phuang0915/transformers
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Solid early foundation. Docs and CI will help it get noticed.

Top 32% of 5,156 graded repos

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Documentation97
Engineering68
Health84
0Apache-2.04mo ago

Top fixes

Highest-impact changes first, ranked by point weight

10 to address
  1. 1
    Tests18pt

    Wire your tests to a documented command (e.g. a test script in your build config) so the suite is reproducible.

  2. 2
    CI/CD14pt

    Add a step like `run: npm test`, `run: pytest`, or `run: tox` to your workflow file.

  3. 3
    CI/CD14pt

    Add a lint step to catch style issues automatically.

  4. 4
    CI/CD14pt

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

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Scorecard

Every check, grouped by category and sorted worst-first

Documentation

97

Install and run instructions9pt90

README documents how to install the project.

README12pt100

README is present.

License6pt100

Licensed under Apache-2.0.

Contributing guide5pt100

Contributing guide is detailed and thorough.

Engineering

68

Linting and formatting5pt0

No linter or formatter config found.

→ Add a linter config such as .eslintrc.json, .prettierrc, ruff.toml, or .golangci.yml to enforce consistent code style.

CI/CD14pt57

CI is configured (.github/workflows/build_documentation.yml).

Tests18pt80

Test files detected (conftest.py).

Reproducibility6pt80

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

Issue and PR templates6pt100

Issue or PR templates present.

Project health

84

Repository metadata5pt60

Repository has a description.

Activity5pt80

Actively maintained (pushed within 3 months).

Dependency manifest6pt100

Dependency manifest found (pyproject.toml).

Housekeeping3pt100

.gitignore present.

Repository health signals

Activity, community, and responsiveness at scan time

Activity

  • -
    Commits (30d / 90d)
  • 0
    Forks
  • 0
    Releases

Community

  • -
    Community health
  • -
    authors own >50% of commits
  • 0
    Watchers

Responsiveness

  • -
    Median issue response
  • -
    Median PR merge time
  • 0
    Open issues
Repository files33 root entries
  • .ai
  • .circleci
  • .github
    Good: CI is configured (.github/workflows/build_documentation.yml).
    Good: Issue or PR templates present.
  • benchmark
    Good: Lockfile present (benchmark/requirements.txt). Installs are reproducible.
  • benchmark_v2
  • docker
    Good: Environment pinned via docker/transformers-all-latest-gpu/Dockerfile.
  • docs
  • examples
  • i18n
  • notebooks
  • scripts
  • src
  • tests
  • utils
  • .git-blame-ignore-revs
  • .gitattributes
  • .gitignore
    Good: .gitignore present.
  • AGENTS.md
  • awesome-transformers.md
  • CITATION.cff
  • CLAUDE.md
  • CODE_OF_CONDUCT.md
    Good: Code of conduct present.
  • conftest.py
    Good: Test files detected (conftest.py).
  • 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.
  • doctest_list.txt
  • ISSUES.md
  • LICENSE
    Good: Licensed under Apache-2.0.
  • Makefile
  • MIGRATION_GUIDE_V5.md
  • 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.
  • SECURITY.md
    Good: Security policy present.
  • setup.py
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