It suits organizations that need to manage runtime projects and permissions across teams.
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Best Python Package Managers 2026
Facts read 30 Sep 2026 – 11 Oct 2026
Choosing a Python package manager means weighing how you handle dependencies and environments across projects. Compared on dependency groups, environment management, and lockfile support, the entries also let you consider package publishing and private registry support. Supported platforms can help you check compatibility with your setup, while free-plan availability and paid-from pricing add cost context. ActiveState Platform, Anaconda Notebooks, and Hatch are among the names to consider alongside pip-tools and Pixi. Think about whether your work calls for organized dependency groups, a reproducible lockfile, or package distribution, then compare those needs with the listed features and platforms.
The standings: top 10
| Name | In a line | Record score | Price from | Try it free | Runs on | Facts read |
|---|---|---|---|---|---|---|
| 01 ActiveState Platform | It suits organizations that need to manage runtime projects and permissions across teams. | 5.2 | Free plan | Free plan | Web, Windows, Mac, Linux | 30 Sep 2026 |
| 02 Pixi | Pixi suits developers working in robotics, data science, machine learning, and other software workflows that benefit from reproducible environments. | 5.2 | €42 a month, billed yearly | Free plan | Windows, Mac, Linux | 30 Sep 2026 |
| 03 Hatch | Hatch may suit Python developers who want project setup and environment management alongside testing, analysis, and package publishing. | 4.8 | Free plan | Free plan | Windows, Mac, Linux | 4 Oct 2026 |
| 04 Mamba | Mamba suits developers and data practitioners managing conda environments across supported platforms. | 4.8 | Free plan | Free plan | Windows, Mac, Linux, API | 11 Oct 2026 |
| 05 pip | pip suits Python users who need to install packages from public indexes, repositories, or local sources. | 4.8 | Free plan | Free plan | Windows, Mac, Linux | 5 Oct 2026 |
| 06 pip-tools | It is for developers and system administrators who want to compile pinned pip requirements and synchronize virtual environments. | 4.8 | Free plan | Free plan | Windows, Mac, Linux | 1 Oct 2026 |
| 07 Spack | Spack suits scientific computing teams and users who need to manage configurable software builds across systems or architectures. | 4.8 | Free plan | Free plan | Windows, Mac, Linux, Self-hosted | 8 Oct 2026 |
| 08 Twine | Twine suits developers who need to upload built Python distributions to public or private package repositories. | 4.8 | Free plan | Free plan | Windows, Mac, Linux | 8 Oct 2026 |
| 09 uv | uv suits Python developers who want dependency and environment management alongside Python version and command-line tool management. | 4.8 | Free plan | Free plan | Windows, Mac, Linux | 30 Sep 2026 |
| 10 Astral | It suits Python developers looking for an open-source linter and package and project management tools across macOS, Linux, or Windows. | 4.7 | Free plan | Free plan | Windows, Mac, Linux | 1 Oct 2026 |
02
Pixi
Pixi suits developers working in robotics, data science, machine learning, and other software workflows that benefit from reproducible environments.
WindowsMacLinux Record5.2 Visit
03
Hatch
Hatch may suit Python developers who want project setup and environment management alongside testing, analysis, and package publishing.
WindowsMacLinux Record4.8 Visit
04
Mamba
Mamba suits developers and data practitioners managing conda environments across supported platforms.
WindowsMacLinux+2 Record4.8 Visit
05
pip
pip suits Python users who need to install packages from public indexes, repositories, or local sources.
WindowsMacLinux Record4.8 Visit
6
pip-tools
WindowsMacLinux Free plan Record4.8 Visit It is for developers and system administrators who want to compile pinned pip requirements and synchronize virtual environments.
7
Spack
WindowsMacLinux+1 Free plan Record4.8 Visit Spack suits scientific computing teams and users who need to manage configurable software builds across systems or architectures.
8
Twine
WindowsMacLinux Free plan Record4.8 Visit Twine suits developers who need to upload built Python distributions to public or private package repositories.
9
uv
WindowsMacLinux Free plan Record4.8 Visit uv suits Python developers who want dependency and environment management alongside Python version and command-line tool management.
10
Astral
WindowsMacLinux Free plan Record4.7 Visit It suits Python developers looking for an open-source linter and package and project management tools across macOS, Linux, or Windows.
11
conda-lock
WindowsMacLinux Free plan Record4.7 Visit conda-lock suits people managing conda environments who need reproducible installations across multiple target platforms.
12
Miniconda
WindowsMacLinux Free plan Record4.7 Visit Miniconda suits command-line users who know which packages they need and want to build isolated project environments.
14
virtualenv
WindowsMacLinux Free plan Record4.7 Visit virtualenv suits Python developers who need separate environments for projects, interpreters, and dependencies.
19
Nox
WindowsMacLinux Free plan Record4.6 Visit It suits Python developers and teams managing repeatable test sessions across interpreters and dependency sets.
23
setuptools
WindowsMacLinux Free plan Record4.5 Visit It suits Python maintainers packaging libraries or applications for distribution and installation.
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