Werkzeug
bjoern
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| Werkzeug | bjoern | |
|---|---|---|
| 11 | 1 | |
| 6,531 | 2,976 | |
| 0.3% | - | |
| 8.5 | 0.0 | |
| 8 days ago | 10 months ago | |
| Python | C | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Werkzeug
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Flask like web framework under 100 lines of code
The angle brackets on their own should be a sign that this is not the case, because that's not regular expression syntax. Flask uses werkzeug.routing instead. In fact, the module docs specifically call out the difference:
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Django or Flask and why?
Flask doesn’t support ASGI; neither does Werkzeug. The official guidance for running Flask with an ASGI server is to wrap it in middleware. The open GitHub issue for Werkzeug to support ASGI is #1322.
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PEP 661 -- Sentinel Values
Werkzeug, a core library used by Flask, has one as well (I used it as a model for mine).
Werkzeug (library used by Flask) had a repr for its sentinel long before getting type annotations.
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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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15x speedup for flask/werkzeug form multipart file upload with bytes.find() and bytes.rindex()
The PRs are this initial one and this update. Also note this issue - almost 5 years to close :o.
bjoern
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why python is used much more in DS instead of a more efficient language like Java or Rust?
So, the thing that's handling lower-level stuff is separate from the application server. So, you can pick a performant server, like Bjoern to host a WSGI application, like Django. Bjoern is 60% C. Just like Numpy and Tensorflow that I mentioned before.
What are some alternatives?
gunicorn - gunicorn 'Green Unicorn' is a WSGI HTTP Server for UNIX, fast clients and sleepy applications.
waitress - Waitress - A WSGI server for Python 3
uwsgi - Official uWSGI docs, examples, tutorials, tips and tricks
meinheld - Meinheld is a high performance asynchronous WSGI Web Server (based on picoev)
FrameworkBenchmarks - Source for the TechEmpower Framework Benchmarks project
Paste - Paste is in maintenance mode. Please consider other options.
flask - The Python micro framework for building web applications. [Moved to: https://github.com/pallets/flask]
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production