keras-team/keras
Grade a repo

95

/ 100

GradeA

Excellent work. The main thing left to polish is the README.

Top 6% of 5,156 graded repos

Deep Learning for humans

Documentation86
Engineering99
Health100
Python64,181Apache-2.08d ago

Outstanding. A score of 95/100 puts this repo in a very small tier of truly well-engineered projects.

Top fixes

Highest-impact changes first, ranked by point weight

4 to address
  1. 1
    README12pt

    Add a GIF, screenshot, or logo image. It is the fastest way to show what your project does.

  2. 2
    README12pt

    Add CI/build status badges from shields.io or your CI provider to signal project health.

  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

86

README12pt70

README is present.

Install and run instructions9pt90

README documents how to install the project.

License6pt100

Licensed under Apache-2.0.

Contributing guide5pt100

Contributing guide is detailed and thorough.

Engineering

99

Reproducibility6pt90

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

Tests18pt100

Test files detected (conftest.py).

CI/CD14pt100

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

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

  • 48 / 239
    Commits (30d / 90d)
  • 19,744
    Forks
  • 91
    Releaseslatest 8y ago

Community

  • 75% - Good
    Community health
  • 6 bus factor
    authors own >50% of commits
  • 64,181
    Watchers

Responsiveness

  • 4h
    Median issue response
  • <1h
    Median PR merge time
  • 217
    Open issues
Repository files28 root entries
  • .devcontainer
  • .gemini
  • .github
    Good: CI is configured (.github/workflows/gpu_tests.yml).
    Good: Dependabot covers 2 ecosystems (github-actions, pip). Dependencies stay current.
    Good: Issue or PR templates present.
  • benchmarks
  • examples
  • guides
  • integration_tests
  • keras
  • shell
  • .gitignore
    Good: .gitignore present.
  • .pre-commit-config.yaml
  • api_gen.py
  • CITATION.cff
  • codecov.yml
  • 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.
  • LICENSE
    Good: Licensed under Apache-2.0.
  • pip_build.py
  • pyproject.toml
    Good: Dependency manifest found (pyproject.toml).
  • README.md
    Good: README is present.
    Good: README is well structured with multiple sections.
    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.
    Good: README has code examples.
    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.
  • requirements-common.txt
  • requirements-jax-cuda.txt
  • requirements-jax-tpu.txt
  • requirements-tensorflow-cuda.txt
  • requirements-tensorflow-tpu.txt
  • requirements-torch-cuda.txt
  • requirements.txt
    Good: Lockfile present (requirements.txt). Installs are reproducible.
  • SECURITY.md
    Good: Security policy present.
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