The problem with Flask async views and async globals

1. asgiref

   1 22 1,576 6.9 Python

   ASGI specification and utilities

   

   If you really love Flask and want to continue using it you can also use the asgiref package provides an easy wrapper called WsgiToAsgi that converts a WSGI application to an ASGI application.

2. InfluxDB

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   InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

   

3. uvicorn

   2 69 9,641 8.3 Python

   An ASGI web server, for Python. 🦄

   

   Something to keep in mind when developing an ASGI application is you need an ASGI-compatible server. Common choices include Uvicorn, Hypercorn, and Daphne. Another option is to use the Gunicorn with Uvicorn workers.

4. quart

   3 8 25 0.0 Python

   An async Python micro framework for building web applications. (by pgjones)

   

   If you're looking for an experience that's very similar to Flask you can use Quart which is inspired by Flask. Quart even has a guide about how to migrate from a Flask application to using Quart! Flask's own documentation for async views actually recommends using Quart in some cases due to the performance hit from using a new event loop per request.

5. fastapi

   4 562 88,998 9.7 Python

   FastAPI framework, high performance, easy to learn, fast to code, ready for production

   

   If you're looking to learn something new you can check out FastAPI which includes a bunch of builtin functionality for documenting APIs, strict model declarations, and data validation.

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