Fully isolated IPython kernels based on uv
Project description
uvk -- Fully isolated IPython kernels through the magic of uv
This project uses uv's ultrafast package deployment capabilities and on-the-fly isolated environment composition to run the IPython kernel in a Jupyter instance.
- Notebooks can grab their dependencies and leave neither trouble nor cruft behind
- No need for a whole
pyproject.tomljust to run somebody's notebook once - Elegantly integrate Jupyter notebooks into uv-driven project development workflows
| Full documentation | Tutorial | IPython extension | CLI reference |
|---|
Quickstart-and-dirty
| I have uv 😎 | I only have Python and Pip |
|---|---|
uvx uvk --user |
python -m venv .uvk \ && . ./.uvk/bin/activate \ && pip install uvk \ && uvk --user |
If your Jupyter instance is already running, wait up to a minute for it to poll for kernel specs and discover your new uvk. Otherwise, start Jupyter Lab or Jupyter Notebook.
Check out the tutorial on how to make the most of uvk features.
License
uvk is distributed as open source software under the MIT license.
Help and support
Full documentation is on ReadTheDocs. If you can't find any answer to your question after some reasonable foraging, please open an issue and I will provide as much guidance as I can. Please read and abide by the code of conduct guiding acceptable behaviour in issue and PR conversations.
Contributing
Contributions are more than welcome. If you have ideas for features or projects please get in touch. Whether code, example notebooks, example scripts, documentation — all equally valuable, so please do not presume you cannot provide something useful to this project. To contribute please fork the project, make your changes and submit a pull request. We will do our best to work through any issues with you and get your contribution merged in.
The uvk project is a proud participant to the Jupyter software ecosystem. If this project provides value towards your own work, please consider contributing to the Jupyter Foundation.
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