DataCamp
datacamp.com › tutorial › python-uv
Python UV: The Ultimate Guide to the Fastest Python Package Manager | DataCamp
January 9, 2025 - Learn how to use UV, the fastest Python package manager in 2025. Discover 10x faster dependency management, virtual environments, and seamless migration from pip, Poetry, and Conda.
Is UV package manager taking over?
yes it is, it’s the best piece of python tooling to come out in the past five years. More on reddit.com
uv: Unified Python packaging
In addition to any explicit uv python invocations, uv can automatically download Python versions as needed (on uv run, uv venv, etc.), e.g., if you're yet to install Python on a machine, or are lacking a specific, requested Python version. drool More on reddit.com
Trying uv: The Future of Python Package Management
Python is strange. Every second year they come up with "now THIS is the real deal in regards to package management". More on reddit.com
Anyone used UV package manager in production
It's been a straight upgrade in every way over poetry for us. We held off until there was feature parity but once we did it's been incredible. In particular, it's enabled us to move some repos into a mono-repo and ensure all our packages stay compatible whilst still being individually installable. One thing to be aware of: The `project.name` field is mandatory in a `pyproject.toml` file as per the relevant PEP. In poetry they allow you to place this in the poetry section of the file instead. The reason this is an issue is that if you do a partial migration, it can become impossible to `uv add` git-based packages which haven't included the mandatory metadata due to poetry allowing it. It's an easy enough fix, but can lead to some issues if you don't have the ability to make PRs on these external dependencies/there's a lot of process involved in landing simple hotfixes. We only really ran into this issue with internal repos but one to be aware of. More on reddit.com
What is uv in Python?
uv is a high-performance Python package and project manager by Astral. It provides a unified interface for installing Python versions, managing dependencies, creating virtual environments, running scripts, and publishing packages.
pydevtools.com
pydevtools.com › handbook › reference › uv
uv: Python Package and Project Manager
Is uv better than pip?
uv is significantly faster than pip for dependency resolution and installation, often 10-100x faster. It also provides additional features like Python version management, virtual environment creation, and reproducible lockfiles that pip does not offer natively.
pydevtools.com
pydevtools.com › handbook › reference › uv
uv: Python Package and Project Manager
How fast is uv compared to pip?
uv resolves and installs dependencies 10-100x faster than pip due to aggressive caching, parallel downloads, and an optimized resolver. Cold installs that take minutes with pip often complete in seconds with uv.
pydevtools.com
pydevtools.com › handbook › reference › uv
uv: Python Package and Project Manager
Videos
14:45
uv: The Fastest Way to Install (and Use) Python - YouTube
13:35
UV- Python Package And Project Manager- Faster Than Pip - YouTube
12:15
UV: The Python Tool Everyone Is Switching To - YouTube
17:35
I’ve Switched to UV for Python, and So Should You - YouTube
17:59
Stop Using Pip - This New Tool is 100x Faster (UV Tutorial) - YouTube
Qmul
blog.hpc.qmul.ac.uk › uv-tutorial
Using uv for Python package management - QMUL ITS Research Blog
March 12, 2025 - $ ml use.own uv $ which uv ~/uv/uv $ uv --version uv <version> $ uv -h An extremely fast Python package manager.
YouTube
youtube.com › watch
Python Tutorial: UV - A Faster, All-in-One Package Manager to Replace Pip and Venv - YouTube
In this video, we'll be learning about UV, a new and fast Python package manager from Astral, the makers of Ruff. We'll see how UV aims to simplify your Pyth...
Published April 30, 2025
Astral
docs.astral.sh › uv › guides › install-python
Installing and managing Python | uv
July 17, 2025 - A guide to using uv to install Python, including requesting specific versions, automatic installation, viewing installed versions, and more.
Substack
flocode.substack.com › p › 044-python-environments-again-uv
#044 - Python Environments, Again | uv: A Guide to Python Package Management
October 8, 2024 - Uninstallation: Removes any packages that are installed in the environment but not listed in your requirements, keeping the environment clean and free from unnecessary bloat. You can check out a detailed list of uv commands here. This gives you a sense of what you can do. This is no-nonsense tutorial to get you up and running with Python, locally on your machine in a way that can start doing real engineering work via a Jupyter Notebook.
GitHub
github.com › astral-sh › uv
GitHub - astral-sh/uv: An extremely fast Python package and project manager, written in Rust. · GitHub
3 weeks ago - uv manages project dependencies and environments, with support for lockfiles, workspaces, and more, similar to rye or poetry: $ uv init example Initialized project `example` at `/home/user/example` $ cd example $ uv add ruff Creating virtual ...
Starred by 82.9K users
Forked by 2.9K users
Languages Rust 98.2% | Python 1.7% | Shell 0.1% | Mustache 0.0% | Batchfile 0.0% | Dockerfile 0.0%
AppSignal
blog.appsignal.com › 2025 › 09 › 24 › switching-from-pip-to-uv-in-python-a-comprehensive-guide.html
Switching from Pip to uv in Python: A Comprehensive Guide | AppSignal Blog
September 24, 2025 - # Create a virtual environment python -m venv .venv # Activate the environment source .venv/bin/activate # Install packages pip install django requests # Record dependencies pip freeze > requirements.txt · While this workflow is well-known and widely used, it involves multiple steps and tools, each with its own syntax and quirks. You must remember to activate environments, manage dependencies manually, and juggle a variety of commands. This is precisely the pain point uv aims to solve by streamlining the entire process into a faster and more cohesive experience.
Medium
medium.com › @prathik.codes › a-beginners-guide-to-uv-python-s-lightning-fast-package-manager-3077189df0c6
A Beginner’s Guide to uv: Python’s Lightning-Fast Package Manager | by Prathik C | Medium
December 20, 2025 - One of uv’s coolest features is built-in Python version management. You can see the available python installs: ... uv introduces a powerful sync command that ensures your environment matches your requirements exactly: # using pyproject.toml, uv will automatically create venv as well uv sync # or if you want to use requirements.txt uv pip sync requirements.txt · This will install packages listed in the file and remove any packages not listed, giving you a clean, reproducible environment.
Astral
docs.astral.sh › uv
uv
1 month ago - $ uv run example.py Reading inline script metadata from: example.py Installed 5 packages in 12ms <Response [200]> See the scripts guide to get started. uv executes and installs command-line tools provided by Python packages, similar to pipx.