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Top 13 Python Package Management Projects
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$ sudo pip install y$ sudo pip install yaml WARNING: pip is being invoked by an old script wrapper. This will fail in a future version of pip. Please see https://github.com/pypa/pip/issues/5599 for advice on fixing the underlying issue. To avoid this problem you can invoke Python with '-m pip' instead of running pip directly. ERROR: Could not find a version that satisfies the requirement yaml (from versions: none) ERROR: No matching distribution found for yaml
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For small projects I recommend pip-tools. Just write packet list in requirements.in and pip-compile compile a requirements.txt with comments.
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conda
A system-level, binary package and environment manager running on all major operating systems and platforms.
Project mention: Why does creating my conda environment use so much memory? | /r/learnpython | 2023-06-18 -
Project mention: A question about good practice when using docker. | /r/dataengineering | 2023-05-26
You'd need a proper dependencies management tool like PDM or Poetry to exhaustively resolve and lock down all the transitive dependencies if you want to have anything closed to reproducible build.
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Just checkout ConanCenter https://conan.io/center it's free.
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Termux:Styling (version 0.30): Customize your Termux terminal
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Sonar
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This is incorrect. It also installs a set list of packages.
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publishing-python-packages
Examples and exercises for Publishing Python Packages from Manning Books 🐍 📦 ⬆️
Project mention: How to improve Python packaging, or why 14 tools are at least 12 too many | news.ycombinator.com | 2023-01-15I don't agree with all the points from the article, but I do agree there is a depth of learning to be had about creating packages (and doing it repeatably/scalably). I wrote a book about creating Python packages that just came out: https://pypackages.com
Even this book doesn't cover all options in each area, and it skips almost wholly over conda because I have no personal experience using it. conda and the work in the scientific community adds complexity both to the creation and the consumption side of packaging, and that's one area I'm not sure this post covers all the nuance of when considering how a "one size fits all" solution might work in practice.
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Python Package Management related posts
- Can't seem to install Python YAML support
- Rez package manager alternatives
- Why does creating my conda environment use so much memory?
- A question about good practice when using docker.
- Maintaining virtual environments
- Installing Anaconda on ChromeOS using Linux
- My Goldilocks Python Setup: pyenv, pipx, and pip-tools
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A note from our sponsor - InfluxDB
www.influxdata.com | 21 Sep 2023
Index
What are some of the best open-source Package Management projects in Python? This list will help you:
Project | Stars | |
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1 | pip | 8,939 |
2 | pip-tools | 7,080 |
3 | conda | 5,705 |
4 | PDM | 5,208 |
5 | rez | 834 |
6 | conan-center-index | 803 |
7 | termux-create-package | 356 |
8 | patchman | 294 |
9 | Curdling | 276 |
10 | electric | 232 |
11 | opi | 191 |
12 | publishing-python-packages | 62 |
13 | pacwatch | 24 |