npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

@platforma-open/milaboratories.runenv-python-3.12.10-pgen

v0.3.0

Published

Python 3.12.10 run environment for the Generation Probability block (olga for CDR3 generation probability + numpy + polars with the rtcompat runtime)

Readme

Python 3.12.10 run environment for the Generation Probability block (generation-probability): olga (V(D)J generation-probability computation for CDR3s, including its 10 bundled recombination models) plus numpy and polars for Parquet I/O.

The set is pinned flat and matches the block's requirements.txt: olga, numba, llvmlite, numpy, polars, polars-runtime-32 and polars-runtime-compat. The block installs it with pip --no-index --find-links <runenv packages>, so each pin in the block must exist here as a wheel. Change the pins here and in the block together.

polars-runtime-compat is the polars[rtcompat] extra. It replaces polars-lts-cpu. olga and numba are declared under noDeps. Their loose requirements otherwise pull the newest numba, llvmlite and numpy next to the pinned versions.

The block uses olga's FastPgen, which runs numba kernels. numpy 2.4.6 has only manylinux_2_28 wheels on Linux, so the host needs glibc 2.28 or newer. macOS-Intel (macosx-x64) is intentionally not built — llvmlite ships no cp312 wheel for that platform.