awesome-pyproject
build
| awesome-pyproject | build | |
|---|---|---|
| 1 | 7 | |
| 904 | 661 | |
| - | 1.7% | |
| 5.4 | 9.1 | |
| 4 months ago | 10 days ago | |
| Python | ||
| Creative Commons Zero v1.0 Universal | MIT 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.
awesome-pyproject
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"Even with --dry-run pip will execute arbitrary code found in the package's setup.py. In fact, merely asking pip to download a package can execute arbitrary code"
most important projects support pyproject.toml: https://github.com/carlosperate/awesome-pyproject
build
- How can I download a software for my user automatically?
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Underappreciated Challenges with Python Packaging
If it's pure Python, the only packaging file you need is `pyproject.toml`. You can fill that file with packaging metadata per PEP 518 and PEP 621, including using modern build tooling like flit[1] for the build backend and build[2] for the frontend.
With that, you entire package build (for all distribution types) should be reducible to `python -m build`. Here's an example of a full project doing everything with just `pyproject.toml`[3] (FD: my project).
[1]: https://github.com/pypa/flit
[2]: https://github.com/pypa/build
[3]: https://github.com/pypa/pip-audit
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"Even with --dry-run pip will execute arbitrary code found in the package's setup.py. In fact, merely asking pip to download a package can execute arbitrary code"
RE the dislike of a "third-party tool", what do you mean by this? All the major tools for packaging in Python are under the PyPA, e.g. - twine - build - hatch
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'Python: Please stop screwing over Linux distros'
building wheels/sdists to upload or install: build
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An Interactive Cheat Sheet That Just Gives You The Answer
python3 setup.py sdist bdist_wheel - no need for an sdist when building wheels, also I'd recommend using pypa/build instead.
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How to Structure a Python AWS Serverless Project
The first step is to turn the internal package into a wheel (a *.whl file). We can use the build tool for this purpose. After installing build with pip we can run it as follows:
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The future of Python build systems and Gentoo
Shouldn't https://github.com/pypa/build help? I don't think it has enough features yet but I was under the impression that was the distro solution.
What are some alternatives?
pyunifiprotect - Unofficial UniFi Protect Python API and CLI
gh-action-pypi-publish - The blessed :octocat: GitHub Action, for publishing your :package: distribution files to PyPI: https://github.com/marketplace/actions/pypi-publish
installer - A low-level library for installing from a Python wheel distribution.
awesome-flake8-extensions - :octocat: A curated awesome list of flake8 extensions. Feel free to contribute! :mortar_board:
setuptools - Official project repository for the Setuptools build system
Python-for-SysAdmin - Python for Systems Administrator
open-source-mac-os-apps - 🚀 Awesome list of open source applications for macOS. https://t.me/s/opensourcemacosapps
pipx - Install and Run Python Applications in Isolated Environments
awesome-hackathon-projects - This is a curated list of amazing hackathon projects
serverless-project-example - Example Python project using AWS serverless stack