Python Exchange

Reproducibility of your software environments is often treated like an afterthought. By the time you’re thinking about it, it’s already too late.

We encountered this time again with clients and built a solution in the form of a conda-store which introduced versioning, role-based-accessed control, and most importantly: reproducibility, to conda environments on platforms like JupyterHub.

While effective, the project required heavy infrastructure, had slow environment solves, and was tied to a server-first world of global conda environments. Meanwhile, tools like Pixi and uv have transformed Python packaging with lockfiles and project-oriented workflows, improving reproducibility, but only for individual developers.

In this presentation, we introduce Nebi, a new open-source tool that brings multi-user environment management to the modern Python packaging era, supporting both project-oriented and shared global environments with versioning, role-based access control, and sharing via publishing through OCI registries as well as standalone servers.

Coming Soon

Documentation generators have for me been a thing where there are so many trade-offs. They might make beautiful sites but be shallow feature-wise. Or full of features but really hard to configure. After some years of working across R, Python, and the broader open-source ecosystem, I started Great Docs with a simple end goal: your docs should look really great, be easy to discover, and be ready for the AI era.

In this presentation I will walk through the various places I drew inspiration for Great Docs (pkgdown, MATLAB, Elixir, and the Vue.js docs). I'll show how Great Docs makes documentation consumable by both humans and AI agents through Skills and MCP server documentation. I'll share some of the features I obsessively built because I wanted them in my own package docs. Finally, I'll discuss where this project is headed beyond Python (toward documenting CLIs, TUIs, and more).

Watch on Youtube