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Ranked on the record · 27 apps

Best Python Package Managers 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.

02

Pixi

Pixi suits developers working in robotics, data science, machine learning, and other software workflows that benefit from reproducible environments.

WindowsMacLinux
Record5.3 Visit
03

Hatch

Hatch may suit Python developers who want project setup and environment management alongside testing, analysis, and package publishing.

WindowsMacLinux
Record4.9 Visit
04

Mamba

Mamba suits developers and data practitioners managing conda environments across supported platforms.

WindowsMacLinux+2
Record4.9 Visit
05

pip

pip suits Python users who need to install packages from public indexes, repositories, or local sources.

WindowsMacLinux
Record4.9 Visit
6
pip-tools

It is for developers and system administrators who want to compile pinned pip requirements and synchronize virtual environments.

WindowsMacLinux Free plan Record4.9 Visit
7
Spack

Spack suits scientific computing teams and users who need to manage configurable software builds across systems or architectures.

WindowsMacLinux+1 Free plan Record4.9 Visit
8
Twine

Twine suits developers who need to upload built Python distributions to public or private package repositories.

WindowsMacLinux Free plan Record4.9 Visit
9
uv

uv suits Python developers who want dependency and environment management alongside Python version and command-line tool management.

WindowsMacLinux Free plan Record4.9 Visit
10
Astral

It suits Python developers looking for an open-source linter and package and project management tools across macOS, Linux, or Windows.

WindowsMacLinux Free plan Record4.8 Visit
11
conda-lock

conda-lock suits people managing conda environments who need reproducible installations across multiple target platforms.

WindowsMacLinux Free plan Record4.8 Visit
12
Miniconda

Miniconda suits command-line users who know which packages they need and want to build isolated project environments.

WindowsMacLinux Free plan Record4.8 Visit
13 WebWindowsMac+2 Free plan Record4.8 Visit
14
virtualenv

virtualenv suits Python developers who need separate environments for projects, interpreters, and dependencies.

WindowsMacLinux Free plan Record4.8 Visit
15
Nox

It suits Python developers and teams managing repeatable test sessions across interpreters and dependency sets.

WindowsMacLinux Free plan Record4.7 Visit
16 WindowsMacLinux+1 Free plan Record4.6 Visit
17 WindowsMacLinux Free plan Record4.6 Visit
18 WindowsMacLinux Free plan Record4.6 Visit
19 WindowsMacLinux Free plan Record4.6 Visit
20 WindowsMacLinux Free plan Record4.6 Visit
21 WindowsMacLinux Free plan Record4.6 Visit
22 WindowsMacLinux Free plan Record4.6 Visit
23
setuptools

It suits Python maintainers packaging libraries or applications for distribution and installation.

WindowsMacLinux Free plan Record4.6 Visit
24
tox

tox fits Python developers and teams managing repeatable test environments, package builds, and CI workflows.

WindowsMacLinux Free plan Record4.6 Visit
25 WindowsLinux Free plan Record4.4 Visit