#NameDownloadsVersionReleaseLast CommitI/PStars packaging 1,774,380,229/mo 26.224 days ago2026-04-24T20:15:22Z3 days ago2026-05-15T03:29:15Z76/23 728 ★ cibuildwheel 664,556/mo 3.4.11 month ago2026-04-02T13:58:59Z49 minutes ago2026-05-18T23:47:31Z80/11 2,235 ★ build 145,477,982/mo 1.5.018 days ago2026-04-30T03:18:23Z5 hours ago2026-05-18T19:24:47Z9/3 846 ★ pipx 6,177,361/mo 1.12.012 days ago2026-05-06T17:54:11Z12 days ago2026-05-06T17:53:10Z101/7 12,794 ★ dependency-groups 6,131,074/mo 1.3.11 year ago2025-05-02T00:34:27Z2 months ago2026-03-01T23:59:52Z3/1 14 ★ pyproject-metadata 14,812,607/mo 0.11.03 months ago2026-02-09T19:12:49Z3 months ago2026-02-09T19:04:10Z8/5 45 ★ scikit-build-core 10,500,235/mo 0.12.22 months ago2026-03-05T18:25:56Z12 days ago2026-05-06T04:07:15Z137/27 468 ★ scikit-build 1,356,743/mo 0.19.02 months ago2026-03-03T16:20:14Z14 days ago2026-05-04T19:59:09Z166/21 533 ★ cmake (on PyPI) 17,683,357/mo 4.3.225 days ago2026-04-23T21:50:16Z25 days ago2026-04-23T19:02:11Z23/3 133 ★ ninja (on PyPI) 31,523,944/mo 1.13.09 months ago2025-08-11T15:09:50Z19 days ago2026-04-29T05:29:55Z7/2 87 ★ moderncmakedomain 21,874/mo 3.29.01 year ago2024-05-22T04:14:55Z1 month ago2026-04-12T21:40:27Z3/3 32 ★ nox 5,439,195/mo 2026.4.101 month ago2026-04-10T17:42:40Z21 days ago2026-04-27T04:51:45Z69/7 1,522 ★ validate-pyproject 239,632/mo 0.253 months ago2026-02-02T17:31:05Z14 days ago2026-05-04T16:55:44Z8/4 206 ★ validate-pyproject-schema-store 57,612/mo 2026.5.1812 hours ago2026-05-18T11:55:57Z12 hours ago2026-05-18T11:55:06Z4/1 6 ★ pybind11 26,459,991/mo 3.0.429 days ago2026-04-19T03:08:14Z6 hours ago2026-05-18T18:31:19Z632/100 17,863 ★ pybind/python_example1 month ago2026-03-24T21:08:55Z17/1 531 ★ pybind/scikit_build_example1 month ago2026-04-12T06:00:52Z9/3 145 ★ meson-python 15,679,538/mo 0.19.04 months ago2026-01-15T13:52:43Z2 months ago2026-03-02T21:27:42Z45/15 179 ★ boost-histogram 1,465,388/mo 1.7.21 month ago2026-04-11T02:18:34Z5 days ago2026-05-13T17:57:40Z29/7 16
GitHub - pypa/pipx: Install and Run Python Applications in Isolated Environments
github.comInstall and Run Python Applications in Isolated Environments - pypa/pipx
I make Python packages for everything. Big projects obviously get a package, but so does every tiny analysis. Spinning up a quick jupyter notebook to check something out? Build a package first. Oh yeah, and every package gets its own virtual environment. Let’s back up a little bit so that I can tell you why I do this. After that, I’ll show you how I do this. Notably, my workflow is set up to make it simple to stay consistent.
I made a new tool for building AWS Lambda deployment packages
pex avoids certain shortcomings of pip and is faster than Docker
Build AWS Lambda deployment packages (zip files) for Python projects
Assistant Clinical Professor (University of Chicago)
Manage entire Python projects and even Python itself with a single unified tool.
Huge new release from the Astral team today. uv 0.3.0 adds a bewildering array of new features, as part of their attempt to build "Cargo, for Python". It's going to …
This guide is maintained by the scientific Python community for the benefit of fellow scientists and research software engineers.
Astral is taking stewardship of python-build-standalone, Gregory Szorc's foundational project for installing portable Python distributions.
Taking back control of your python development tools.
Create isolated project setups on all platforms, and gain a deep understanding of Python's virtual environments created with the venv module.
A long-standing practical problem for Python users has been conflicts between OS package managers and Python-specific package management tools like pip. These conflicts include both Python-level API incompatibilities and conflicts over file ownership.
An easy way to start Arduino for Emacs users
We'll cover command line tools, language runtime management, git, text editors and more.
pex avoids certain shortcomings of pip and is faster than Docker
I made a new tool for building AWS Lambda deployment packages
Pelican currently runs best on Python>=3.11; earlier versions of Python are not supported. Once Pelican is installed, you can run pelican --help to see basic usage options. For more detail, refe...
Most devs don't need a complicated setup for Python, they just need to get running. Leverage a single Docker command to run any version in isolation.
60+ interactive exercises to test your Linux CLI text processing skills
Practice Python regular expressions interactively, includes both re and regex modules
Interactive exercises to test your Linux CLI text processing skills for the GNU grep, sed and awk commands.
Interactive TUI app that gives a brief tour of the GNU awk command.
Interactive TUI app with exercises and multiple-choice questions for beginner to intermediate level Python learners
Connect Four TUI app in Python using textual.
Manage entire Python projects and even Python itself with a single unified tool.
An overview of uv, the fast package manager
Simplified and community-driven man pages
Using UV to manage dependencies of your Django application.
The catch in the Rye.
Sometimes calling a subprocess is better than using a dependency/package. At least in Python, once you add a third-party dependency, distribution becomes slightly harder. I like writing automation scripts in a single .py file. If that script doesn’t use any third-party dependencies, distributing it is as easy as copying the file to the machine. Otherwise you need to package your project, deal with virtual environments, PyPi, pipx, etc. I don’t think all of those tasks are hard, but rsync‘ing a file is easier.