astroautomata/pysr
Grade a repo

0

/ 100

GradeB

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

High-Performance Symbolic Regression in Python and Julia

Documentation85
Engineering80
Health98
Python3,601Apache-2.0today

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 3y 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