0

/ 100

GradeB

A well-known project done right. Strong docs and solid engineering throughout.

Top 22% of 5,156 graded repos

High-Performance Symbolic Regression in Python and Julia

Python3,601Apache-2.01mo ago

Top fixes

Highest-impact changes first, ranked by point weight

9 to address
  1. 1
    Tests18pt

    Wire your tests to a documented command (e.g. a test script in your build config) so the suite is reproducible.

  2. 2
    CI/CD14pt

    Add a lint step to catch style issues automatically.

  3. 3
    CI/CD14pt

    Add `tsc --noEmit`, `mypy`, or `cargo check` to catch type errors before they merge.

  4. 4
    CI/CD14pt

    Upload coverage to Codecov, Coveralls, or report it with `--coverage` flags.

Working through the fixes? Let every push regrade itself.

The free GitHub App rescans this repo on every push and posts the grade as a commit check, so the score climbs without coming back to rescan by hand.

Install the GitHub App

Scorecard

Every check, grouped by category and sorted worst-first

Documentation

85

Contributing guide5pt25

Contributing guidance is in the README, not a dedicated CONTRIBUTING.md (−20 pts).

Moving it to a CONTRIBUTING.md makes it easier to find and keeps the README focused. A dedicated file earns +47 pts base.

Install and run instructions9pt90

README documents how to install the project.

README12pt100

README is present.

License6pt100

Licensed under Apache-2.0.

Engineering

80

Linting and formatting5pt0

No linter or formatter configured.

Add [tool.ruff] to pyproject.toml. Ruff handles linting and formatting in one tool and replaces flake8, isort, and black.

Tests18pt85

Test files detected (pysr/test).

CI/CD14pt85

CI is configured (.github/workflows/CI_apptainer.yml).

Reproducibility6pt100

Lockfile present (docs/all_contributors/yarn.lock). Installs are reproducible.

Issue and PR templates6pt100

Issue or PR templates present.

Project health

98

Dependency manifest6pt93

Dependency manifest found (pyproject.toml).

Repository metadata5pt100

Repository has a description.

Activity5pt100

Actively maintained (pushed within the last month).

Housekeeping3pt100

.gitignore present.

Repository health signals

Activity, community, and responsiveness at scan time

Activity

  • -
    Commits (30d / 90d)
  • 335
    Forks
  • 93
    Releaseslatest 4y ago

Community

  • -
    Community health
  • -
    authors own >50% of commits
  • 3,601
    Watchers

Responsiveness

  • 4h
    Median issue response
  • 1h
    Median PR merge time
  • 142
    Open issues
Repository files24 root entries
  • .github
    Good: CI is configured (.github/workflows/CI_apptainer.yml).
    Good: Dependabot covers 6 ecosystems (pip, github-actions, npm, pip, github-actions, npm). Dependencies stay current.
    Good: Issue or PR templates present.
  • benchmarks
  • docs
    Good: Lockfile present (docs/all_contributors/yarn.lock). Installs are reproducible.
  • examples
  • pysr
    Good: Test files detected (pysr/test).
  • scripts
  • .coveragerc
  • .gitignore
    Good: .gitignore present.
  • .pre-commit-config.yaml
  • .release-please-manifest.json
  • Apptainer.def
  • CHANGELOG.md
  • CITATION.md
  • CONTRIBUTORS.md
  • docker-bake.hcl
  • Dockerfile
    Good: Environment pinned via Dockerfile.
  • environment.yml
  • example.py
  • LICENSE
    Good: Licensed under Apache-2.0.
  • mypy.ini
  • pyproject.toml
    Good: Dependency manifest found (pyproject.toml).
  • README.md
    Good: README is present.
    Good: README is well structured with multiple sections.
    Good: README includes screenshots or visuals. Great for first impressions.
    Good: README has code examples.
    Good: README links to a live demo or deployed app.
    Good: README includes status badges.
    Good: README documents how to install the project.
    Good: README documents how to run the project.
  • release-please-config.json
  • setup.py
RepoGrade badge preview

Add this badge to your README

It updates automatically each time the repo is re-graded.

[![RepoGrade](https://www.repo-grade.com/api/badge/astroautomata/pysr)](https://www.repo-grade.com/report/astroautomata/pysr)

More graded Python repos