lightning-ai/pytorch-lightning
Grade a repo

93

/ 100

GradeA

A top-tier open source project. Docs, tests, and CI are all in excellent shape.

Top 8% of 5,156 graded repos

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

Documentation94
Engineering94
Health88
Python31,218Apache-2.01mo ago

Top fixes

Highest-impact changes first, ranked by point weight

10 to address
  1. 1
    CI/CD14pt

    Add a lint step to catch style issues automatically.

  2. 2
    CI/CD14pt

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

  3. 3
    Install and run instructions9pt

    Add a .env.example listing all required environment variables so contributors know what to set up.

  4. 4
    Reproducibility6pt

    Add a Dockerfile, .nvmrc, or .python-version to pin the runtime version and make the environment reproducible.

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Scorecard

Every check, grouped by category and sorted worst-first

Documentation

94

Contributing guide5pt77

CONTRIBUTING guide found.

Install and run instructions9pt90

README documents how to install the project.

README12pt100

README is present.

License6pt100

Licensed under Apache-2.0.

Engineering

94

CI/CD14pt85

CI is configured (.github/workflows/ci-check-md-links.yml).

Reproducibility6pt90

Lockfile present (requirements.txt). Installs are reproducible.

Tests18pt100

Test files detected (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

88

Dependency manifest6pt62

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

  • 7 / 58
    Commits (30d / 90d)
  • 3,754
    Forks
  • 174
    Releaseslatest 6y ago

Community

  • 87% - Good
    Community health
  • 4 bus factor
    authors own >50% of commits
  • 31,218
    Watchers

Responsiveness

  • 4h
    Median issue response
  • <1h
    Median PR merge time
  • 1,035
    Open issues
Repository files23 root entries
  • .actions
  • .github
    Good: CONTRIBUTING guide found.
    Issue: CONTRIBUTING guide contents could not be read (−28 pts vs a readable file).Fix: Move the file to the repo root or docs/CONTRIBUTING.md so its setup, style, test, and PR sections can be graded.
    Good: Code of conduct present.
    Good: CI is configured (.github/workflows/ci-check-md-links.yml).
    Good: Dependabot covers 2 ecosystems (pip, github-actions). Dependencies stay current.
    Good: Issue or PR templates present.
  • .lightning
  • docs
  • examples
  • requirements
  • src
  • tests
    Good: Test files detected (tests).
  • _notebooks
  • .codecov.yml
  • .git-blame-ignore-revs
  • .gitignore
    Good: .gitignore present.
  • .gitmodules
  • .pre-commit-config.yaml
  • .readthedocs.yml
  • CITATION.cff
  • LICENSE
    Good: Licensed under Apache-2.0.
  • Makefile
  • 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.
  • requirements.txt
    Good: Lockfile present (requirements.txt). Installs are reproducible.
  • SECURITY.md
    Good: Security policy present.
  • setup.py
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