# owls-on-wires/keplearn

> A deterministic symbolic regression engine in Rust that recovers compact closed-form equations from tabular CSV/TSV data. Single static dependency-free binary that answers in seconds.

- Magnitude: 3.7 out of 10 — Early signal
- Stars: 66 total · +31 stars measured 2026-10-29, 16:53–18:26 UTC, ≈ 38 by evening
- Star trust: star growth looks organic
- Category: Data & analytics · Language: Rust · License: MIT · Created: 2026-09-13 · Last push: 2026-10-24
- GitHub: https://github.com/owls-on-wires/keplearn · Page: https://gitnova.dev/en/r/owls-on-wires/keplearn

## Useful for

- Recover a physical law from a measurement table, e.g. force from masses and distance
- Test a formula hypothesis by piping a CSV via stdin and getting JSON equations
- Cap search time with --timeout for hard datasets

## Why it’s here

- Star-counter measurements on 2026-10-29 (UTC), 16:53–18:26: 35 → 66 stars (+31). This is the change over that interval.
- Estimated end-of-day forecast: about +38 stars, using observed gains and the previous day.
- Before this, the repository barely got any stars — about 0 per day.
- The repository is 46 days old and already has 66 stars.
- Hacker News: “Keplearn: Extract Equations from Data in Seconds” — 51 points, 4 h ago.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 3
- Issues and pull requests: 0
- Watchers: 0
- Average over the last week: 6 per day
- Usual pace: 0 per day
- Stars in the last hour (measured): 16
- Latest release: v0.1.2 (2026-09-13)

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-09-30 … 2026-10-29: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 1, 0, 0, 0, 31

## Hacker News

- Keplearn: Extract Equations from Data in Seconds — 51 points, 1 comments: https://news.ycombinator.com/item?id=50289590

## Spotted in now

- Spotted on Hacker News

## Similar by description

1. **astroautomata/PySR** — 1.2 · Cooling · Language models · Python · +6 stars measured 2026-10-29, 00:10–18:34 UTC, ≈ 7 by evening
   PySR is a symbolic regression library for Python and Julia that searches for interpretable analytic expressions fitting a dataset, instead of a black-box neural network.
   Full card: https://gitnova.dev/en/r/astroautomata/PySR.md

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-29 18:38 UTC, updated every 30 minutes.