setuptools
click
setuptools | click | |
---|---|---|
21 | 32 | |
2,339 | 15,108 | |
2.1% | 1.2% | |
9.9 | 8.0 | |
about 19 hours ago | 2 days ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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.
setuptools
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My User Experience Porting Off Setup.py
To be fair, that seems to have been a 2 year warning:
https://github.com/pypa/setuptools/commit/3544de73b3662a27fa...
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Python 3.12.0 from a supply chain security perspective
There was/is some discussion in setuptools about how to normalize the tarball (https://github.com/pypa/setuptools/issues/2133#issuecomment-...) coudl something similar be applied to Building Python itself ?
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ERROR after python3.11 update
❯ yay -Sy python-setuptools python-jaraco.text ❯ pip show setuptools Name: setuptools Version: 67.7.0 Summary: Easily download, build, install, upgrade, and uninstall Python packages Home-page: https://github.com/pypa/setuptools Author: Python Packaging Authority Author-email: [email protected] License: Location: /usr/lib/python3.11/site-packages Requires: jaraco.text, more-itertools, ordered-set, packaging, platformdirs, tomli, validate-pyproject Required-by: Cerberus, fs, httpie, input-remapper, pecan, pycountry, python-lsp-server, reuse, setuptools-scm, zc.lockfile
- InvalidVersion Exception on Setuptools 66
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PIP fails to install correctly in Ubuntu 20.04.Need help.
Link: https://github.com/pypa/setuptools/issues/3772
- If there’s gonna be a Python 4.0 one day, what’s a breaking change you’d like to see? Let’s explore the ideas you have that can make Python even better!
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So how do you actually deploy code/scripts?
For example, when it comes to Python, one option is to use the same packaging system that a huge number of open-source libraries and tools are published with. You can use setuptools or Hatch to build a "packaged" version of your code, and publish it to either the public PyPi repository or an internal one that you set up. Then your users can use pip to install your package, automatically fetch its dependencies, and keep it up to date, just like any other Python module.
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What’s the most convenient way for a non-programmer to run a Python code?
You could maybe make it a click Application, and use setuptools.
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turbo encabulator compliant
Not sure how advisable it is to depend on setup.py given the setuptools team has very clearly stated that they are not interested in supporting any cli commands anymore including setup.py install. Relavant PR
- [BUG] There was an error checking the latest version of pip · Issue #3333 · pypa/setuptools
click
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click-web: Serve click scripts over the web (Python)
Context: "click" - "Command Line Interface Creation Kit" - easily create CLIs from Python code, via adding decorators: https://github.com/pallets/click
"click-web" in turn turns the click CLI app into a web app with one line of code.
- Anyone want to start a project with me.
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How does "python3 *file* -*letter* work?
there is also click, it is more straight forward and also nice to keep the relevant code where the code is. https://github.com/pallets/click/
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Overhead of Python Asyncio Tasks
I don't have huge experience with Python, but I used async code with C#/Typescript and lately I had to use some asyncio magic.
I found this article: https://blog.dalibo.com/2022/09/12/monitoring-python-subproc... and while async/await syntax is the same, it's not entirely clear for me, why there's some event loop and what exactly happens, when I pass function to asyncio.run(), like here: https://github.com/pallets/click/issues/85#issuecomment-5034...
So, you can use it and it's not that hard, but there are some parts that are vague for me, no matter which language implements async support.
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I am sick of writing argparse boilerplate code, so I made "duckargs" to do it for me
Hmm… did you try such approaches, as [click](https://github.com/pallets/click) or[tap](https://github.com/swansonk14/typed-argument-parser)?
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lord-of-the-clips (lotc): CLI app to download, trim/clip, and merge videos. Supports lots of sites. Downloads/trims at multiple points. Merges multiple clips.
This app leverages these powerful libraries: - yt-dlp: video downloader - moviepy: video trimmer/merger - click: CLI app creator - rich / rich-click: CLI app styler
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Shells Are Two Things
I've used click [1] a lot to build Python tooling scripts the past few years. Click usage is "sort of" similar to the author's proposed solution. There's also a small section here [2] that describes some of the issues covered in the article (in context of argparse).
[1] - https://github.com/pallets/click
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Tomu – A family of devices which fit inside your USB port
I think the success of Arduino in the hardware world can be explained in a similar way, as the relative success of "command line app frameworks" like Click[1], or even much lighter-weight libraries like argparse[2]. You absolutely can get away with using just getopt[3] (and people experienced with it will likely strongly prefer it). However certain factors such as a more declarative API, a nice logo, the existence of an ecosystem (even if you're not actively drawing from it), an official "branded" forum, etc can all play into picking a more complex solution, with more baggage you don't need, certain oddities that may throw users off, etc.
[1]: https://click.palletsprojects.com/
[2]: https://docs.python.org/3/library/argparse.html
[3]: https://man.openbsd.org/getopt.3, https://linux.die.net/man/3/getopt
- something like python's click library?
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Advice for a final project in python without web?
Exactly! You can also use a library like click (https://github.com/pallets/click) to help take care of the command line side, while you focus on the 'business logic' of your application :)
What are some alternatives?
hatch - Modern, extensible Python project management
typer - Typer, build great CLIs. Easy to code. Based on Python type hints.
Python-docker - Docker Official Image packaging for Python
Python Fire - Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
bottlerocket - An operating system designed for hosting containers
python-prompt-toolkit - Library for building powerful interactive command line applications in Python
python-adblock - Brave's adblock library in Python
cement - Application Framework for Python
htop - htop - an interactive process viewer
cliff - Command Line Interface Formulation Framework. Mirror of code maintained at opendev.org.
build - A simple, correct Python build frontend
docopt - Create *beautiful* command-line interfaces with Python