π Say Goodbye to pip Wait Times β Meet uv, the Flash of Python Package Managers β‘π
Tired of waiting for pip install to finish like itβs downloading a 90s dial-up mixtape?
Frustrated with dependency hell where one package wants Django 4.0 and the other insists on Django 2.2?
Well, hold on to your virtualenvs, folks β because uv is here, and itβs built like a Pythonic Tesla πβ‘
π¦ What is uv?
uv is the cool, fast, and intelligent cousin of pip, venv, pip-tools, and poetry.
But instead of showing up late and arguing about package versions, uv shows up early, solves your problems, and does it all in record time.
It took me less than a minute to build all dependencies.
It can be d'loaded via Powershell, see below.
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
π― Benefits of uv
π§ One tool to rule them all
Who needs 3 different tools (pip, venv, pip-tools) when you can forget them like you forgot your high school French?
Just use uv β it does it all. No bonjour, just blazing fast installs.
β‘ Speed that makes pip cry
Seriously. uv is written in Rust and runs so fast it makes pip look like itβs powered by hamsters on a wheel.
π¦ Smarter dependency resolution
No more:
"ERROR: Cannot install X and Y because of Z. You're on your own, buddy."
uv handles it like a pro. It doesnβt just solve dependencies; it negotiates peace treaties between them.
π Built-in virtual environments
Forget running python -m venv .venv && source .venv/bin/activate like itβs a sacred ritual.
With uv, you do:
uv venv
Once you install UV , just exit the terminal and open it again , then you would need to run below command to install the local dependencies
uv sync
It will install below dependencies , it consist of most AI related tools because this sync reads from pyproject.toml file and do the magic for you.
Installed tools
Boom. Virtual environment. Activated. No goat sacrifices required.
π Lock files that actually lock things
With uv, the uv.lock file is rock solid. No more βit worked on my machineβ excuses. Unless your machine is from 2003.
π οΈ Example Workflow (a.k.a. less pain, more Python):
uv venv # Create a virtual environment
uv pip install fastapi # Install dependencies
uv pip freeze # Freeze them (without freezing your soul)
uv pip sync # Sync like a boss
All this at warp speed, without cluttered logs or broken hearts π
π€ But do I still need to install Python?
Well, yes. Kind of. uv ships with its own embedded Python, but if you want to do Python-y things like running python my_script.py, you should still install Python globally.
(Think of it like a food truck that brings its own oven β it can cook stuff, but itβs not your kitchen.)
TL;DR:
Use uv if you like:
Speed π
Sanity π§
One tool instead of 17 π§
Actually working environments without crying π’
Go ahead. Try uv. Your future self (and your CI pipeline) will thank you.
Because lifeβs too short for slow installs and broken dependency trees.
Top comments (0)