python package manager windows

packaging.python.org › tutorials › installing-packages

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The accepted answer is outdated. So first, pip is preferred over easy_install, (Why use pip over easy_install?). Then follow these steps to install pip on Windows, it's quite easy.

Install setuptools:

curl https://bootstrap.pypa.io/ez_setup.py | python

Install pip:

curl https://bootstrap.pypa.io/get-pip.py | python

Optionally, you can add the path to your environment so that you can use pip anywhere. It's somewhere like C:\Python33\Scripts.

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Newer versions of Python for Windows come with the pip package manager. (source)

pip is already installed if you're using Python 2 >=2.7.9 or Python 3 >=3.4

Use pip to install packages from the Python Package Index.

cd C:\Python\Scripts\
pip.exe install <package-name>

In your case run:

pip.exe install mechanize

Python Packaging

Installing Packages — Python Packaging User Guide

On Windows you can find the user base binary directory by running py -m site --user-site and replacing site-packages with Scripts. For example, this could return C:\Users\Username\AppData\Roaming\Python36\site-packages so you would need to set your PATH to include C:\Users\Username\AppData...

Discussions

Is there a GUI Python package manager?

I strongly recommend becoming less adverse to the command line. It opens up so many possibilities! GUI tools are great and there is nothing wrong with using them—even almost exclusively—but understanding what’s under the hood, or at the very least not be “adverse” to it, is important. Put another way, you don’t need to know how to fix a car to drive one, or even how the engine works. But being adverse to opening the hood to add windshield washer fluid will be quite limiting! More on reddit.com

r/learnpython

27

5

February 18, 2025

Which 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

r/Python

10

3

November 24, 2021

Explain Python installation and management to a Windows admin

thats a slippery slope, I'd suggest keep it ephemeral - steering them to use git or if they want persistence and dont know what they want something like a docker instance of jupyter notebook or something more like anaconda notebook. But package management for python when it isnt defined will break you More on reddit.com

r/sysadmin

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11

March 31, 2025

What's the best package manager for python in your opinion?

uv and it isn't even close More on reddit.com

r/Python

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110

October 22, 2025

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python.org › downloads › release › pymanager-252

Python Release Python install manager 25.2 | Python.org

The Python install manager for Windows is our tool for installing and managing runtimes.

ActiveState

activestate.com › home › resources › quick read › python package installation on windows

Python Package Installation on Windows - ActiveState

January 24, 2024 - The Pip Package Manager is the de facto standard for managing Python distributions, and is recommended for installing Python packages for Windows.Pip is installed automatically with Python 2 (>=2.7.9) and Python 3 (>=3.4) installations.

python.org › downloads › release › pymanager-260

Python Release Python install manager 26.0 | Python.org

February 23, 2026 - The Python install manager for Windows is our tool for installing and managing runtimes.

reddit.com › r/learnpython › is there a gui python package manager?

r/learnpython on Reddit: Is there a GUI Python package manager?

February 18, 2025 -

Are there any GUI-based package managers for Python that allow installing libraries and applications without using the command line?

I'm looking for something like a "visual pip" that would make it easy for command-line adverse users to install and manage Python packages.

Does anything like this exist?

I strongly recommend becoming less adverse to the command line. It opens up so many possibilities! GUI tools are great and there is nothing wrong with using them—even almost exclusively—but understanding what’s under the hood, or at the very least not be “adverse” to it, is important. Put another way, you don’t need to know how to fix a car to drive one, or even how the engine works. But being adverse to opening the hood to add windshield washer fluid will be quite limiting!

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Developers will use whatever tools they have at their disposal, so I'm assuming you're talking about end users here. In which case my answer is; they shouldn't need to do that. When you're distributing your program to end users, the best thing you can do for them is to offer a painless way for them to use your program without needing all the technical know-how. On Windows that'd mean offering pre-built EXE-files or installers that take care of setting up everything the program needs to run. Or you can offer it as a web service, where appropriate. They shouldn't need to worry about installing dependencies except maybe if your project is a wrapper for another program, like FFMPEG, and needs that installed to work.

Jumping Rivers

jumpingrivers.com › blog posts › python package managers

An Introduction to Python Package Managers

July 22, 2025 - Conda can manage not only Python packages from PyPI but also non-Python libraries and binary packages. Furthermore, conda excels at handling dependencies and managing virtual environments (which will be discussed in a later blog). Conda can be installed in two ways by either installing Anaconda or Miniconda. We will only consider installing Miniconda in this blog. ... Download the Miniconda installer for Windows from docs.conda.io/en/latest/miniconda.html.

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Opensource.com

opensource.com › article › 19 › 4 › managing-python-packages

Managing Python packages the right way | Opensource.com

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.

Computer Action Team

cat.pdx.edu › home › platforms › windows › how to’s and faqs

Installing Python Packages under Windows – Computer Action Team

August 30, 2023 - Installing Python Packages under Windows To install Python packages ("eggs") from the Python language's package manager "pip," follow our instructions below. This can be done without Administrator access in a per-user, per-project clean manner with virtualenv.

Python Packaging

packaging.python.org › guides › tool-recommendations

Tool recommendations — Python Packaging User Guide

Installing pip/setuptools/wheel with Linux Package Managers · Installing scientific packages · Multi-version installs · Package index mirrors and caches · Hosting your own simple repository · Packaging and distributing projects · Including files in source distributions with MANIFEST.in · Single-sourcing the package version · Supporting multiple Python versions · Dropping support for older Python versions · Packaging binary extensions · Supporting Windows using Appveyor ·

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:

python 3.10 as of writing
pandas 1.3.4 (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 python from 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 EXCEPT scikit-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?

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.

Inedo

blog.inedo.com › python › managing-python-packages

Python Package Managers Explained

May 1, 2025 - Pipenv is a package management tool that “aims to bring the best of all packaging worlds” to Python. Pipenv is similar in spirit to Node.js’s npm and Ruby’s bundler. It’s popular among the Python community because it merges virtual environments and package management into a single tool.

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 - UV combines multiple Python tools into a single executable, serving as a replacement for pip, pip-tools and virtualenv. The tool automatically manages virtual environments, eliminating the need for manual creation and activation of environments. The package manager supports modern Python packaging standards, including pyproject.toml configuration files and automatic lockfile generation.

DEV Community

dev.to › adamghill › python-package-manager-comparison-1g98

Python Package Manager Comparison 📦 - DEV Community

November 15, 2023 - My first modern Python package manager. I would say the documentation is still the best available, although it might be too "designed" for some. It does a lot -- maybe too much? -- but, in my opinion, it pioneered a lot of features that are now expected in other Python package managers.

python.org › downloads › latest › pymanager

Python Release Python install manager 26.1 | Python.org

The Python install manager for Windows is our tool for installing and managing runtimes.

Microsoft Store

apps.microsoft.com › detail › 9nq7512cxl7t

Python Install Manager - Free download and install on Windows | Microsoft Store

February 23, 2026 - The Python install manager helps you to install, manage, and launch Python on Windows. After install, the "py" command is your tool of choice - try "py help" to see what it can do!

GitHub

github.com › python › pymanager

GitHub - python/pymanager: The Python Install Manager (for Windows) · GitHub

The Python Install Manager (for Windows). Contribute to python/pymanager development by creating an account on GitHub.

Starred by 259 users

Forked by 46 users

Languages Python 79.1% | C++ 20.9%

python.org › downloads › release › pymanager-250

Python Release Python install manager 25.0 | Python.org

The Python install manager for Windows is our tool for installing and managing runtimes.

KDnuggets

kdnuggets.com › top-7-python-package-managers

Top 7 Python Package Managers - KDnuggets

October 27, 2025 - Pixi is a cutting-edge package manager built in Rust by the Conda community to unify environment management across different programming languages. It is fully reproducible, cross-platform, and extremely fast, making it ideal for teams that manage mixed technology stacks. While Pixi is impressive, it hasn't gained as much popularity as uv. Similar to uv, Pixi offers quick and powerful management of Python dependencies, but it also provides cross-language support.

reddit.com › r/sysadmin › explain python installation and management to a windows admin

r/sysadmin on Reddit: Explain Python installation and management to a Windows admin

March 31, 2025 -

Hello!

Does anyone know a good resource that explains the architecture of Python from a packaging and maintenance perspective? I took a look at the official docs, and as far as I can tell, you have the runtime, then you have packages, modules and libraries. I'm not sure what each of these are, some might be the same thing? And where each of these gets installed and how it's configured. Any advice on how to manage this on Windows would be greatly appreciated.

Background

So, a thing just came up here where we built a bunch of non-persistent VDIs for a new set of users. Project went well, came in under budget and on time, users verified the solution and everyone was happy.

That was a month ago. Now they reached out going "We have to have Python! Why are the machines non-persistent! We are installing things and they disappear!". All of this was covered and highlighted multiple times during the project, they claimed they understood and chose non-persistent machines over personal persistent machines since, like most of us, they liked the idea of less work for them and us managing updates and not needing to install everything themselves.

Now, they are saying they need Python and the number 50-100 applications or libraries has been thrown around. No-one has provided a list or a very clear requirement yet. Mostly because this would require work on their part listing what they need so we know what to install.