96

/ 100

GradeA

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

Top 5% of 5,156 graded repos

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

Python43,062Apache-2.028d ago

Outstanding. A score of 96/100 puts this repo in a very small tier of truly well-engineered projects.

Top fixes

Highest-impact changes first, ranked by point weight

6 to address
  1. 1
    Install and run instructions9pt

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

  2. 2
    Reproducibility6pt

    Add .github/dependabot.yml with at least one package-ecosystem entry so dependencies are updated automatically.

  3. 3
    Dependency manifest6pt

    Add a `repository` field pointing to the GitHub URL so npm knows where the source lives.

  4. 4
    Dependency manifest6pt

    Add a `keywords` array to help people find your package on npm.

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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.

Contributing guide5pt97

Contributing guide is detailed and thorough.

README12pt100

README is present.

License6pt100

Licensed under Apache-2.0.

Engineering

98

Reproducibility6pt80

Lockfile present (pnpm-lock.yaml). Installs are reproducible.

Tests18pt100

Test files detected (.config/vitest.config.ts).

CI/CD14pt100

CI is configured (.github/workflows/test-functional.yml).

Linting and formatting5pt100

Linter or formatter configured (.config/.prettierrc.json).

Issue and PR templates6pt100

Issue or PR templates present.

Project health

92

Dependency manifest6pt75

Dependency manifest found (package.json).

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

  • -
    Commits (30d / 90d)
  • 3,533
    Forks
  • 1000
    Releaseslatest 11mo ago

Community

  • 87% - Good
    Community health
  • 3 bus factor
    authors own >50% of commits
  • 43,062
    Watchers

Responsiveness

  • 15h
    Median issue response
  • 23h
    Median PR merge time
  • 234
    Open issues
Repository files50 root entries
  • .agents
  • .changeset
  • .claude
  • .config
    Good: Test files detected (.config/vitest.config.ts).
    Good: Linter or formatter configured (.config/.prettierrc.json).
  • .devcontainer
  • .github
    Good: CI is configured (.github/workflows/test-functional.yml).
    Good: Issue or PR templates present.
  • .storybook
  • .vscode
  • client
  • demo
  • ffmpeg-bin
  • gradio
  • guides
  • home
  • js
  • patches
  • readme_files
    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.
  • scripts
  • test
    Good: Environment pinned via test/test_docker/Dockerfile.
  • testing-guidelines
  • _worker.bundle
  • .dockerignore
  • .editorconfig
  • .git-blame-ignore-revs
  • .gitignore
    Good: .gitignore present.
  • AGENTS.md
  • build_pypi.sh
  • CHANGELOG.md
  • 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.
    Issue: Contributing guide lacks a code style section (−8 pts).Fix: Describe your linting/formatting rules and how to run them.
    Good: Contributing guide explains how to run tests.
    Good: Contributing guide describes the PR/review workflow.
    Good: Contributing guide includes code examples.
  • cs.js
  • globals.d.ts
  • LICENSE
    Good: Licensed under Apache-2.0.
  • package.json
    Good: Dependency manifest found (package.json).
  • pnpm-lock.yaml
    Good: Lockfile present (pnpm-lock.yaml). Installs are reproducible.
  • pnpm-workspace.yaml
  • pyproject.toml
  • readme_template.md
  • README.md
  • render_readme.py
  • renovate.json
  • requirements-mcp.txt
  • requirements-oauth.txt
  • requirements.txt
  • SECURITY.md
    Good: Security policy present.
  • style.md
  • svelte.config.js
  • tsconfig.json
  • tsconfig.tmp.json
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