huggingface/diffusersNew scan
80/ 100 · B

Popular and well-maintained. A little polish away from elite status.

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

Python33,849 starsApache-2.0updated 3d ago
DocumentationREADME, setup, examples, license
90
EngineeringTests, CI, linting, lockfiles
75
Project healthDescription, activity, stars, deps
78

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
    CI/CD
    EngineeringInfo

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

Detailed breakdown

Documentation

90
  • README80
    • README is present.
    • README is well structured with multiple sections.
    • No screenshots or images in the README (−20 pts).Add a GIF, screenshot, or logo image. It is the fastest way to show what your project does.
    • 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 guide100
    • Contributing guide is detailed and thorough.
    • Contributing guide includes setup/install instructions.
    • Contributing guide describes code style expectations.
    • Contributing guide explains how to run tests.
    • Contributing guide describes the PR/review workflow.
    • Contributing guide includes code examples.
    • Code of conduct present.

Engineering

75
  • Tests60
    • Test files detected (examples/advanced_diffusion_training/test_dreambooth_lora_flux_advanced.py).
  • CI/CD85

    Not applicable?

    • CI is configured (.github/workflows/build_docker_images.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.
    • Optional: report test coverage in CI.Upload coverage to Codecov, Coveralls, or report it with `--coverage` flags.
    • CI tests across multiple environments or versions.
  • Linting and formatting60
    • pyproject.toml configures a Python formatter or linter (ruff/black).
    • No [tool.mypy] in pyproject.toml (−20 pts vs having both ruff and mypy).Install mypy and add a [tool.mypy] section to pyproject.toml for type checking.
  • Reproducibility92
    • Lockfile present (benchmarks/requirements.txt). Installs are reproducible.
    • Environment pinned via docker/diffusers-doc-builder/Dockerfile.
    • Dependabot configured for github-actions.
    • Dependabot only covers one ecosystem (+12 pts; covering 2+ earns +20 pts).Add additional package-ecosystem entries (especially github-actions) to keep all dependencies current.
  • Issue and PR templates90
    • Issue or PR templates present.
    • Optional: add a SECURITY.md.A SECURITY.md explains how to responsibly disclose vulnerabilities. Worth adding once the project has real users.

Project health

78
  • Dependency manifest55
    • Dependency manifest found (pyproject.toml).
  • Repository metadata70
    • Repository has a description.
    • Primary language detected: Python.
  • Activity100
    • Actively maintained (pushed within the last month).
    • 33,849 stars.
  • Housekeeping100
    • .gitignore present.
Repository files22 root entries
  • .ai
  • .github
    Good: CI is configured (.github/workflows/build_docker_images.yml).
    Good: Dependabot configured for github-actions.
    Good: Issue or PR templates present.
  • benchmarks
    Good: Lockfile present (benchmarks/requirements.txt). Installs are reproducible.
  • docker
    Good: Environment pinned via docker/diffusers-doc-builder/Dockerfile.
  • docs
  • examples
    Good: Test files detected (examples/advanced_diffusion_training/test_dreambooth_lora_flux_advanced.py).
  • scripts
  • src
  • tests
  • utils
  • _typos.toml
  • .gitignore
    Good: .gitignore present.
  • CITATION.cff
  • 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.
  • LICENSE
    Good: Licensed under Apache-2.0.
  • Makefile
  • MANIFEST.in
  • PHILOSOPHY.md
  • pyproject.toml
    Good: Dependency manifest found (pyproject.toml).
  • README.md
    Good: README is present.
    Good: README is well structured with multiple sections.
    Warning: 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.
    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.
  • setup.py