JupyterWith
A Nix-based framework for creating declarative and reproducible Jupyter environments with configurable kernels and extensions.
What is JupyterWith?
JupyterWith is a Nix-based framework for creating declarative and reproducible Jupyter environments. It solves the problem of inconsistent Jupyter setups by allowing users to define their entire environment—including JupyterLab, extensions, and kernels for multiple programming languages—using Nix expressions, ensuring the same environment works identically across different machines.
Data scientists, researchers, and developers who use Jupyter for interactive computing and want reproducible, conflict-free environments, especially those already familiar with or interested in Nix for package management.
Developers choose JupyterWith because it leverages Nix's powerful declarative package management to create fully reproducible Jupyter environments, eliminating dependency hell and ensuring consistency across teams and deployments, with support for a wide variety of programming language kernels.
Overview
Declarative and reproducible Jupyter environments - powered by Nix
Use Cases
Best For
- Creating reproducible data science environments for team collaboration
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