All in One pack from development to docker images!
Modern API constructor that helps developers to interact with back-end services
Modern database: Super fast response (on query search time computation O(1)), high performance (with horizontal scaling) and reliable source (with triple validation processes Client + API + Server)
Unit testing with at least 75% of coverage, furthermore end-to-end testing 100% of it's coverage
Simple client-side response (Front-END)
| Django Swagger UI | Fastapi Openapi Swagger UI |
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All tool essential, primary choice built with it's initial release date are greater than year 2018 except git, python3 and django
Based on CAP theorem an database that chooses Partition Tolerance first then Availability or Consistency second (second depends on your choice)
Free installation for static client-side web page, free/paid template or configuration of well-documented client-side web app
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Python3 - IRD 2008 - Interpreter language
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Django - IRD 2005 - The model–template–views architectural pattern web framework or!
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Swagger - IRD 2011 - OpenAPI/Swagger-generated API Reference Documentation or!
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FireO - IRD 2019 - A modern and simplest convenient ORM package in Python or!
- FirestoreORM - IRD 2019 - A module that adds support for firestore Object Relational Mapping to your application
- FirebaseORM - IRD 2018 - Django like models for NoSQL database Firestore
- custom - Any other similar choice as non-sql db orm, based on no-sql type db chosen
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FireStore - IRD 2019 - Cloud-hosted NoSQL document database that lets you easily store, sync, and query data for your mobile and web apps - at global scale or!
- FireBaseRealtimeDB - IRD 2012 - Cloud-hosted NoSQL database that lets you store and sync data between your users in realtime.
- DynamoDB - IRD 2019 - Cloud-hosted fast and flexible NoSQL key–value pair database service for any scale
- custom - Any other similar choice as nonsql cloud-hosted or server-hosted db
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GitHub - IRD 2008 - Cloud-distributed version control and source code management functionality or!
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Shell/Bash - IRD 1989 - A computer program designed to be run by the Unix shell, a command-line interpreter or!
- custom - Any other similar choice as a script helper between docker container and kernel or os img (like cloud shell in GCP AWS or AZURE)
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Pytest - IRD 2010 - Framework makes it easy to write small tests, yet scales to support complex functional testing for applications and libraries
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Selenium - IRD 2008 - Run web automation tests with ease. ... to the front end, they need to run appropriate cross browser tests
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Docker - IRD 2013 - A set of platform as a service products that use OS-level virtualization to deliver software in packages called containers
Setup and Installation without including environment variables
- i. INSTALL GIT and python in your MACHINE | Dowload git from here lastest version Git and python
- ii. Install venv on python by running on terminal/cmd | 'pip install virtualenv'
- iii. Open in terminal/cmd folder path where wana clone/install this library
- iv. Create virtual enviroment using interpreter python v3 | 'python -m venv env'
- v. Activate enviroment by running on terminal/cmd | '.\env\Script\activate'
To get a local copy up and running follow these simple example steps.
ON LINUX MACHINE:
- i. Open Terminal | Go to the dir that you wana save your files
ON WINDOW MACHINE:
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i. Open Git Bash | Go to the dir that you wana save your files
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ii. Clone One The Repository | Type | 'git clone https://github.com/R4Ajeti/$repo_name'
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iii. Run The Code | Give access to shell script and run shell script: Type | 'chmod 777 run.sh & ./run.sh'
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iv. Enjoy And Report Bug | Report bug on r4ajeti@gmail.com
👤 Author I
Contributions, issues and feature requests are welcome!
Feel free to check the issues page.
Give a ⭐️ if you like this project!
- Hat tip to anyone whose code was used
- Inspiration
- etc
This project is MIT licensed.
:¨·.·¨: :¨·.·¨: ·. ƮϦαɳk Ψөu .·