Python has too many package managers
https://dublog.net/blog/so-many-python-package-managers/
@DevMisc
#python #pip #extra
- Python has a fragmented package and environment management ecosystem, with over a dozen different tools, each with their own strengths and weaknesses.
- The lack of a standardized, efficient, and user-friendly package manager in Python has been an "inexcusable pain-in-the-ass" for many years.
- Other programming languages like Rust, C#, and JavaScript have developed more cohesive and widely-loved package management solutions like Cargo, NuGet, and npm.
- Python's legacy package manager pip has historically had poor dependency resolution, only recently adding backtracking capabilities. It also lacks environment management features.
- The proliferation of various configuration files like requirements.txt, setup.py, Pipfile, environment.yml etc. has led to a lot of redundancy and lack of standardization in Python package management.
- The introduction of PEP 621 in 2020 aimed to consolidate dependencies and configuration into a single pyproject.toml file, leading to the emergence of new tools like Poetry, PDM, Flit, and Hatch.
- Poetry is currently the closest Python tool to the Cargo experience, but it suffers from slow dependency resolution, especially for large projects.
- Conda is a popular choice for data scientists and experimentalists as it can manage non-Python dependencies, but it lacks some features like lock files and can be cumbersome for production use.
- The Rust community's influence is evident in promising new Python package management tools like uv, which aims to be a fast, Cargo-like drop-in replacement for pip.
- The Python community still lacks a cohesive, standardized, and widely-adopted package management solution, but tools like uv hold promise for the future.
https://dublog.net/blog/so-many-python-package-managers/
@DevMisc
#python #pip #extra
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