generator-pyhipster

Python (Flask) + Angular/React/Vue in one handy generator

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vue react angular webpack yeoman-generator twitter bootstrap docker jdl flask python 3 sqlalchemy

Install
`npm install generator-pyhipster`
Latest Version:	0.0.9 (Sep 13, 2023)
License:	Apache-2.0
Last Updated:	Apr 6, 2024
Links:	GitHub · npm

Maintainer: sudeephazra

PyHipster

Greetings, Python Hipsters!

PyHipster is a full-stack Python Flask web application generator.

PyHipster is an adaptation of JHipster for Python. A big thanks to Julien Dubois and the entire JHipster team for this wonderful tool. The current version of PyHipster is forked from JHipster 7.8.1.

The current version of the tool is available as an alpha release and not suitable for production deployment.

Features

Python 3 Flask backend
Angular/React/Vue frontend
JWT, HTTP Session Support
SQL Database Support (MySQL, MariaDB, PostgreSQL, SQL Server, Oracle, CockroachDB, SQLite)
CRUD operations for user defined data model
Caching
Multilingual (in progress)
Email integration
User Management
Swagger Documentation

Technology Stack

Frontend

Single Web page application:

Angular or React or Vue
Responsive Web Design with Twitter Bootstrap
HTML5 Boilerplate
Compatible with modern browsers (Chrome, FireFox, Microsoft Edge)
Full internationalization support (in progress)
Optional Sass support for CSS design

With the great development workflow:

Installation of new JavaScript libraries with NPM
Build, optimization and live reload with Webpack

Backend

Project dependency management using Poetry
Micro web-development framework Flask 2.2
REST API support using flask-restx with Swagger Documentation
Database integration using Flask-SQLAlchemy 3
Server side caching using Flask-Caching
(De-)Serialization support through Marshmallow, Flask-Marshmallow, and marshmallow-sqlalchemy
JWT authentication Flask-JWT-Extended, and HTTP Session Authentication Flask-Login
Email support using Flask-Mail
Integrated development database browser using SQLite_Web
Tests using PyTest
Code Quality Scan using Ruff
Code formatting using Black
Vulnerability Analysis using Bandit

Limitations

For the current version the tool has certain limitations

Only monolith support

For more information, please continue your journey with the getting started guide

PyHipster is proud to be supported by JetBrains