google/tunix

0

/ 100

Python2,347Apache-2.01d ago
Grade a repo

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

A Lightweight LLM Post-Training Library

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

Documentation

96

Install and run instructions9pt90

README documents how to install the project.

Contributing guide5pt92

Contributing guide is detailed and thorough.

README12pt100

README is present.

License6pt100

Licensed under Apache-2.0.

Engineering

93

Reproducibility6pt80

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

CI/CD14pt85

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

Tests18pt100

Test files detected (tests).

Linting and formatting5pt100

Linter or formatter configured (.pylintrc).

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

  • Commits (30d / 90d)
  • 311
    Forks
  • 10
    Releaseslatest 14d ago

Community

  • Community health
  • authors own >50% of commits
  • 2,347
    Watchers

Responsiveness

  • 3d 13h
    Median issue response
  • 4h
    Median PR merge time
  • 233
    Open issues
Repository files18 root entries
  • .gemini
  • .github
    Good: CI is configured (.github/workflows/build_and_test_tunix_nightly_regression.yml).
    Good: Issue or PR templates present.
  • docs
    Good: Contributing guide is detailed and thorough.
    Good: Contributing guide includes setup/install instructions.
    Good: Contributing guide describes code style expectations.
    Issue: Contributing guide lacks a testing section (−8 pts).Fix: Show contributors how to run the test suite (e.g. npm test, pytest, cargo test).
    Good: Contributing guide describes the PR/review workflow.
    Good: Contributing guide includes code examples.
  • examples
  • requirements
    Good: Lockfile present (requirements/requirements.txt). Installs are reproducible.
  • scripts
  • tests
    Good: Test files detected (tests).
  • tunix
  • .gitignore
    Good: .gitignore present.
  • .pre-commit-config.yaml
  • .pylintrc
    Good: Linter or formatter configured (.pylintrc).
  • .pylintrc-notebooks
  • build_docker.sh
  • Dockerfile
    Good: Environment pinned via Dockerfile.
  • LICENSE
    Good: Licensed under Apache-2.0.
  • 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.
  • readthedocs.yml