Tenacity
Retrying library for Python (by jd)
itsdangerous
Safely pass trusted data to untrusted environments and back. (by pallets)
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Tenacity | itsdangerous | |
---|---|---|
4 | 1 | |
3,892 | 2,464 | |
- | 0.6% | |
4.1 | 7.5 | |
26 days ago | 22 days ago | |
Python | Python | |
Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
Tenacity
Posts with mentions or reviews of Tenacity.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-15.
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How long does it take for you to get ready to develop a good Python library?
Hi all. After more then half a year study advanced python and SE principles I would like to develop a library of my liking. I’m aiming for a common decorators library. But after I saw the source code of tenacity (A retry pattern library). I was discouraged. It’s still very complicated to me for now. I can understand a lot of tenacity now. But to code it as beautiful as the auther is tough. Tenacity is not even a big library. My goal is to develop something bigger. I read Learning Python, know many standard library, then two books on SE. A design patterns book for python (broad not deep). And a clean code book (This one is pretty deep). Beyond that I know data structure and algo stuff. I thought I know python at an immediate level now. But seems source code is out of reach. Just wondering how long in python dev before you can develop something like tenacity.
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How do you manage retries?
Not sure why you have that impression. The majority of production code I've touched, from networking to distributed systems, implement retry logic. While many have in-house code, developed before retry libraries became available or working within environments unable to pull much external code, the majority of newer code I hear about uses [Tenacity](https://github.com/jd/tenacity).
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Best way to automatically restart python script after it breaks?
You're probably looking for something like this: https://github.com/jd/tenacity
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Help with Making Constant Requests on a Weak Network
Several retry libraries exist. For example, tenacity.
itsdangerous
Posts with mentions or reviews of itsdangerous.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-16.
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Flask 2.0 is coming, please help us test
This major release of Flask is accompanied by major releases of Werkzeug, Jinja2, click, and itsdangerous which we'd also welcome and appreciate testing (their pre releases are installed with the Flask pre release).
What are some alternatives?
When comparing Tenacity and itsdangerous you can also consider the following projects:
riprova - Versatile async-friendly library to retry failed operations with configurable backoff strategies
blinker - A fast Python in-process signal/event dispatching system.
transitions - A lightweight, object-oriented finite state machine implementation in Python with many extensions
attrs - Python Classes Without Boilerplate
Pychievements - The Python Achievements Framework!
cppimport - Import C++ files directly from Python!
magenta - Magenta: Music and Art Generation with Machine Intelligence
boltons - 🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
starlette - The little ASGI framework that shines. 🌟