Lightning-AI/lightningNew scan
92/ 100 · A

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

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

Python31,184 starsApache-2.0updated 6d ago
DocumentationREADME, setup, examples, license
93
EngineeringTests, CI, linting, lockfiles
94
Project healthDescription, activity, stars, deps
81

What to fix first

The highest-impact improvements for this repo.

  1. 1
    CI/CD
    EngineeringInfo

    Add a lint step (e.g. `npm run lint`, `ruff check .`, `cargo clippy`) to catch style issues automatically.

  2. 2
    CI/CD
    EngineeringInfo

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

  3. 3
    Install and run instructions
    DocumentationInfo

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

Detailed breakdown

Documentation

93
  • README100
    • README is present.
    • README is well structured with multiple sections.
    • README includes screenshots or visuals. Great for first impressions.
    • README has code examples.
    • README links to a live demo or deployed app.
    • README includes status badges.
  • Install and run instructions90
    • README documents how to install the project.
    • README documents how to run the project.
    • If your project uses environment variables, add a .env.example listing them (+10 pts).Add a .env.example listing all required environment variables so contributors know what to set up.
  • License100
    • Licensed under Apache-2.0.
  • Contributing guide75
    • CONTRIBUTING guide or docs directory present.
    • Code of conduct present.

Engineering

94
  • Tests100
    • Test files detected (tests).
    • Pytest configured via [tool.pytest.ini_options] in pyproject.toml with test files present.
    • Coverage reporting is configured in pyproject.toml.
  • CI/CD85

    Not applicable?

    • CI is configured (.github/workflows/ci-check-md-links.yml).
    • CI workflow runs tests.
    • CI runs on pull requests, not just on pushes to main.
    • CI does not appear to run a linter (−15 pts).Add a lint step (e.g. `npm run lint`, `ruff check .`, `cargo clippy`) to catch style issues automatically.
    • Optional: add type checking to CI.Add `tsc --noEmit`, `mypy`, or `cargo check` to catch type errors before they merge.
    • CI reports or uploads test coverage.
    • CI tests across multiple environments or versions.
  • Linting and formatting100
    • pyproject.toml configures both a formatter/linter (ruff/black) and type checking (mypy).
  • Reproducibility90
    • Lockfile present (requirements.txt). Installs are reproducible.
    • No Dockerfile or runtime version pin found. Adding one earns +10 pts.Add a Dockerfile, .nvmrc, or .python-version to pin the runtime version and make the environment reproducible.
    • Dependabot covers 2 ecosystems (pip, github-actions). Dependencies stay current.
  • Issue and PR templates100
    • Issue or PR templates present.
    • Security policy present.

Project health

81
  • Dependency manifest65
    • Dependency manifest found (pyproject.toml).
    • pyproject.toml has a [build-system] table. The package can be built and published.
  • Repository metadata70
    • Repository has a description.
    • Primary language detected: Python.
  • Activity100
    • Actively maintained (pushed within the last month).
    • 31,184 stars.
  • Housekeeping100
    • .gitignore present.
Repository files23 root entries
  • .actions
  • .github
    Good: CONTRIBUTING guide or docs directory present.
    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