pythonfix
Quart 0.19.6
A Python ASGI web microframework with the same API as Flask
A Python ASGI web microframework with the same API as Flask
Stars: 16, Watchers: 16, Forks: 3, Open Issues: 0The pgjones/quart repo was created 1 years ago and the last code push was 1 years ago. The project is not very popular with only 16 github stars!
How to Install quart
You can install quart using pip
pip install quart
or add it to a project with poetry
poetry add quart
Package Details
- Author
- pgjones
- License
- MIT
- Homepage
- https://github.com/pallets/quart/
- PyPi:
- https://pypi.org/project/Quart/
- Documentation:
- https://quart.palletsprojects.com
- GitHub Repo:
- https://github.com/pgjones/quart
Classifiers
- Internet/WWW/HTTP/Dynamic Content
- Software Development/Libraries/Python Modules
Related Packages
Errors
A list of common quart errors.
Code Examples
Here are some quart code examples and snippets.
Related Packages & Articles
blacksheep 2.0.7
Fast web framework for Python asyncio
mangum 0.17.0
AWS Lambda support for ASGI applications
Hypercorn 0.17.3
A ASGI Server based on Hyper libraries and inspired by Gunicorn
asgi-tools 0.76.0
ASGI Toolkit to build web applications
piccolo 1.14.0
A fast, user friendly ORM and query builder which supports asyncio.
strawberry-graphql 0.237.2
A library for creating GraphQL APIs
muffin 0.101.0
Muffin is a fast, simple and asyncronous web-framework for Python 3 (asyncio, trio, curio)
fastapi-azure-auth 4.4.0
Easy and secure implementation of Azure AD for your FastAPI APIs
aiohttp 3.9.5
The aiohttp Python package is an asynchronous HTTP client/server framework that leverages Python's asyncio library. It supports both client and server sides of the HTTP protocol, as well as client and server websockets. The package provides a web server with middleware support and pluggable routing. This makes it a powerful tool for building efficient, non-blocking web applications in Python. It is highly recommended for projects where concurrent network or HTTP requests are a core requirement, and it is often used in web scraping, API consumption, and web development.