rodrigo-arenas/sklearn-genetic-opt
Grade a repo

0

/ 100

GradeB

Polished and well engineered. Punching above its star count.

Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.

Documentation75
Engineering92
Health100
Python363MITtoday

Documentation

75

README12pt40

README is present.

Install and run instructions9pt90

README documents how to install the project.

License6pt100

Licensed under MIT.

Contributing guide5pt100

Contributing guide is detailed and thorough.

Engineering

92

Reproducibility6pt70

Lockfile present (docs-vitepress/package-lock.json). Installs are reproducible.

CI/CD14pt85

CI is configured (.github/workflows/ci-tests.yml).

Tests18pt100

Test files detected (sklearn_genetic/callbacks/tests).

Linting and formatting5pt100

Linter or formatter configured ([tool.ruff] / [tool.black] in pyproject.toml).

Issue and PR templates6pt100

Issue or PR templates present.

Project health

100

Dependency manifest6pt100

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)
  • 105
    Forks
  • 22
    Releaseslatest 4y ago

Community

  • -
    Community health
  • -
    authors own >50% of commits
  • 363
    Watchers

Responsiveness

  • 8h
    Median issue response
  • <1h
    Median PR merge time
  • 16
    Open issues
Repository files17 root entries
  • .github
    Good: CI is configured (.github/workflows/ci-tests.yml).
    Good: Issue or PR templates present.
  • benchmarks
  • conda.recipe
  • docs
  • docs-vitepress
    Good: Lockfile present (docs-vitepress/package-lock.json). Installs are reproducible.
  • sklearn_genetic
    Good: Test files detected (sklearn_genetic/callbacks/tests).
  • .gitignore
    Good: .gitignore present.
  • CHANGELOG.md
  • CITATION.cff
  • CLAUDE.md
  • CODE_OF_CONDUCT.md
    Good: Code of conduct present.
  • CONTRIBUTING.md
    Good: Contributing guide is detailed and thorough.
    Good: Contributing guide includes setup/install instructions.
    Good: Contributing guide describes code style expectations.
    Good: Contributing guide explains how to run tests.
    Good: Contributing guide describes the PR/review workflow.
    Good: Contributing guide includes code examples.
  • dev-requirements.txt
  • LICENSE
    Good: Licensed under MIT.
  • pyproject.toml
    Good: Dependency manifest found (pyproject.toml).
  • README.rst
    Good: README is present.
    Issue: README has little structure (−15 pts). Add 2-3 headings for +8 pts; 4+ earns +15 pts.Fix: Break it into sections (Overview, Install, Usage, Contributing) using Markdown headings.
    Issue: No screenshots or images in the README (−20 pts).Fix: Add a GIF, screenshot, or logo image. It is the fastest way to show what your project does.
    Issue: README has no code examples (−15 pts).Fix: Show a quick-start snippet so contributors can see what using your project looks like.
    Good: README links to a live demo or deployed app.
    Issue: No status badges in the README (−10 pts).Fix: Add CI/build status badges from shields.io or your CI provider to signal project health.
    Good: README documents how to install the project.
    Good: README documents how to run the project.
  • SECURITY.md
    Good: Security policy present.