uv and it isn't even close Answer from spigotface on reddit.com
DEV Community
dev.to › adamghill › python-package-manager-comparison-1g98
Python Package Manager Comparison 📦 - DEV Community
November 15, 2023 - Also in 2020, PEP 621 and PEP 631 standardized pyproject.toml as the new normal for Python packages instead of setup.py. PEP 517 and PEP 660 created standards for Python build systems. Based on those PEPs, Poetry isn't the only forward-thinking package manager anymore.
Python Packaging
packaging.python.org › guides › tool-recommendations
Tool recommendations — Python Packaging User Guide
See Managing Application Dependencies for more details on using pipenv. When pipenv does not meet your use case, consider other tools like: ... Use pip to install Python packages from PyPI. 1 2 Depending on how pip is installed, you may need to also install wheel to get the benefit of wheel caching.
What's the best package manager for python in your opinion?
uv and it isn't even close More on reddit.com
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October 22, 2025Which package manager do you use?
Python 3.10 is very new and so not all libraries work with it yet. This isn’t a package manager difficulty, it’s a compatibility conflict between libraries and Python versions. This is why Conda is installing 3.9. Wait a bit and more libraries will support 3.10. I just use pip to install to venvs. Edit: Scikit-learn specifically is not 3.10 yet. More on reddit.com
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November 24, 2021Which Python package manager makes automation easiest in 2025?
Uv for sure. Fast, good defaults, etc. More on reddit.com
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September 26, 2025[deleted by user]
Strip them all for now, just for the purpose of understanding, and focus on these two: pip virtual environment Someone wrote some code, and the code does something cool, perhaps others might want to use it. If you want to use it, you use pip to download the code that the other person wrote. When you download code that someone wrote, and use it in a project, what happens when there is an update to the code? Your project might break because of the changes. For that, you create a virutal environment for your project, into which you download the code, so that each project has its own version of the dependency. All the others you mentioned are combinations, or alternatives of pip and venv. More on reddit.com
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January 31, 2025Videos
01:26:10
Every Python Package Manager Explained - YouTube
10:15
The Best Package Manager in Python - YouTube
27:02
Python Tutorial: UV - A Faster, All-in-One Package Manager to Replace ...
16:55
UV: The Fastest Python Package Manager | Astral’s Rust-Powered ...
04:13
Python Package Managers: pip, conda, and uv | Data Science Digest ...
40:34
uv: An Extremely Fast Python Package Manager - YouTube
Medium
medium.com › @digitalpower › comparing-the-best-python-project-managers-46061072bc3f
Comparing the best Python project managers | by Digital Power | Medium
October 22, 2024 - In the ever-changing world of Python, managing packages, environments and versions efficiently is important. Traditional tools like pip and conda have served us well, but as projects become more complex, so do our requirements. This guide looks at modern alternatives — Poetry, PDM, Hatch and ...
KDnuggets
kdnuggets.com › top-7-python-package-managers
Top 7 Python Package Managers - KDnuggets
October 27, 2025 - If you prefer to remain within the conda ecosystem, mamba is a strong alternative for data science workflows. Ultimately, the best Python package manager depends on your personal preferences, project needs, team conventions, reproducibility requirements, and the balance you seek between convenience ...
Reddit
reddit.com › r/python › what's the best package manager for python in your opinion?
r/Python on Reddit: What's the best package manager for python in your opinion?
October 22, 2025 -
Mine is personally uv because it's so fast and I like the way it formats everything as a package. But to be fair, I haven't really tried out any other package managers.
AlternativeTo
alternativeto.net › software › pip
pip Alternatives: Top 14 Package Managers & Similar Apps | AlternativeTo
May 17, 2025 - It's commands are intuitive and easy to use, with sensible defaults while still being configurable.14 Poetry alternatives ... Simple Python version management. ... pipx is a tool to help you install and run end-user applications written in Python. It's roughly similar to macOS's brew, JavaScript's npx, and Linux's apt. ... The open source, decentralized and multi-platform package manager to create and share all your native binaries.14 Conan alternatives
The New Stack
thenewstack.io › home › how to choose the best python package management tool
How To Choose the Best Python Package Management Tool - The New Stack
June 16, 2025 - Pip, UV and Poetry are three distinct Python package management solutions, each one tailored to different development needs.
Opensource.com
opensource.com › article › 19 › 4 › managing-python-packages
Managing Python packages the right way | Opensource.com
This is certainly not always the case when it comes to installing Python packages. However, there are some tools and methods that can be considered best practices. Knowing these can help you pick the right tool for the right situation. pip is the de facto package manager in the Python world.
Reddit
reddit.com › r/python › which package manager do you use?
r/Python on Reddit: Which package manager do you use?
November 24, 2021 -
there are 3 popular package managers for python modules being used the most frequently: conda pip apt(for debian-based linux).
I initially installed anaconda which gave me conda but together with a lot of extra package bloat I may never use.
So naturally I tried miniconda. It turns out there are caveats to this too:
conda-forge is touted as a robust channel but when i tried installing all my most used packages from the conda-forge channel here is what I got:
python3.10 as of writingpandas1.3.4 (latest)scikit-learn(latest)jupyterlab(no problem)matplotlib(CANNOT INSTALL. dependency conflict with python version on conda-forge)requests(CANNOT INSTALL. dependency conflict with python version on conda-forge)
I tried conda package manager with the defaults channel:
all the packages install but
pythonfrom defaults channel is 3.9.7. Everything works with this but no python==3.10.
When I made a separate virtual environment and tried installing via pip package manager only:
everything worked.
python--version is 3.10. every package installed to the latest version EXCEPTscikit-learnwhich is not installing for some reason.
And then there's apt which manages all other non-python packages on my linux and has a few python packages on ubuntu's repositories. But apt does not install packages in virtual environment and may not contain as many packages as pip or conda.
it appears conda with defaults channel is the most robust of all. I don't want to use multiple package managers as it is a hassle when updating and may lead to dependency hell. I want to know which package managers are being used the most considering they are hassle-free and easy to update and keep track of.
So what package manager do you use?
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Python 3.10 is very new and so not all libraries work with it yet. This isn’t a package manager difficulty, it’s a compatibility conflict between libraries and Python versions. This is why Conda is installing 3.9. Wait a bit and more libraries will support 3.10. I just use pip to install to venvs. Edit: Scikit-learn specifically is not 3.10 yet.
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For most app development, Pip is the right answer. Apt only really makes sense if you're either developing system software, or are in a position where you're targetting a fleet of machines all running the same OS, need (and have paid for) concrete guarantees about package support (for example if you need to continue to use an old version package or interpreter beyond upstream's EOL), and are willing to accept the compromises of using the limited (and sometimes dated) set of packages in the official repos (and even then, dh-virtualenv can be a viable alternative). I've mostly seen Conda used in situations where you're not delivering a finished app, so much as an environment for exploring data. Although TBH, I've never found myself with problems that Conda seemed like it would solve, so others might have a more favourable view of Conda.
Medium
medium.com › @shugaoye › a-comparison-of-python-environment-and-package-management-tools-c34cd13514c1
A Comparison of Python Environment and Package Management Tools | by Roger Ye | Medium
July 20, 2025 - Purpose: Environment management and package management (Python + non-Python dependencies). ... Cross-language support (e.g., R, C libraries). Pre-compiled binaries for scientific/data science stacks (NumPy, SciPy, TensorFlow). Robust dependency resolution for complex environments. ... Larger disk footprint. Slower than lightweight alternatives...
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No revisions or rollbacks: pip is not a package manager, it won't handle revisions or rollbacks https://github.com/pypa/pip/issues/3867 | Not a python Package manager | pip is not a package manager, it won't handle revisions or rollbacks https://github.com/pypa/pip/issues/3867
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Installs huge collection of default unneeded libraries | Too complex for a simple Python project: Because conda is designed for projects with multiple languages and environments for scientific computing, it's overkill for regular Python projects. | Not standard and outdated | Allows for multiple environments: It is great for developers since you can easily switch between complete environments with different versions of packages, for testing and development. | No Python needed beforehand (bootstrapping): Conda can be installed using a shell script that should work on most systems with minimal initial dependencies. | Binary installs: They are fast and reliable as they do not need to compile before installation. | Open source: Conda is open source and on Github, so if you see something wrong you can fix it and submit a patch. | Doesn't have everything: Conda is relatively new and has a smaller user-base, so the set of packages available is limited. | I use miniconda, and will never use anaconda.
Chadsmith
chadsmith.dev › python-packaging
The Big List of Python Packaging and Distribution Tools
Interactive web app to explore tools of the Python ecosystem
Inedo
blog.inedo.com › python › managing-python-packages
Python Package Managers Explained
May 1, 2025 - However, if you’re working on anything more than a personal project you will likely need to create virtual environments. For that, Pipenv and Poetry are more convenient options than using pip and Virtualenv together. Alternatively, Conda can ...
ActiveState
activestate.com › home › blog › which python dependency manager should i choose?
Which Python Dependency Manager Should I Choose? - ActiveState
November 5, 2021 - The ActiveState Platform is a universal package and environment management tool for Python, Perl and Tcl that prioritizes security. Like Anaconda, the ActiveState Platform comes with its own Python ecosystem, offering an alternative to traditional ...
PyDevTools
pydevtools.com › handbook › explanation › which-python-package-manager-should-i-use
Which Python package manager should I use?
1 week ago - Use uv. It handles dependency management, virtual environments, Python version management, and package building in a single tool. It follows Python packaging standards, generates cross-platform lockfiles, and resolves dependencies faster than ...
DataCamp
datacamp.com › tutorial › python-uv
Python UV: The Ultimate Guide to the Fastest Python Package Manager | DataCamp
January 9, 2025 - While PIP and virtualenv remain viable options, UV's modern architecture and combined functionality make it an attractive alternative for developers seeking better performance and a more streamlined workflow. The ability to drop UV into existing projects without disrupting established processes ...
Carnegie Mellon University Libraries
guides.library.cmu.edu › anaconda_alternatives
Home - Anaconda (package manager) alternatives - CMU LibGuides at Carnegie Mellon University
July 25, 2025 - A newer cross-platform package manager that claims to be faster than Conda. ... A simple and efficient python dependency and package manager.
Quora
quora.com › What-are-some-alternatives-to-Pythons-pip
What are some alternatives to Python's pip? - Quora
Is there any alternate way to install Python packages? ... Conda is the most popular alternative. ... Homebrew installs the stuff you need that Apple didn’t. Yarn caches every package it downloads so it never needs to again.
Reddit
reddit.com › r/python › which python package manager makes automation easiest in 2025?
r/Python on Reddit: Which Python package manager makes automation easiest in 2025?
September 26, 2025 -
Trying to make your Python automation smooth and hassle-free? Which package manager do you actually reach for:
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pip – simple and classic
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pipenv – keeps it tidy
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poetry – fancy and powerful
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conda – big on data science
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Other – drop your fav in the comments!
Curious to see what everyone else uses—share your pick and why!
Note: I know automation doesn’t strictly depend on the package manager, but I want to know which one makes it easier to manage virtual environments, lock files, and dependencies—especially when taking a project live in production.
Libhunt
python.libhunt.com › pip-alternatives
pip Alternatives - Python Package Management | LibHunt
February 7, 2026 - :package: :fire: Python project management. Manage packages: convert between formats, lock, install, resolve, isolate, test, build graph, show outdated, audit. Manage venvs, build package, bump version. ... * Code Quality Rankings and insights are calculated and provided by Lumnify. They vary from L1 to L5 with "L5" being the highest. Do you think we are missing an alternative of pip or a related project?