Serverless Jupyter Lab with GPUs and persistent storage
We get asked whether we support Notebooks on Unweave all the time. So, we put together a serverless Jupyter Lab Portal built on top of Unweave. You can choose from 5 different GPUs or use CPU only. The lab comes with an `uwstore` folder at the root of the repository. Any files you add there will be persisted across multiple sessions. We've pre-loaded all labs with a set of commonly used ML dependencies. If you'd like to add additional dependencies, you can install them directly in the Jupyter Lab and save them to a `requirements.txt` or `environment.yml` file. Unweave will automatically…
Serverless Jupyter Lab with GPUs and persistent storage launched on November 7, 2022 with 16 votes, #1,170 of 3,471 launches that month and more than 75% of that year's launches.
In plain words
Serverless Jupyter Lab with GPUs and persistent storage is a Jupyter notebook environment built on Unweave for data scientists and machine learning developers. Users can select from five GPU options or work with CPU only, with common ML libraries pre-installed. Files saved to the `uwstore` folder persist across sessions, and custom dependencies can be added via requirements.txt or environment.yml files. Billing is charged by the minute.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
We get asked whether we support Notebooks on Unweave all the time. So, we put together a serverless Jupyter Lab Portal built on top of Unweave. You can choose from 5 different GPUs or use CPU only. The lab comes with an `uwstore` folder at the root of the repository. Any files you add there will be persisted across…
Does a similar job
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Adding Mistral Codestral and GPT-4o to Jupyter Notebooks2024 · github.com · ▲269Hey HN! We’ve forked Jupyter Lab and added AI code generation features that feel native and have all the context about your notebook. You can see a demo video (2 min) here: https://www.tella.tv/video/clxt7ei4v00rr09i5gt1laop6/view Try a hosted version here: https://pretzelai.app Jupyter is by far the most used Data Science tool. Despite its popularity, it still lacks good code-generation extensions. The flagship AI extension jupyter-ai lags far behind in features and UX compared to modern AI code generation and understanding tools (like…

A modern Jupyter client for macOS2024 · satyrn.app · ▲611I love Jupyter – it's how I learned to code back when I was working as a scientist. But I was always frustrated that there wasn't a simple and elegant app that I could use with my Mac. I made do by wrapping JupyterLab in a chrome app, and then more recently switching to VS Code to make use of Copilot. I've always craved a more focused and lighter-weight experience when working in a notebook. That's why I created Satyrn. It starts up really fast (faster time-to-execution than VS Code or JupyterLab), you can launch notebooks right from the Finder, and the design is super minimalist. It's got…
WASM-powered codespaces for Python notebooks on GitHub2025 · docs.marimo.io · ▲204Hi HN! Last year, we shared marimo [1], an open-source reactive notebook for Python with support for execution through WebAssembly [2]. We wanted to share something new: you can now run marimo and Jupyter notebooks directly from GitHub in a Wasm-powered, codespace-like environment. What makes this powerful is that we mount the GitHub repository's contents as a filesystem in the notebook, making it really easy to share notebooks with data. All you need to do is prepend 'marimo.app' to any Python notebook on GitHub. Some examples: - Jupyter Notebook:…
Mercury – Convert Jupyter notebooks to web apps2023 · runmercury.com · ▲131Author here. Mercury is the simplest way to serve your notebooks as web apps. The simplicity of the framework is very important to us. Mercury has some useful features to make sharing easier: - you can show or hide your code, - your users can easily export executed notebook to PDF/HTML, - there is built-in authentication, - you can produce files in the notebook and make them downloadable, - you can share multiple notebooks. We also care about deployment simplicity. That's why we created a shared hosting service called Mercury Cloud. You can deploy notebook by uploading a file. Below…

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