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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 Aufrufe • vor 12 Tagen •via X (Twitter)

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23 Kommentare

Profilbild von Andy Smith

Andy Smithvor 12 Tagen

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

Profilbild von Sebastian Buzdugan

Sebastian Buzduganvor 11 Tagen

till wins when custom python builds matter

Profilbild von Subhan Qureshi

Subhan Qureshivor 12 Tagen

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

Profilbild von Tanvir Hossain

Tanvir Hossainvor 11 Tagen

Helpful one

Profilbild von Vinay Bharambe

Vinay Bharambevor 12 Tagen

Wow really amezing Share

Profilbild von David Marco

David Marcovor 11 Tagen

Awesome

Profilbild von A S II F

A S II Fvor 12 Tagen

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

Profilbild von AI Horizon

AI Horizonvor 11 Tagen

Awesome

Profilbild von Crio Songo

Crio Songovor 11 Tagen

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

Profilbild von Zivlen Ai

Zivlen Aivor 12 Tagen

good share

Profilbild von Satendra Tiwari

Satendra Tiwarivor 12 Tagen

Great share

Profilbild von Sakhil Khan

Sakhil Khanvor 12 Tagen

It makes managing python projects way easier

Profilbild von orc8r

orc8rvor 12 Tagen

🤯 why to bother with that in 2026?!

Profilbild von Safwan

Safwanvor 12 Tagen

Impressive share

Profilbild von Lyra Irish

Lyra Irishvor 11 Tagen

Great

Profilbild von Dylan Sutton Chavez

Dylan Sutton Chavezvor 12 Tagen

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

Profilbild von Sultan U

Sultan Uvor 11 Tagen

Did you just find out?

Profilbild von Jiwoong Lee

Jiwoong Leevor 11 Tagen

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

Profilbild von Maxwell Orion

Maxwell Orionvor 12 Tagen

Amazing share

Profilbild von Jims not Jim

Jims not Jimvor 11 Tagen

Uv is hardly new at this point

Profilbild von NAYAK

NAYAKvor 11 Tagen

great

Profilbild von Max

Maxvor 12 Tagen

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

Profilbild von Meenakshi Yadav

Meenakshi Yadavvor 12 Tagen

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

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This is literally the easiest way to build an AI agent. Zero code. You only need to run a couple of commands. (I've said this before, but Google ADK is my favorite way to build code-first agents.) Here is what you need to do: 1. Open your terminal and create an empty folder 2. Run `uv init` inside the folder (if you don't have uv installed, you are really missing out!) 3. Install the google-adk library using the following command: `uv add google-adk`. 4. At this point, you can use the ask to create your agent with a single command: `uv run adk create --type=config my_agent`. This will ask you a couple of questions, including your GEMINI_API_KEY (you can create one online). 5. The command above will create a my_agent/root_agent.yaml file. Open it and add the following two lines at the end of the file so your agent can use Google to search for stuff: tools: - name: google_search 6. You have everything you need now. Run the adk web interface and start playing with your agent: `uv run adk web` That's it! Literally zero code. The agent works off the YAML configuration file.

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Santiago

140,922 Aufrufe • vor 10 Monaten

Finally, Apple's ML-Sharp will run directly in the upcoming Python scripting module in LichtFeld Studio as a plugin. This is not another ML-Sharp UI! The LichtFeld release 0.5 will transform LichtFeld Studio from mere splat software into a comprehensive platform. I'm developing a plugin system that will require uploading Python plugin scripts to GitHub with all dependencies specified. In LFS, you'll simply need to type the GitHub repo URL, and it will import the extension. Dependencies are managed by the integrated UV packet management. You'll be able to run Colmap, SAM3, Depth Models, and more directly in LFS, and even create your own UIs. This change will be transformative for the 3DGS software ecosystem. The custom LichtFeld tensor library is already fully interoperable with PyTorch via dlpack, bringing all the ML power into LFS if desired. I'm extremely hyped and excited about these upcoming features.

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MrNeRF

10,404 Aufrufe • vor 9 Monaten

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Innopro

34,290 Aufrufe • vor 17 Tagen

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Yarchi

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45,656 Aufrufe • vor 1 Jahr

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Spookreme 🎃

30,054 Aufrufe • vor 3 Monaten

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aVersionOfReality

14,935 Aufrufe • vor 1 Jahr

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13,210 Aufrufe • vor 2 Jahren

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Dilmer

17,837 Aufrufe • vor 5 Monaten

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alex

14,212 Aufrufe • vor 1 Monat

someone just rebuilt claude code in pure python and made it 230x cheaper to run it's called clawcodex. a full from-scratch port of the claude code agent loop. 230k+ lines of python, MIT licensed it keeps your request prefix byte-stable, so DeepSeek's prompt cache covers your entire system + tools + history on every turn cache-hit input then bills at ~$0.0435 per 1M tokens the same 1M tokens on Claude Fable 5 runs you $10 so the longer you code, the more the cache pays off what you actually get: → 25 LLM providers (Claude, GPT, DeepSeek, GLM, local ollama) → 1M token context window → real agent loop: tools, skills, REPL, session history → one-line install, mac/linux/wsl and it's sitting at 677 stars. basically nobody is looking yet bookmark this before it gone

someone just rebuilt claude code in pure python and made it 230x cheaper to run it's called clawcodex. a full from-scratch port of the claude code agent loop. 230k+ lines of python, MIT licensed it keeps your request prefix byte-stable, so DeepSeek's prompt cache covers your entire system + tools + history on every turn cache-hit input then bills at ~$0.0435 per 1M tokens the same 1M tokens on Claude Fable 5 runs you $10 so the longer you code, the more the cache pays off what you actually get: → 25 LLM providers (Claude, GPT, DeepSeek, GLM, local ollama) → 1M token context window → real agent loop: tools, skills, REPL, session history → one-line install, mac/linux/wsl and it's sitting at 677 stars. basically nobody is looking yet bookmark this before it gone

alex

158,896 Aufrufe • vor 2 Monaten

someone just rebuilt claude code in pure python and made it ~230x cheaper to run it's called clawcodex. a full from-scratch port of the claude code agent loop. 230k+ lines of python, MIT licensed it keeps your request prefix byte-stable, so DeepSeek's prompt cache covers your entire system + tools + history on every turn cache-hit input then bills at ~$0.0435 per 1M tokens the same 1M tokens on Claude Fable 5 runs you $10 so the longer you code, the more the cache pays off what you actually get: → 25 LLM providers (Claude, GPT, DeepSeek, GLM, local ollama) → 1M token context window → real agent loop: tools, skills, REPL, session history → one-line install, mac/linux/wsl and it's sitting at 677 stars. basically nobody is looking yet bookmark this before it gone

someone just rebuilt claude code in pure python and made it ~230x cheaper to run it's called clawcodex. a full from-scratch port of the claude code agent loop. 230k+ lines of python, MIT licensed it keeps your request prefix byte-stable, so DeepSeek's prompt cache covers your entire system + tools + history on every turn cache-hit input then bills at ~$0.0435 per 1M tokens the same 1M tokens on Claude Fable 5 runs you $10 so the longer you code, the more the cache pays off what you actually get: → 25 LLM providers (Claude, GPT, DeepSeek, GLM, local ollama) → 1M token context window → real agent loop: tools, skills, REPL, session history → one-line install, mac/linux/wsl and it's sitting at 677 stars. basically nobody is looking yet bookmark this before it gone

Argona

51,369 Aufrufe • vor 3 Monaten

New week new demo! Today I want to showcase the CLI to control the Superlogical multiplexer. The CLI is an extremely powerful tool for automation and hooking into other tools like editors, agentic coding tools, and more. And, it's super fun! Everything you can do in the GUI, you can do via the CLI. Actually, you can do more in the CLI. You can create sessions, run commands, make splits, move things around, change focus, simulate any input device (key/mouse/etc.), wait on scripts, and more. There are a couple unique parts of Rex I'm showing off here too: our streaming event system that any client can hook into (or script). And the terminal-specific API to retrieve information like a JSON object of the running process. I hope this demo lets your imagination run free of where you might slot something like this into your existing tools.

New week new demo! Today I want to showcase the CLI to control the Superlogical multiplexer. The CLI is an extremely powerful tool for automation and hooking into other tools like editors, agentic coding tools, and more. And, it's super fun! Everything you can do in the GUI, you can do via the CLI. Actually, you can do more in the CLI. You can create sessions, run commands, make splits, move things around, change focus, simulate any input device (key/mouse/etc.), wait on scripts, and more. There are a couple unique parts of Rex I'm showing off here too: our streaming event system that any client can hook into (or script). And the terminal-specific API to retrieve information like a JSON object of the running process. I hope this demo lets your imagination run free of where you might slot something like this into your existing tools.

Mitchell Hashimoto

204,281 Aufrufe • vor 28 Tagen

🚀 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 Aufrufe • vor 1 Jahr

🐍 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 Aufrufe • vor 2 Jahren

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 Aufrufe • vor 1 Monat