Flutter Dev

Flutter Dev


Entity - A simple ORM for Relational and NoSQL Database

A very simple ORM for relational, NoSQL database, and simple maps. It is designed to work on browsers, so it doesn't use mirrors or annotations.

Build Status

Who Uses

  • Quire - a simple, collaborative, multi-level task management tool.
  • Keikai - a sophisticated spreadsheet for big data

Use this package as a library

Depend on it

Run this command:

With Dart:

 $ dart pub add entity

With Flutter:

 $ flutter pub add entity

This will add a line like this to your package's pubspec.yaml (and run an implicit dart pub get):

  entity: ^2.0.1

Alternatively, your editor might support dart pub get or flutter pub get. Check the docs for your editor to learn more.

Import it

Now in your Dart code, you can use:

import 'package:entity/entity.dart';

Download Details: 

Author: rikulo

Official Website: https://github.com/rikulo/entity 


What is GEEK

Buddha Community

Kole  Haag

Kole Haag


What is NoSQL and How is it Utilized?

Posted on September 25, 2020 by Dean Conally | Updated: October 8, 2020

Category: Tutorials | Tags: CassandraColumnsDatabaseDatabase ManagementDatabase StructureDB2Document StoresDynamic SchemaExtensible Record StoresGraph StoresJSONKey-ValueMSSQLMulti-RowMySQLNodeNode Relationship NodeNon-Relational DatabasesNoSQLNoSQL ModelQueryRowsScalabilitySchema FreeSQLStoresTablesWide-Column

Reading Time: 5 minutes

What is NoSQL?

A NoSQL or a NoSQL Database is a term used when referring to a “non SQL” or “not only SQL” database. NoSQL databases store data in a different format than a traditional relational database management systems. This is why NoSQL is often associated with the term “non-relational” database. Simply put, NoSQL databases are modern databases with high flexibility, blazing performance, and built for scalability. These databases are used when you require low latency and high extensibility while working with large data structures. The versatility of NoSQL is due to the nature of as being unrestricted in comparison to relational databases models such as MySQL or DB2.

SQL vs. NoSQL Comparison

There are multiple differences between SQL and NoSQL database types. In the table below, we will compare some of the most critical variations.

#tutorials #cassandra #columns #database #database management #database structure #db2 #document stores #dynamic schema #extensible record stores #graph stores #json #key-value #mssql #multi-row #mysql #node #node relationship node #non-relational databases #nosql #nosql model #query #rows #scalability #schema free #sql #stores #tables #wide-column

Ruth  Nabimanya

Ruth Nabimanya


What is SQL? And Where is it Used?

Define: SQL [pron. “sequel”] – stands for Structured Query Language (SQL), used by databases to model and manage tabular/relational datasets; a set of standardized Data Definition Language (DDL) functions to create tables, views, and define relational schema models, and Data Manipulation Language (DML) to query, insert, and modify data in the tables.

*Read-only select queries are technically part of its Data Query Language (DQL) group. Still, operationally, many refer to it as DML because it can do more than read-only queries.

Super Brief History of SQL

Who Uses SQL?

What Can a SQL Database Do?

What is a SQL Query?

Different SQL Database Platforms


Application Developers

SQL for Big Data

Further Reading

#sql #database #relational-database #nosql #json #sql-database #database-administration #databases-best-practices

Django-allauth: A simple Boilerplate to Setup Authentication


A simple Boilerplate to Setup Authentication using Django-allauth, with a custom template for login and registration using django-crispy-forms.

Getting Started


  • Python 3.8.6 or higher

Project setup

# clone the repo
$ git clone https://github.com/yezz123/Django-Authentication

# move to the project folder
$ cd Django-Authentication

Creating virtual environment

  • Create a virtual environment for this project:
# creating pipenv environment for python 3
$ virtualenv venv

# activating the pipenv environment
$ cd venv/bin #windows environment you activate from Scripts folder

# if you have multiple python 3 versions installed then
$ source ./activate

Configured Enviromment

Environment variables

SECRET_KEY = #random string
DEBUG = #True or False
ALLOWED_HOSTS = #localhost
DATABASE_NAME = #database name (You can just use the default if you want to use SQLite)
DATABASE_USER = #database user for postgres
DATABASE_PASSWORD = #database password for postgres
DATABASE_HOST = #database host for postgres
DATABASE_PORT = #database port for postgres
ACCOUNT_EMAIL_VERIFICATION = #mandatory or optional
EMAIL_BACKEND = #email backend
EMAIL_HOST = #email host
EMAIL_HOST_PASSWORD = #email host password
EMAIL_USE_TLS = # if your email use tls
EMAIL_PORT = #email port

change all the environment variables in the .env.sample and don't forget to rename it to .env.

Run the project

After Setup the environment, you can run the project using the Makefile provided in the project folder.

 @echo "Targets:"
 @echo "    make install" #install requirements
 @echo "    make makemigrations" #prepare migrations
 @echo "    make migrations" #migrate database
 @echo "    make createsuperuser" #create superuser
 @echo "    make run_server" #run the server
 @echo "    make lint" #lint the code using black
 @echo "    make test" #run the tests using Pytest

Preconfigured Packages

Includes preconfigured packages to kick start Django-Authentication by just setting appropriate configuration.

django-allauthIntegrated set of Django applications addressing authentication, registration, account management as well as 3rd party (social) account authentication.
django-crispy-formsdjango-crispy-forms provides you with a crispy filter and {% crispy %} tag that will let you control the rendering behavior of your Django forms in a very elegant and DRY way.


  • Django-Authentication is a simple project, so you can contribute to it by just adding your code to the project to improve it.
  • If you have any questions, please feel free to open an issue or create a pull request.

Download Details:
Author: yezz123
Source Code: https://github.com/yezz123/Django-Authentication
License: MIT License

#django #python 

Data Storage in 2021: Choosing the Right Tools for the Job

Reading about the death of the relational database seems like a regular occurrence. However, here we are in 2021, and the relational data store is going strong. If we look at the DB-Engines Ranking website, six of the top 10, including the top four spots, are all relational data stores. Evidently, structured, or relational, data storage is here to stay. Yet four of the top spots are held by non-relational engines. Could that mean that relational data storage is really dying?

The core of this question is not really which kind of data store is better between a relational, normalized structure or a non-relational, denormalized storage mechanism. No, the real core question is: What kind of data store should your organization be using in 2021?

The shortest possible way I can answer this question is as follows:

All of them.

The fact is, you’re much better off not trying to answer your data needs with one, single methodology. Let’s discuss why.

#nosql #sql #data storage #relational database #data consistency #relational data #structured data #non-relational database #data stores #database choice

Ruth  Nabimanya

Ruth Nabimanya


Relational vs Non-Relational Databases

If we have a look at available databases, we see a clear line, drawn in the middle. On one side, relational systems like MySQL, PostgreSQL, or SQLite. On the other side, non-relational ones like MongoDB or Neo4j. In this article you will learn the difference between them and which ones, you should use when!

Relational data

Non-relational data

When to use what?

Can I mix multiple databases?

#engineering #database #nosql #coding #sql #relational vs non-relational databases