Top 5 JavaScript Libraries for Creating Beautiful Charts for Developer

There are now thousands of charting libraries floating around out there on the JavaScript sea. When it comes to charting, it’s very easy for us to be enthralled by a beautiful interface. But, it is to our great detriment to jump into bed with a charting library without knowing the real substance behind it.

A nice interface and copy / paste code are all well and good if we need something generic to our needs, but realistically, most of the time we need something tailored to our use case. And more than that — we need a reliable charting library that we can build upon.

In this article we will introduce you to the top 5 JavaScript charting libraries available today to help you make informed decisions when working on a project for you.

1. Chart.js

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ChartJS provides beautiful flat designs for charts. It uses the HTML5 Canvas element for rendering and supports all modern browsers (IE11+).

ChartJS charts are responsive by default. They work well on mobile and tablets. There are 8 different types of charts out of the box (Line, Bar, Radar, Doughnut and Pie, Polar Area, Bubble, Scatter, Area), plus the ability to mix them. All charts are animated and customizable.

2. HighCharts

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HighCharts a modern charting library based on SVG technology. It doesn’t require any plugin. Apparently, HighCharts is used by 70% of the largest companies in the world. Particularly with this library, you can become a fan of the dynamic charts, which enable the end user to tangibly interact with the data. The integration with all of the major web frameworks is very simple.

In all of its simplicity, Highcharts is also very much compatible with old browsers, so you can pick it if you don’t need to represent data using advanced charting styles.

3. D3.js

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When we think of charting today, D3.js is the first name that comes up. Being an open source project, D3.js definitely brings many powerful features that were missing in most of the existing libraries. Features like dynamic properties, Enter and Exit, powerful transitions, and syntax familiarity with jQuery make it one the best JavaScript libraries for charting. Charts in D3.js are rendered via HTML, SVG and CSS.

Unlike many other JavaScript libraries, D3.js doesn’t ship with any pre-built charts out of the box. However, you can look at the list of graphs built with D3.js to get an overview. As you can see, D3.js supports a vast variety of chart types.

A drawback for beginners could be its steep learning curve, but there are many tutorials and resources to get you started.

D3.js doesn’t work well with older browsers like IE8. But you can always use plugins like aight plugin for cross-browser compatibility.

4. Chartist

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Chartist is thoroughly modern, SVG based library. It was built upon the idea that other libraries were simply not giving enough customisation options. The biggest feature, arguably, is the SVG animations in the charts produced with this library.

If a modern browser is used, one can implement CSS3 animations on SVG attributes that turn standard charts into something much more visually pleasing. One can also implement much more extensive animations with SMIL.

This library looks aren’t just skin deep. It has a solid technology base and is very easy to implement. Within minutes, one can have incredibly impressive, expressive charts that interact easily with any backend data source. Chartist is notably easy to configure, as well as being easy to customize with Sass. It, however, doesn’t support older browsers like its “sister” Chart.js does.

5. ZingChart

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ZingChart offers a flexible, interactive, fast, scalable and modern product for creating charts quickly. Their product is used by companies like Apple, Microsoft, Adobe, Boeing and Cisco, and uses Ajax, JSON, HTML5 to deliver great-looking charts quickly.

ZingChart offers more than 35 responsive chart types and modules, which can also be showing data in real-time. They can be styled and themed by CSS and can render big data fast.

You can check out their rich set of examples.

A branded version, with all charts, is available to try for free, but for watermark-free output you need to buy one of ZingChart’s paid licenses according to your business size.

With charting being something we all need to implement so often now, it’s no great surprise that there are many open source charting libraries available for us to choose from. The libraries I mentioned above are some of the most popular, and are all libraries I have had a chance to either implement in a production environment or to experiment with first-hand.

Thanks for reading !

#js #javascript #web_development

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Top 5 JavaScript Libraries for Creating Beautiful Charts for Developer

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Easter  Deckow

Easter Deckow

1655630160

PyTumblr: A Python Tumblr API v2 Client

PyTumblr

Installation

Install via pip:

$ pip install pytumblr

Install from source:

$ git clone https://github.com/tumblr/pytumblr.git
$ cd pytumblr
$ python setup.py install

Usage

Create a client

A pytumblr.TumblrRestClient is the object you'll make all of your calls to the Tumblr API through. Creating one is this easy:

client = pytumblr.TumblrRestClient(
    '<consumer_key>',
    '<consumer_secret>',
    '<oauth_token>',
    '<oauth_secret>',
)

client.info() # Grabs the current user information

Two easy ways to get your credentials to are:

  1. The built-in interactive_console.py tool (if you already have a consumer key & secret)
  2. The Tumblr API console at https://api.tumblr.com/console
  3. Get sample login code at https://api.tumblr.com/console/calls/user/info

Supported Methods

User Methods

client.info() # get information about the authenticating user
client.dashboard() # get the dashboard for the authenticating user
client.likes() # get the likes for the authenticating user
client.following() # get the blogs followed by the authenticating user

client.follow('codingjester.tumblr.com') # follow a blog
client.unfollow('codingjester.tumblr.com') # unfollow a blog

client.like(id, reblogkey) # like a post
client.unlike(id, reblogkey) # unlike a post

Blog Methods

client.blog_info(blogName) # get information about a blog
client.posts(blogName, **params) # get posts for a blog
client.avatar(blogName) # get the avatar for a blog
client.blog_likes(blogName) # get the likes on a blog
client.followers(blogName) # get the followers of a blog
client.blog_following(blogName) # get the publicly exposed blogs that [blogName] follows
client.queue(blogName) # get the queue for a given blog
client.submission(blogName) # get the submissions for a given blog

Post Methods

Creating posts

PyTumblr lets you create all of the various types that Tumblr supports. When using these types there are a few defaults that are able to be used with any post type.

The default supported types are described below.

  • state - a string, the state of the post. Supported types are published, draft, queue, private
  • tags - a list, a list of strings that you want tagged on the post. eg: ["testing", "magic", "1"]
  • tweet - a string, the string of the customized tweet you want. eg: "Man I love my mega awesome post!"
  • date - a string, the customized GMT that you want
  • format - a string, the format that your post is in. Support types are html or markdown
  • slug - a string, the slug for the url of the post you want

We'll show examples throughout of these default examples while showcasing all the specific post types.

Creating a photo post

Creating a photo post supports a bunch of different options plus the described default options * caption - a string, the user supplied caption * link - a string, the "click-through" url for the photo * source - a string, the url for the photo you want to use (use this or the data parameter) * data - a list or string, a list of filepaths or a single file path for multipart file upload

#Creates a photo post using a source URL
client.create_photo(blogName, state="published", tags=["testing", "ok"],
                    source="https://68.media.tumblr.com/b965fbb2e501610a29d80ffb6fb3e1ad/tumblr_n55vdeTse11rn1906o1_500.jpg")

#Creates a photo post using a local filepath
client.create_photo(blogName, state="queue", tags=["testing", "ok"],
                    tweet="Woah this is an incredible sweet post [URL]",
                    data="/Users/johnb/path/to/my/image.jpg")

#Creates a photoset post using several local filepaths
client.create_photo(blogName, state="draft", tags=["jb is cool"], format="markdown",
                    data=["/Users/johnb/path/to/my/image.jpg", "/Users/johnb/Pictures/kittens.jpg"],
                    caption="## Mega sweet kittens")

Creating a text post

Creating a text post supports the same options as default and just a two other parameters * title - a string, the optional title for the post. Supports markdown or html * body - a string, the body of the of the post. Supports markdown or html

#Creating a text post
client.create_text(blogName, state="published", slug="testing-text-posts", title="Testing", body="testing1 2 3 4")

Creating a quote post

Creating a quote post supports the same options as default and two other parameter * quote - a string, the full text of the qote. Supports markdown or html * source - a string, the cited source. HTML supported

#Creating a quote post
client.create_quote(blogName, state="queue", quote="I am the Walrus", source="Ringo")

Creating a link post

  • title - a string, the title of post that you want. Supports HTML entities.
  • url - a string, the url that you want to create a link post for.
  • description - a string, the desciption of the link that you have
#Create a link post
client.create_link(blogName, title="I like to search things, you should too.", url="https://duckduckgo.com",
                   description="Search is pretty cool when a duck does it.")

Creating a chat post

Creating a chat post supports the same options as default and two other parameters * title - a string, the title of the chat post * conversation - a string, the text of the conversation/chat, with diablog labels (no html)

#Create a chat post
chat = """John: Testing can be fun!
Renee: Testing is tedious and so are you.
John: Aw.
"""
client.create_chat(blogName, title="Renee just doesn't understand.", conversation=chat, tags=["renee", "testing"])

Creating an audio post

Creating an audio post allows for all default options and a has 3 other parameters. The only thing to keep in mind while dealing with audio posts is to make sure that you use the external_url parameter or data. You cannot use both at the same time. * caption - a string, the caption for your post * external_url - a string, the url of the site that hosts the audio file * data - a string, the filepath of the audio file you want to upload to Tumblr

#Creating an audio file
client.create_audio(blogName, caption="Rock out.", data="/Users/johnb/Music/my/new/sweet/album.mp3")

#lets use soundcloud!
client.create_audio(blogName, caption="Mega rock out.", external_url="https://soundcloud.com/skrillex/sets/recess")

Creating a video post

Creating a video post allows for all default options and has three other options. Like the other post types, it has some restrictions. You cannot use the embed and data parameters at the same time. * caption - a string, the caption for your post * embed - a string, the HTML embed code for the video * data - a string, the path of the file you want to upload

#Creating an upload from YouTube
client.create_video(blogName, caption="Jon Snow. Mega ridiculous sword.",
                    embed="http://www.youtube.com/watch?v=40pUYLacrj4")

#Creating a video post from local file
client.create_video(blogName, caption="testing", data="/Users/johnb/testing/ok/blah.mov")

Editing a post

Updating a post requires you knowing what type a post you're updating. You'll be able to supply to the post any of the options given above for updates.

client.edit_post(blogName, id=post_id, type="text", title="Updated")
client.edit_post(blogName, id=post_id, type="photo", data="/Users/johnb/mega/awesome.jpg")

Reblogging a Post

Reblogging a post just requires knowing the post id and the reblog key, which is supplied in the JSON of any post object.

client.reblog(blogName, id=125356, reblog_key="reblog_key")

Deleting a post

Deleting just requires that you own the post and have the post id

client.delete_post(blogName, 123456) # Deletes your post :(

A note on tags: When passing tags, as params, please pass them as a list (not a comma-separated string):

client.create_text(blogName, tags=['hello', 'world'], ...)

Getting notes for a post

In order to get the notes for a post, you need to have the post id and the blog that it is on.

data = client.notes(blogName, id='123456')

The results include a timestamp you can use to make future calls.

data = client.notes(blogName, id='123456', before_timestamp=data["_links"]["next"]["query_params"]["before_timestamp"])

Tagged Methods

# get posts with a given tag
client.tagged(tag, **params)

Using the interactive console

This client comes with a nice interactive console to run you through the OAuth process, grab your tokens (and store them for future use).

You'll need pyyaml installed to run it, but then it's just:

$ python interactive-console.py

and away you go! Tokens are stored in ~/.tumblr and are also shared by other Tumblr API clients like the Ruby client.

Running tests

The tests (and coverage reports) are run with nose, like this:

python setup.py test

Author: tumblr
Source Code: https://github.com/tumblr/pytumblr
License: Apache-2.0 license

#python #api 

Ajay Kapoor

1626321063

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Mya  Lynch

Mya Lynch

1598065860

Top 5 JavaScript Libraries to Create an Organizational Chart

In this article, we’ll review five JavaScript libraries that allow you to create online organizational charts. To make this info useful for different categories of readers, we’ve gathered together libraries with different functionality and pricing policy. To help you decide whether one of them is worthy of your attention or not, we’ll take a look at the main features and check if the documentation is user-friendly.

DHTMLX Diagram Library

The DHTMLX diagram library allows creating easily configurable graphs for visualization of hierarchical data. Besides org charts, you can create almost any type of hierarchical diagrams. You can choose from organizational charts, flowcharts, block and network diagrams, decision trees, mind maps, UML Class diagrams, mixed diagrams, and any other types of diagrams. This variety of diagrams can be generated using a built-in set of shapes or with the help of custom shapes.

You can set up any diagram shape you need with text, icons, images, and any other custom content via templates in a few lines of code. All these parameters can be later changed from the UI via the sidebar options in the editor.

Top 9 JavaScript Charting Libraries

The edit mode gives an opportunity to make changes on-the-fly without messing with the source code. An interactive interface of the editor supports drag-and-drop and permits you to change each item of your diagram. You can drag diagram items with your mouse and set the size and position property of an item via the editor. The multiselection feature can help to speed up your work in the editor, as it enables you to manipulate several shapes.

The library has an exporting feature. You can export your diagram to a PDF, PNG, or JSON format. Zooming and scrolling options will be useful in case you work with diagrams containing a big number of items. There is also a search feature that helps you to quickly find the necessary shape and make your work with complex diagrams even more convenient by expanding and collapsing shapes when necessary. To show the structure of an organization compactly, you can use the vertical mode.

The documentation page will appeal both to beginners and experienced developers. A well-written beginner’s guide contains the source code with explanations. A bunch of guides will help with further configuration, so you’ll be able to create a diagram that better suits your needs. At the moment, there are three types of licenses available. The commercial license for the team of five or fewer developers costs $599, the enterprise license goes for $1299 per company, and the ultimate license has a price tag of $2899.

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