pixi-kernel 0.4.0

Description:

pixikernel 0.4.0

Pixi Kernel




Per-directory Pixi environments with multi-language Jupyter kernels.


Pixi Kernel supports Python 3.8+ and Pixi 0.21.0+ using pyproject.toml and pixi.toml configurations.
Disclaimer: This project is not affiliated with Pixi, and not an official Pixi plugin.
Quick Start
This assumes you want a Python kernel. For other languages, check the Kernel
support table and replace ipykernel with the desired kernel package.

Install Pixi and pixi-kernel alongside JupyterLab using pixi, pip or any other conda or
pip-based package manager.
Restart JupyterLab.
Create a new directory and initialize a Pixi project with pixi init and pixi add ipykernel.
Restart the kernel and you are good to go.

See the Pixi docs for more information on how to use Pixi.
Kernel support
Pixi Kernel supports the following kernels:



Language
Kernel
Package name




Bash
Bash Kernel
bash_kernel


C++
Xeus Cling
xeus-cling


Python
IPython Kernel
ipykernel


R
IR Kernel
r-irkernel



Support for other kernels and languages can be added by opening an issue or a pull request. Check
the contributing guide for more information on
adding new kernels.
mybinder.org
You can try Pixi Kernel on mybinder.org by clicking the badge at the top of
this README. Check pixi-kernel-binder for
how to set up a Binder repository with Pixi Kernel.
Limitations
Pixi Kernel does not support using Pixi environments other than the default one. If you have an
idea how to support this, please open an issue or check the contributing guide
to open a pull request.
Related

Pyproject Local Jupyter Kernel
Poetry-kernel
Python Local .venv Kernel

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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