Agents & orchestration

astroautomata/PySR

Symbolic Learning in Python and Julia

★ 4,167Week rank 37 · star gain starts at the next snapshot

From the README

PySR Symbolic Regression in Python and Julia Docs  ×  Examples  ×  API  ×  Forum  ×  Agents If you find PySR useful, please cite the paper arXiv:2305.01582. If you've finished a project with PySR, please submit a PR to showcase your work on the research showcase page!

Setup prompt

Paste this into Cursor or Claude Code. It only includes install lines found in the README, and it asks the agent to review the code first.

Set up the GitHub repository astroautomata/PySR (Symbolic Learning in Python and Julia).
Repository: https://github.com/astroautomata/PySR

Official install commands found in the README:
pip install pysr
conda install -c conda-forge pysr
npx skills add astroautomata/PySR
docker build -t pysr .
docker run -it --rm pysr ipython

Clone the repository and follow those steps. Do not invent package names or extra install commands.
Review the code before running anything.

Buzz by window

Same mentions, three half-lives. This is not a star history. Star gain appears after a second daily snapshot.

Today1.66
Week2.35
Month2.47

Spotted on

HN @verdvermOct 25, 2026
X @jreuben1Oct 25, 2026

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