable names and their values.
  2. It's 40% faster to type.
  3. Data structures are pretty printed.
  4. Output is syntax highlighted.
  5. It optionally includes program context: filename, line number, and parent function.

IceCream is well tested, permissively licensed, and supports Python 2, Python 3, PyPy2, and PyPy3. (Python 3.11 support is forthcoming.)

Inspect Variables

Have you ever printed variables or expressions to debug your program? If you've ever typed something like

print(foo('123'))

or the more thorough

print("foo('123')", foo('123'))

then ic() will put a smile on your face. With arguments, ic() inspects itself and prints both its own arguments and the values of those arguments.

from icecream import ic

def foo(i):
    return i + 333

ic(foo(123))

Prints

ic| foo(123): 456

Similarly,

d = {'key': {1: 'one'}}
ic(d['key'][1])

class klass():
    attr = 'yep'
ic(klass.attr)

Prints

ic| d['key'][1]: 'one'
ic| klass.attr: 'yep'

Just give ic() a variable or expression and you're done. Easy.

View on GitHub


18.  pyelftools

pyelftools is a pure-Python library for parsing and analyzing ELF files and DWARF debugging information. See the User's guide for more details.

Pre-requisites

As a user of pyelftools, one only needs Python 3 to run. For hacking on pyelftools the requirements are a bit more strict, please see the hacking guide.

Installing

pyelftools can be installed from PyPI (Python package index):

> pip install pyelftools

Alternatively, you can download the source distribution for the most recent and historic versions from the Downloads tab on the pyelftools project page (by going to Tags). Then, you can install from source, as usual:

> python setup.py install

Since pyelftools is a work in progress, it's recommended to have the most recent version of the code. This can be done by downloading the master zip file or just cloning the Git repository.

Since pyelftools has no external dependencies, it's also easy to use it without installing, by locally adjusting PYTHONPATH.

View on GitHub


FAQ about Debugging Tools python

  • How many types of debugging are in Python?

Debugging in any programming language typically involves two types of errors: syntax or logical. Syntax errors are those where the programming language commands are not interpreted by the compiler or interpreter because of a problem with how the program is written.

  • Best Debugging Tools include:

Chrome DevTools, Progress Telerik Fiddler, GDB (GNU Debugger), Data Display Debugger, SonarLint, Froglogic Squish, and TotalView HPC Debugging Software.

  • Why is it called debugging?

The terms "bug" and "debugging" are popularly attributed to Admiral Grace Hopper in the 1940s. While she was working on a Mark II computer at Harvard University, her associates discovered a moth stuck in a relay and thereby impeding operation, whereupon she remarked that they were "debugging" the system.

  • Why do we need debugging?

Debugging is important because it allows software engineers and developers to fix errors in a program before releasing it to the public. It's a complementary process to testing, which involves learning how an error affects a program overall.


Related videos:

Python Tutorial - Introduction to DEBUGGING


Related posts:

#python 

Adaline  Kulas

Adaline Kulas

1594162500

Multi-cloud Spending: 8 Tips To Lower Cost

A multi-cloud approach is nothing but leveraging two or more cloud platforms for meeting the various business requirements of an enterprise. The multi-cloud IT environment incorporates different clouds from multiple vendors and negates the dependence on a single public cloud service provider. Thus enterprises can choose specific services from multiple public clouds and reap the benefits of each.

Given its affordability and agility, most enterprises opt for a multi-cloud approach in cloud computing now. A 2018 survey on the public cloud services market points out that 81% of the respondents use services from two or more providers. Subsequently, the cloud computing services market has reported incredible growth in recent times. The worldwide public cloud services market is all set to reach $500 billion in the next four years, according to IDC.

By choosing multi-cloud solutions strategically, enterprises can optimize the benefits of cloud computing and aim for some key competitive advantages. They can avoid the lengthy and cumbersome processes involved in buying, installing and testing high-priced systems. The IaaS and PaaS solutions have become a windfall for the enterprise’s budget as it does not incur huge up-front capital expenditure.

However, cost optimization is still a challenge while facilitating a multi-cloud environment and a large number of enterprises end up overpaying with or without realizing it. The below-mentioned tips would help you ensure the money is spent wisely on cloud computing services.

  • Deactivate underused or unattached resources

Most organizations tend to get wrong with simple things which turn out to be the root cause for needless spending and resource wastage. The first step to cost optimization in your cloud strategy is to identify underutilized resources that you have been paying for.

Enterprises often continue to pay for resources that have been purchased earlier but are no longer useful. Identifying such unused and unattached resources and deactivating it on a regular basis brings you one step closer to cost optimization. If needed, you can deploy automated cloud management tools that are largely helpful in providing the analytics needed to optimize the cloud spending and cut costs on an ongoing basis.

  • Figure out idle instances

Another key cost optimization strategy is to identify the idle computing instances and consolidate them into fewer instances. An idle computing instance may require a CPU utilization level of 1-5%, but you may be billed by the service provider for 100% for the same instance.

Every enterprise will have such non-production instances that constitute unnecessary storage space and lead to overpaying. Re-evaluating your resource allocations regularly and removing unnecessary storage may help you save money significantly. Resource allocation is not only a matter of CPU and memory but also it is linked to the storage, network, and various other factors.

  • Deploy monitoring mechanisms

The key to efficient cost reduction in cloud computing technology lies in proactive monitoring. A comprehensive view of the cloud usage helps enterprises to monitor and minimize unnecessary spending. You can make use of various mechanisms for monitoring computing demand.

For instance, you can use a heatmap to understand the highs and lows in computing visually. This heat map indicates the start and stop times which in turn lead to reduced costs. You can also deploy automated tools that help organizations to schedule instances to start and stop. By following a heatmap, you can understand whether it is safe to shut down servers on holidays or weekends.

#cloud computing services #all #hybrid cloud #cloud #multi-cloud strategy #cloud spend #multi-cloud spending #multi cloud adoption #why multi cloud #multi cloud trends #multi cloud companies #multi cloud research #multi cloud market

Ramya M

Ramya M

1608022599

Top 10 Multi vendor Marketplace Platform Providers 2022

Great evolution has happened in the buying and selling process due to the advent of ecommerce. There is exponential growth in the field of online business and selling and buying happens at the doorstep. The multi seller ecommerce platform has become the next level in the ecommerce niche.

The ecommerce marketplace platforms like Amazon, Flipkart, and eBay have already succeeded in the industry and have set a milestone on sales and revenue.

This fact has inspired many aspiring entrepreneurs and has made them transfer their brick and mortar stores to multi vendor platform.

What is Online Multi vendor Marketplace?

Multi vendor marketplace platform is connect a multiple sellere or vendors to display and sell their products through the platform by agreeing with the terms mentioned by the admin of the platform. They can have their way of promoting their products.

Here is a list of Top 10 Best Turnkey Multi vendor Marketplace Platforms:

Now that you have a better understanding of the key features for Multi vendor marketplace, let’s compare ten of the top Multi vendor providers.

1. Zielcommerce – All in One Multi vendor eCommerce Marketplace Platform

Visit Website

This is image title
Zielcommerce is a white label enabled enterprise grade online marketplace software. The multi vendor platform comes with a one time payment option and it is completely customizable and also scalable. 

Platform Highlights

  • The feature-rich UI and UX have never missed attracting the users towards the multi vendor ecommerce.
  • The platform is user-friendly and it is a perfect device compatible.
  • It’s a convenient marketplace solution that provides all round service required for a perfect multi vendor marketplace platform.
  • This also supports easy brand recognition and you can get more visitors to your ecommerce platform.

Zielcommerce provides its users with a secured environment through its SSL certified marketplace software and gains the trust of the users. You can be easily promoted online with this SEO-optimized platform. Stay connected with your customers all the time with the in-build communication channels.

The pleasing features of this multi vendor marketplacce solution

  • Multilingual and multiple currency support
  • Multiple payment options to facilitate buyers
  • Real-time tracking feature to track orders online
  • Wide delivery option for buyers’ convenience
  • A dedicated mobile application that will suit your business demands
  • Review and rating system to enhance the performance of the platform
  • 24/7 technical support from our end.

Best Use Cases

Client’s Rating

  • Ease of use: 4.5/5
  • Customer service – 4.7/5
  • Overall: 4.6/5

Explore Zielcommerce Multi vendor Ecommerce Platform

2. X-cart – a well-known multi vendor marketplace platform solution

This is image title
X-cart is a standalone online marketplace solution for your online business needs. You can get the complete comprehensive features within this multi vendor marketplace software that can meet the customers’ expectations. A genuine approach is maintained and the users trust X-cart for its outstanding functionalities that satisfy the multi vendor market demands.

Platform Highlights

  • Xcart stands alone in the market by providing best multi vendor marketplace solutions that will facilitate users to increase their online credibility.
  • If you prefer to build a multi vendor marketplace platform like amazon or eBay then Xcart is the perfect choice.

It has gained the trust of thousands of users and people who use Xcart as their online multi vendor marketplace software has given the best review about the product.

The salient features of this multi vendor ecommerce platform solution

  • One-time payment to purchase the marketplace software
  • In-built marketing and promotion tools to promote the multi vendor marketplace software
  • Trusted payment gateways integrated with the website
  • Reliable order management system.
  • On-time delivery management

Best Use Cases

  • Hyperlocal Ecommerce Platform
  • Jewellery e-commerce Store
  • Electronics Ecommerce Platform
  • Furniture Ecommerce Platform

Client’s Rating:

  • Ease of use : 3.5/5
  • Customer service – 3.4/5
  • Overall : 3.5/5

Explore Xcart Multi vendor Marketplace Software

3. Cs cart – a perfect multi vendor marketplace solution

This is image title

CS-Cart has never disappointed its users and it comes with the complete ecommerce marketplace solution for all your business demands. You can gain perfect control over the online multi vendor marketplace platform and can personalize the platform to suit your business needs. You will get higher visibility and can easily attract your target audience with the CS-Cart marketplace solution.

Platform Highlights

  • CS-cart is the most reliable best ecommerce marketplace platform that gives a user-friendly platform for the user.
  • The interface is easily understandable and no technical knowledge is needed to maintain the multi vendor marketplace software.

You can gain the attention of global audiences through its multilingual support and can take your brand all over the world and build a strong branding with the help of CS cart.

The key features of this multi vendor ecommerce website solution

  • SEO- friendly platform that will help you to get top ranking in all search engines.
  • Mobile –friendly and will get you more mobile users as your customers
  • Get genuine customer care support
  • Well-integrated with all third-party software.
  • The online multi vendor ecommerce platform will have social media logins

Best use cases

Client’s Rating :

  • Ease of use : 4.1/5
  • Customer service – 4.3/5
  • Overall :4.2/5

[Explore Cscart Online Marketplace Software](https://www.cs-cart.com “Explore Cscart Online Marketplace Software”)

4. Arcadier – Superlative Multi vendor marketplace platform

This is image title

Arcadier is the SaaS (Software-as-a-Service) provider that allows businesses, SMEs, local communities, government agencies and entrepreneurs to manage their online multi vendor marketplace platform more efficiently and affectionately. Arcadier has many attractive features that can grab the attention of vendors.

Platform Highlights

  • When you have multiple vendors only then you can call your platform as a best ecommerce marketplace platform.
  • This is quite easy when you go for Arcadier.
  • The genuine support that you get with this online multi vendor enterprise marketplace platform will retain your vendors and also your buyers and provides better multi vendor marketplace software to your business needs.

Apart from other SaaS online marketplace platforms on the market that offer a temporary solution for all purposes, Arcadier allows users to choose between multiple options in buying and selling products or services to rental spaces and other business models.

**The Prominent features of this online multi vendor marketplace software solution

  • The seller can manage to add variations to each listing, and also placing images and surcharges on each and every variant.
  • User-friendly platform to get the top ranking in all search engines.
  • Manually configure specific dates and hours of your ads on the calendar.
  • A Complete customer support assistance

Best Use Case

  • Clothing and accessories multi vendor ecommerce platform
  • Handicrafts Online marketplace platform
  • Hair stylist scheduling software
  • On demand movies online marketplace platform

**Client’s Rating: **

  • Ease of use : 3.2/5
  • Customer service – 3/5
  • Overall : 3.1/5

Explore Arcadier Multi vendor Marketplace Platform

5. Bigcommerce - Exquisite Multi Vendor Marketplace Software

Multi vendor Marketplace that converts your single admin online store into Multi vendor Marketplace. It provides of adding vendors and maintain the track record of their order and sales. Apart from vendor features, Bigcommerce gives best buyer features that will impress buyers and make them decide on buying products in your online multi vendor ecommerce platform.

Platform Highlights

  • Offers and discount features are available that will delight buyers and will make them refer more customers to your best ecommerce marketplace platform.
  • You can also easily retain your customers by keeping them about new arrivals and offers.
  • As a store admin, you have background access and control and manage the products, orders, vendors and their products.

It comes with an option which, without the approval of the vendor admin the product would not be visible in the forefront. This online multi vendor marketplace platform is excellent features and creating various plans for vendors, a payment management system for vendors.

Impressing features of this online multi vendor marketplace software solution

  • Flexible Functionality Product approval
  • An admin can have full access to the seller’s profile, products, manage
  • Synchronizing products and orders from the “Bigcommerce store” to the "market.
  • Without any issue, the admin can create a “Payment” for the seller, once a product is out of stock.

Best Use Case

  • best online salon scheduling software for salon owners
  • Educational books online marketplace platform
  • Food delivery multi seller ecommerce platform
  • Fashion and clothing ecommerce platform

Explore Bigcommerce Multi vendor Ecommerce Platform

6. IXXO - Ideal Multi Vendor marketplace software

This is image title
Ixxo is an ideal marketplace solution for those who want to open and manage a high-volume marketplace as IXXO online Multi Vendor ecommerce platform offers unlimited product and unlimited vendor capacity. The marketplace owners can configure vendor privileges purely based on vendors. this help the multi vendor marketplace software owner to provide the basic vendor features, where the vendors dont have much ecommerce experience and privileges.

Platform Highlights

This will ensure that the delivery is taking place in the right way. If there is any delay then through a proper messaging system the buyer will get intimation regarding the delay. This feature impresses the customer and makes the platform the best one.

Splendid features of this best ecommerce marketplace platform solution

  • Simple Checkout Process
  • A wide range of payment options
  • Responds promptly and friendlily.
  • Feature-rich provider dashboard.

Best Use Cases

**Client’s Rating: **

  • Ease of use : 4.1/5
  • Customer service – 4.3/5
  • Overall :4.2/5

Explore IXXO cart Online best marketplace softwarebest marketplace software

7. Sharetribe - Structured Multi vendor marketplace solutions

Sharetribe is one of the excellent SaaS platforms for building and launching a online multi vendor marketplace software. Easy setting changes to your color theme and photos, instantly.

Platform Highlights

  • It is merged with a integration process, the marketplace allows users to sell products or services online without any technical support.
  • Sharetribe has all in-built marketing tools that will easily promote your brand globally with less effort.

This online multi vendor marketplace platform gives a perfect shopping experience to customers and also satisfied selling experience to vendors. Users can trust sharetribe for their business requirement and can get a trustworthy marketplace solution that will leverage their business to greater levels.

Core features of this best ecommerce marketplace platform

  • It is a comprehensive tool for customizing your marketplace.
  • Responsive Design for users, optimized for every screen.
  • More conversions rate and decrease in bounce rate.
  • A comprehensive content management system to maintain an active market with visual content.

Best Use Cases

**Client’s Rating:**

  • Ease of use : 3.9/5
  • Customer service – 3.7/5
  • Overall :3.8/5

Explore Sharetribe Multi vendor Marketplace Software

8. Appdupe - Intuitive Multi vendor marketplace software

A online Multi vendor marketplace platform is an online marketplace where many sellers can sign up, create their profiles and add products and sell when they want. One of the best examples of multi vendor platforms right now is Amazon, and so on. Well, the ecommerce marketplace software has multiple benefits for its users and vendors.

Platform Highlights

  • Appdupe gives customers to share their reviews and give ratings for the product they have purchased.
  • Vendors can also read the reviews written by their customers and this will help them to enhance their online multi vendor marketplace platform in a better way.
  • Appdupe also supports multiple revenue models and users can select the one that perfectly suits their business and can get better returns with minimum investment.

Impressing feature of this best ecommerce marketplace platform

  • It provides a hassle-free process
  • Easily download and handle their products in a simple way.
  • Separate dashboard for seller and buyer data formatting may go all the way.
  • Analysis and enhanced the ROI

Best Use Cases

9. Miva - Outbreaking Multi vendor marketplace platform

Is a flexible multi seller ecommerce platform that can be easily modified as their business evolves with more conversions rate, better integrations, with complete solutions for all aspects of online sales, This online multi vendor marketplace software help them generate revenue and increasing the average order value and with less operating costs.

Platform Highlights

Miva suits to any business model and business size. This online multi vendor marketplace platform is very cost-effective and even a startup who plans to start an online store with minimum investment can easily go for Miva.

The online ecommerce marketplace software looks like it has been built from scratch. It inherits all essential features that are needed to run a multi vendor marketplace platform successfully. All you need is to buy the platform and launch the marketplace and can start earning instantly.

Intuitive feature of this best marketplace software

  • Admin can control and manage the review and approval of new products
  • Flexible commissions for every vendor sale based on subscription plans
  • Separate dashboard for a vendor to manage their own product listing
  • The separate seller has a unique profile on the marketplace and products limits based on membership plans

Best Use Cases

**Client’s Rating: **

  • Ease of use:4/5
  • Customer service – 3.7/5
  • Overall: 3.9/5

10. Quick eSelling – A Proven Multi vendor Marketpalce platform

Quick eSelling is a popular multi vendor online marketplace platform with upgrade features and a more comfortable platform for global merchants and seller to start their own online store. Quick eSelling is an online store feature for Customer Engagement and Retention. This platform has been designed to help you significantly increase your sales and save time.

Platform Highlights

  • Quick e-selling marketplace platform allows you to set commission plan for every individual vendor.
  • You can easily analyze their performance through proper analytics and reports.
  • You can boost the poor performing vendor by providing less commission percentage and boost their sale.

his will satisfy vendors and will make them stay with your best multi vendor marketplace software for a long time. You can get complete support from the technical team round the clock. Whenever customization needed the technical team will guide you in designing your own online multi seller ecommerce platform.

The essential feature of this Multi vendor marketplace software

  • SEO-friendly for ecommerce web development and essential to ensure high traffic
  • Vendors can check sales trends through graphs and data information inputs for building strategies
  • A secured platform for merchants and customers’ transitional communication.
  • It makes it easy for you to launch your online business effectively

Best Use Cases

  • Fashion and accessories marketplace platform
  • E-Book marketplace software
  • Food and beverages ecommerce platform
  • Jewellery online multi vendor ecommerce platform.

Client’s Rating:

  • Ease of use : 3.5/5
  • Customerservice – 3.3/5
  • Overall :3.4/5

11. Smartstore Z – a multifaceted marketplace platform

This is the most recommended online marketplace platform that holds thousands of active users. The advanced security feature supports users to store customers’ data in a secured way. The platform can stand against all malware attacks as it contains SSL certification.

Platform highlights

The extraordinary inventory management system will let sellers maintain their stock in an effective way. The order process will never be interrupted due to a shortage of stock. Proper notifications will be sent to respective sellers whenever their stock hits the minimum value.

This multi vendor software supports thousands of templates and plugins that can be used by users to customize their marketplace to meet their business demands. Being a user-friendly marketplace platform, no technical knowledge is needed to manage the platform. The dedicated dashboard will support the admin to know the exact working condition of their business.

Features of this multi vendor ecommerce marketplace platform.

  • The platform is perfectly scalable and supports future business expansion and can hold a huge customer database for a long time.
  • Buyers will be benefited as they can utilize multiple delivery options. They can select their convenient delivery slot and can order products.
  • Users can integrate their existing software that is used for their business operations with this multi vendor ecommerce platform as it supports any third-party API.
  • Sellers are allowed to have unlimited product listings that will help them to reach their customers easily.

 Best use cases

  • On-demand cab booking marketplace platform
  • Online ticket booking platform
  • Refurbished good selling platform
  • Hyperlocal multi vendor eCommerce platform

Client’s Rating: 

  • Ease of use: 3.8/5
  • Customer service – 3.4/5
  • Overall: 3.6/5

Smartstore Z is the most compatible multi vendor eCommerce store that will fit into any business model and business size.

5.     Brainview – a commendable online marketplace platform

Brainview has the most enchanting UI & UX that can gain the attention of your target audience and will make them buy products on your platform. Users can get globally connected as the marketplace supports multiple languages and multiple currencies. Advanced technologies are implemented just to provide a seamless shopping experience to customers.

Platform highlights

Excellent customer support is offered by this multi vendor platform and customers can have direct communication with the concerned seller and they can get more details about the product or service before they buy. This will reduce returns and refunds. Many customer-attracting features are available in this marketplace platform like loyalty programs, referral programs, and many more.

Acquiring more customers is not at all a challenge for this best multi vendor marketplace software. Several revenue streams like commission fee, subscription fee, affiliate modules, advertisements, and many more are integrated with this online marketplace platform.

Features of this multi vendor eCommerce platform

  • Supports a better authentication process that will avoid spam users entering the marketplace.
  • A dedicated mobile application is available and users of both Android and iOS can use and get a better user experience.
  • The platform offers multiple payment options that will facilitate customers to pay and buy online through secured payment gateways.
  • Customers can enjoy offers and discounts for all products they buy through this robust multi-vendor platform and this will motivate them to refer others to your marketplace.
  • Supports social media login and sharing as it benefits both sellers and buyers to login through social media credentials and share products in their social media pages.

Best use cases

  • Grocery eCommerce marketplace platform
  • Cosmetics and fashion accessories e-stores
  • Online movies download eCommerce platform
  • Hyperlocal multi-vendor eCommerce platform
  • Online jewelry marketplace platform

Client’s Rating: 

·       Ease of use: 4/5

·       Customer service – 4.2/5

·       Overall: 4.1/5

Brainview is the significant multi vendor eCommerce store that give 100% customization and scalability to users.

Types of Multi vendor Marketplace Platform

There are several types of multi vendor marketplace software in the market. One needs to understand all the types and should know to identify which type of marketplace platform suits his business well.

  • Vertical marketplace – this type of best marketplace software concentrates only on one particular service and you cannot find a wide range of services in these platforms. Etsy is a good example of a vertical marketplace where the platform sells handmade crafts alone.
  • Horizontal marketplace – this platform is opposite to a vertical marketplace where you can find several types of services under one roof. Amazon is a perfect example of this type of marketplace.
  • Product-based marketplace – you can find a wide range of products in this marketplace. The products can be physical goods or even digital goods. Amazon and Flipkart are the product-based marketplaces.
  • Service-based marketplace – service providers will list their services like plumbing, personal care, pest control, and many more. Upwork and Fiverr are service-based marketplaces.

Start a Ecommerce Business with the Best Marketplace Platforms Provider

The million-dollar question that has arisen in the minds of every budding entrepreneur is how to start a online multi vendor ecommerce platform. Full attention is needed while building a ecommerce marketplace software. It is not as simple as you think. Only through this multi vendor ecommerce platform, you are going to be recognized by the vendors and the buyers. This multi vendor platform is going to earn you money so it cannot have any flaws.

One way of building a online multi vendor marketplace software is to build it from scratch. First, you need to hire a reputed multi vendor ecommerce platform development company that has ample knowledge about this field. Then you need to explain to them about your requirements and expectations.

They will develop and will show you the demo. During the demo session, you can let them know your modifications and they will also clarify your doubts. At last, your multi seller ecommerce platform will be ready to launch and you can start promoting your multi vendor marketplace software.

The major fact to be noted is, when you build a online multi vendor ecommerce platform from scratch you need to wait for a long time and you need to spend more on the development. If you are okay with it then you can proceed. Else you have another option to go with.

Another option is buying ready made online multi vendor marketplace software that will have all the essential features that are required to run the platform successfully. The software will be tested and proved so there will not be any flaws. You can instantly launch the software after purchasing.

You can get an instant solution to building a multi vendor online marketplace software. This method is quite very cost-effective and it is highly advisable for the startups that are new to this field. You can also customize the software to suit your business needs.

Must have Features in a multi vendor marketplace Platform

The features that are built in the online multi vendor ecommerce platform will determine the user experience and will gain customer satisfaction. Now let us check out the comprehensive features that are too in a multi vendor ecommerce platform.

  • Easy customization – the buying behaviors of the customers keep changing so the multi vendor ecommerce website should keep changing over a while. So customization is a default expectation in any multi vendor ecommerce platform.
  • Advanced search and navigation tool – the best user-interface will provide easy navigation and will let the buyers find the product in a simple way.
  • Payment gateways – the online multi vendor ecommerce website should have multiple payment gateways integrated with it. This will provide more convenience to the buyers
  • Secured website – the online multi vendor ecommerce platform should have an SSL configuration and should provide a secured transaction to the buyers and the vendors.
  • Multi-lingual and multi-currencies support – for reaching a global audience the online multi vendor ecommerce website should support multiple languages and currencies.
  • Review and ratings – the buyers expect this feature to be in the online multi vendor ecommerce platform they purchase the product.
  • Simple checkout – a complicated checkout process will make the buyers abandon the site. You need to have hassle-free checkout procedures in your online multi vendor ecommerce platform.

Revenue generation channels on a multi vendor marketplace Platform:

The main objective of building a online multi vendor ecommerce platform is to earn profit and generate more sales. This will be the ultimate motive for any entrepreneur. We need to know what are the revenue sources that a multi vendor marketplace software provides to the admin of the platform.

  • Commission fee – this is a mutual agreement made between the admin and the vendor where the vendor agrees to pay a certain percentage of commission on all products he sells through the online best multi vendor marketplace software. The commission percentage can vary from vendor to vendor.
  • Subscription fee – the admin can set a subscription fee and can make the vendors subscribe with the online multi vendor marketplace software and become a paid member of the platform. The membership needs to be renewed over some time.
  • Listing fee – the vendors will be charged when they want their products to be listed on the marketplace solutions.
  • Advertisement fee – you can allot some space in your online ecommerce marketplace software for advertisement alone and can allow third-party to post their ads in the allotted space and you can charge them accordingly.\

How Products and Services are delivered in a multi vendor marketplace?

The multi vendor ecommerce platform will follow a hassle-free shipping and delivery process. This is where you can gain the maximum trust of your buyers and will also help you retain your customers effectively.

  • Once the order is placed by the buyer, the notification is sent to the concerned vendor from the multi vendor ecommerce platform.
  • The vendor will check the availability of the product and will arrange for shipping and delivery. In some cases, the admin of the online multi vendor ecommerce platform will take care of shipping and delivery.
  • The online multi vendor ecommerce platform will be integrated with shipping logistics and the logistic people will come and collect the product from the seller and will deliver it to the customers.
  • If a service is provided instead of a product then the service provider will get the notification and he will send his technical person to do the service to the customer place.

How it's Beneficial

Online buyers need a one-stop solution to fulfill all their demands. Without searching for several sites to buy several products, users can just visit one online store and find a variety of products and it is quite a time saving process. A single platform that contains several vendors and their products is called a multi vendor ecommerce platform.

With the evolution of technology, multi vendor marketplace platforms have taken a new dimension that can easily predict customers’ buying behavior. The key pillars involved in any multi vendor marketplace are the admin, vendors and buyers. The platform will act as a bridge to connect all of them and facilitate users to be benefited. Let us analyze the benefits of a multi vendor ecommerce platform in detail.

Conclusion

By all means, building best multi vendor marketplace software will surely benefit us and will let to get more returns. We should also accept the fact that there are many challenges that a online marketplace software will face at its early stage. But still the future of this industry is unbeatable and you can firmly set your mind in starting your own multi seller ecommerce platform.

Understanding the importance and the functioning of a online multi vendor marketplace software will help you to build a flawless multi vendor ecommerce software. When you build a multi vendor marketplace platform with utmost perfection then you can easily win the market and can gain your audience’s attention with less effort.

#multi seller ecommerce platform #multi vendor marketplace platform #multi vendor marketplace software #best multi vendor marketplace platform #multi vendor ecommerce platform #online multi vendor software

Frank Xu

1625038259

Thread Gauge Calibration - What Should You Know?

If you are using thread gauges or thread ring gauges you would have already heard about calibration. If you do not pay attention to thread gauge calibration then the integrity of the thread gauges you are purchasing and using could be compromised. In case you do not know what is thread gauge calibration and what is its significance then here are a few important factors that you should know about calibration.

When you order a custom trapezoidal thread gauge or a custom Whitworth thread gauge or for that matter any thread gauge, how will you know that it is exactly matching your requirements and specifications? As you know the thread gauges are inspection tools and unless they are 100% accurate there is no use having a thread gauge. When you calibrate the thread gauge you will know whether or not the tool is true to its specifications and whether it matches the required specifications 100%.

It is important to get calibration certificate along with your thread gauge when ever you are purchasing your thread gauge. All the manufacturers will arrange for a third party calibration certificate if you inform them early enough while placing your order. This may have an additional cost but you cannot avoid this cost because without having the confirmation that your thread gauge is delivered as per your requirements, you cannot confidently check the components that need to be inspected with your thread gauges. If there is any issue with the thread gauge you will think that there is something wrong with the threaded components. As a result, you would keep rejecting those components when the actual issue is with the thread gauge you are using. All such issues and mistakes could be avoided or minimized when you go for a calibration certificate when you are buying your thread gauges.

You may need to go for recalibration every time you repair your thread gauge or make any modifications to it. In case you are experiencing sudden episode of issues with your threaded components then it is best to first check the thread gauges you are using to ensure that the problem is not with the thread gauge.

It is also important to get a calibration certificate for your thread gauge if the tool has been dropped or if someone that is not trained properly use the thread gauge and exerts undue force. In other words, whenever you suspect that the thread gauge could have been damaged then it is vital go check the thread gauge and calibrate it so that you can be sure of the accuracy of the thread gauge.

Always source all your thread gauges from the most trusted companies. Whenever you are calibrating your thread gauge get it done from a reputed calibration center. You cannot afford to have a faulty thread gauge as it is an inspection tool, a standard that is used to measure the accuracy of the other tools. Therefore, make sure that your thread gauges are always well maintained and regularly calibrated.

#trapezoidal thread gauge #thread gauges #thread ring gauges #thread plug gauges #metric thread gauges #unef thread gages