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🚨 THIS IS ACTUALLY INSANE Python developers are still installing five different tools to manage one project. `pip` for packages. `virtualenv` for environments. `pyenv` for Python versions. `pipx` for CLI tools. `poetry` for project management. uv replaces all of them with one tool. And it’s written in Rust. The... headline number: 10–100× faster than pip. But speed isn't even the most interesting part. uv can: → Create and manage Python projects → Resolve dependencies with a universal lockfile → Create virtual environments → Install and switch between Python versions → Run standalone Python scripts with dependencies → Install CLI tools with `uvx` → Compile and sync requirements → Manage Cargo-style workspaces The workflow becomes ridiculously simple: `uv init` → create a project `uv add` → add dependencies `uv run` → run your code `uv lock` → lock dependencies `uv sync` → reproduce the environment And if you're already using pip? You don't have to throw your workflow away. The `uv pip` interface is designed as a drop-in replacement while giving you the speed boost. The other clever bit: uv uses a global cache to deduplicate dependencies and save disk space. So instead of assembling a Python toolchain piece by piece, you get one fast CLI that covers the whole workflow. And unlike a lot of newer developer tools, uv is already considered stable and production-ready. If you work with Python, this is one of those tools you should probably try once. You might not go back. #Python #DevTools #Rust #OpenSource #Programming #AIEngineeringshow more

Vikas gupta

11,354 subscribers

39,971 views • 12 days ago •via X (Twitter)

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23 Comments

Andy Smith12 days ago

Just use devenv by @cachix_org. Same for any language.

Sebastian Buzdugan11 days ago

till wins when custom python builds matter

Subhan Qureshi12 days ago

Very interesting concept. I especially like how this combines creativity with practical value. Definitely keeping an eye on this one. 👀🚀

Tanvir Hossain11 days ago

Helpful one

Vinay Bharambe12 days ago

Wow really amezing Share

David Marco11 days ago

Awesome

A S II F12 days ago

Wow, this sounds like a game-changer for Python devs! So much simpler. I'm curious to see how this stacks up.

AI Horizon11 days ago

Awesome

Crio Songo11 days ago

This really solves Python dependency mess, I'll go try it on my current project right away.

Zivlen Ai12 days ago

good share

Satendra Tiwari12 days ago

Great share

Sakhil Khan12 days ago

It makes managing python projects way easier

orc8r12 days ago

🤯 why to bother with that in 2026?!

Safwan12 days ago

Impressive share

Lyra Irish11 days ago

Great

Dylan Sutton Chavez12 days ago

uv resolves faster, sure, but it resolves differently than pip. that difference makes migration less straightforward for everyone.

Sultan U11 days ago

Did you just find out?

Jiwoong Lee11 days ago

Mending an already broken architecture while retaining compatibility is a remarkably difficult art.

Maxwell Orion12 days ago

Amazing share

Jims not Jim11 days ago

Uv is hardly new at this point

NAYAK11 days ago

great

Max12 days ago

Really liked the way you approached this. Simple, natural, and engaging.

Meenakshi Yadav12 days ago

One tool replacing so many pieces is a huge win for developers.

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14,212 views • 1 month ago

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158,896 views • 2 months ago

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Argona

51,369 views • 3 months ago

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Mitchell Hashimoto

204,281 views • 28 days ago

🚀 Visualize Geospatial Data Instantly from the Command Line! You can now interactively explore raster and vector datasets without opening a desktop GIS or Jupyter Notebook. Simply run: pip install "leafmap[viewer]" Then visualize your data with one line: view-raster /path/to/raster.tif view-vector /path/to/vector.geojson Customize your visualization easily: view-raster /path/to/raster.tif --band 1 --colormap coolwarm view-vector /path/to/vector.geojson --style liberty These CLI tools are powered by Leafmap, MapLibre, and LocalTileserver, supporting all geospatial formats compatible with rasterio and geopandas. 👉 Check it out: #geospatial #datascience #mapping #python

🚀 Visualize Geospatial Data Instantly from the Command Line! You can now interactively explore raster and vector datasets without opening a desktop GIS or Jupyter Notebook. Simply run: pip install "leafmap[viewer]" Then visualize your data with one line: view-raster /path/to/raster.tif view-vector /path/to/vector.geojson Customize your visualization easily: view-raster /path/to/raster.tif --band 1 --colormap coolwarm view-vector /path/to/vector.geojson --style liberty These CLI tools are powered by Leafmap, MapLibre, and LocalTileserver, supporting all geospatial formats compatible with rasterio and geopandas. 👉 Check it out: #geospatial #datascience #mapping #python

Qiusheng Wu

13,504 views • 1 year ago

🐍 Attention Python devs who have wrestled with dependency management! 🚨 Wolf Vollprecht, the creator of Mamba 🔥, is back with Pixi 📦✨, the package manager that will make you forget your package management woes. 😌 In this live demo (full Outerbounds fireside chat in comment), Wolf showcases Pixi's incredible features: 🌿 Effortlessly install packages globally with a single command 🎨 Enjoy a colorful and user-friendly experience when viewing Pixi toml files with bat 📝 Define and manage dependencies, tasks, and metadata with ease using Pixi TOML ⚡ Resolve multiple environments in parallel, saving you precious time 🔧 Seamlessly handle development and production environments using solve groups 🗣️ Harness the power of AI with Whisper CPP integration, including live transcription and multi-language support But the real magic happens when Wolf removes the Pixi lock file and runs pixi run start. 🪄 Over 10 environments are resolved in parallel, showcasing Pixi's incredible speed. 🚀 No more waiting for ages! 🕑 Wolf also dives into the upcoming Rattler Build, which will simplify building conda packages, making it more accessible for everyone. 🛠️🎉 Ready to bid farewell to your package management headaches? Give Pixi a try! 🌠 👉 Visit to download Pixi and explore the documentation 👩‍💻👨‍💻 Join the Pixi community on Discord to learn, collaborate, and get support #PixiPackageManager #PackageManagement #DataScience

🐍 Attention Python devs who have wrestled with dependency management! 🚨 Wolf Vollprecht, the creator of Mamba 🔥, is back with Pixi 📦✨, the package manager that will make you forget your package management woes. 😌 In this live demo (full Outerbounds fireside chat in comment), Wolf showcases Pixi's incredible features: 🌿 Effortlessly install packages globally with a single command 🎨 Enjoy a colorful and user-friendly experience when viewing Pixi toml files with bat 📝 Define and manage dependencies, tasks, and metadata with ease using Pixi TOML ⚡ Resolve multiple environments in parallel, saving you precious time 🔧 Seamlessly handle development and production environments using solve groups 🗣️ Harness the power of AI with Whisper CPP integration, including live transcription and multi-language support But the real magic happens when Wolf removes the Pixi lock file and runs pixi run start. 🪄 Over 10 environments are resolved in parallel, showcasing Pixi's incredible speed. 🚀 No more waiting for ages! 🕑 Wolf also dives into the upcoming Rattler Build, which will simplify building conda packages, making it more accessible for everyone. 🛠️🎉 Ready to bid farewell to your package management headaches? Give Pixi a try! 🌠 👉 Visit to download Pixi and explore the documentation 👩‍💻👨‍💻 Join the Pixi community on Discord to learn, collaborate, and get support #PixiPackageManager #PackageManagement #DataScience

Hugo Bowne-Anderson

14,192 views • 2 years ago

you installed it with whichever command needed the least typing that command had a scope, and the short one is the widest one user scope does not live in the project, it lives in you, and it loads in every repository you open for the rest of the year a repo you touched once in march is still being told about your database tools i counted mine: four servers, eight thousand nine hundred tokens, riding into projects that have no database and no browser you did not install a tool you set a default for every piece of work you have not started yet the shortest command in the docs and the longest reach

you installed it with whichever command needed the least typing that command had a scope, and the short one is the widest one user scope does not live in the project, it lives in you, and it loads in every repository you open for the rest of the year a repo you touched once in march is still being told about your database tools i counted mine: four servers, eight thousand nine hundred tokens, riding into projects that have no database and no browser you did not install a tool you set a default for every piece of work you have not started yet the shortest command in the docs and the longest reach

Lagosaur

21,006 views • 1 month ago