datascale-ai/opentalking
Grade a repo

0

/ 100

GradeA

A well-known project done right. Strong docs and solid engineering throughout.

OpenTalking: An industrial-grade open-source AI digital human framework that supports real-time conversation, private deployment, and pluggable models.

Documentation99
Engineering98
Health98
Python1,457Apache-2.0today

Outstanding. A score of 98/100 puts this repo in a very small tier of truly well-engineered projects.

Documentation

99

Contributing guide5pt99

Contributing guide is too short for full depth credit (−6 pts). 400+ words earns the full +12 pts.

→ Add setup instructions, code style notes, and how to run tests.

README12pt100

README is present.

Install and run instructions9pt100

README documents how to install the project.

License6pt100

Licensed under Apache-2.0.

Engineering

98

Reproducibility6pt80

Lockfile present (apps/homepage/package-lock.json). Installs are reproducible.

Tests18pt100

Test files detected (apps/api/tests).

CI/CD14pt100

CI is configured (.github/workflows/ci.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

98

Dependency manifest6pt93

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

  • -
    Commits (30d / 90d)
  • 305
    Forks
  • 1
    Releaseslatest 13d ago

Community

  • -
    Community health
  • -
    authors own >50% of commits
  • 1,457
    Watchers

Responsiveness

  • 2d 1h
    Median issue response
  • <1h
    Median PR merge time
  • 12
    Open issues
Repository files25 root entries
  • .github
    Good: CI is configured (.github/workflows/ci.yml).
    Good: Issue or PR templates present.
  • apps
    Good: Test files detected (apps/api/tests).
    Good: Lockfile present (apps/homepage/package-lock.json). Installs are reproducible.
  • configs
  • docker
  • docs
  • examples
  • opentalking
  • scripts
  • tests
  • .env.example
  • .gitignore
    Good: .gitignore present.
  • .pre-commit-config.yaml
  • AGENT.md
  • CODE_OF_CONDUCT.md
    Good: Code of conduct present.
  • conftest.py
  • CONTRIBUTING.md
    Issue: Contributing guide is too short for full depth credit (−6 pts). 400+ words earns the full +12 pts.Fix: Add setup instructions, code style notes, and how to run tests.
    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.
  • docker-compose.gpu.yml
  • docker-compose.yml
    Good: Environment pinned via docker-compose.yml.
  • LICENSE
    Good: Licensed under Apache-2.0.
  • Makefile
  • mkdocs.yml
  • pyproject.toml
    Good: Dependency manifest found (pyproject.toml).
  • README.en.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.
  • README.md
  • README.zh.md