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Quart Alternatives
Similar projects and alternatives to quart
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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quart-schema
Quart-Schema is a Quart extension that provides schema validation and auto-generated API documentation.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
quart reviews and mentions
- Python Flask has no remaining open issues or pull requests
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Question about Synchronous web frameworks
Sorry. It's not Quartz, it's just Quart https://pgjones.gitlab.io/quart/
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The problem with Flask async views and async globals
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.
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New Versions Released! Flask 2.0 with async
Flask getting async support is a huge step for the asyncio web ecosystem in Python. I wonder how Flask's ASGI support will evolve in parallel with Quart[1] which bills itself as the ASGI version of Flask and is maintained by a member of the Pallets team. One of the maintainers of Werkzeug even recommended using Quart[2]
[1] https://pgjones.gitlab.io/quart/
[2] https://github.com/pallets/werkzeug/issues/1322#issuecomment...
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New major versions of Flask, Jinja, Click, and Werkzeug released!
What we get with the async part of this release - If you would like to run an async library or your own async code from a flask route you can do that now. This is super useful, where let's say we have some async code that fetches data from many sources concurrently, or call multiple a few ML prediction endpoints at the same time (as long as they don't time out) using httpx and respond with some sort of outcome, or finally try that cool new async-only database library. A current (v2) limitation is that the you can't make concurrent requests using just the current asyncio implementation (an alternative with Flask API and ASGI: Quart). Typically in production gunicorn or uwsgi + threads/processes/gevent-eventlet is used and this makes Flask behave asynchronously. More here and here if interested.
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Create Asynchronous API in Python and Flask
For people looking to do async stuff with Flask, there is also Quart! Itβs essentially an async port of Flask, with all your favorite, familiar methods!
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asyncio: We Did It Wrong
I agree with the transition issues, Quart has this awkward code to try and get around this.
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Python developer survey reaction - 6 insights to make you a better dev
Appreciate the feedback! I forgot to pimp my favorite web framework, Quart, but I can attest to Flask and even Django being great. I always looked down on Django as too big but then I used it for my current company and I realized I was totally wrong. Easy to pick up, lots of functionality if you want it, but it doesn't force it on you.
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A note from our sponsor - InfluxDB
www.influxdata.com | 7 May 2024
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pgjones/quart is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of quart is Python.
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