95
/ 100
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.
Top fixes
Highest-impact changes first, ranked by point weight
- 1CI/CD14pt
Add a lint step to catch style issues automatically.
- 2CI/CD14pt
Upload coverage to Codecov, Coveralls, or report it with `--coverage` flags.
- 3Install and run instructions9pt
Add a .env.example listing all required environment variables so contributors know what to set up.
- 4Reproducibility6pt
Add .github/dependabot.yml with at least one package-ecosystem entry so dependencies are updated automatically.
Working through the fixes? Let every push regrade itself.
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Scorecard
Every check, grouped by category and sorted worst-first
Documentation
96
README documents how to install the project.
Contributing guide is detailed and thorough.
README is present.
Licensed under Apache-2.0.
Engineering
93
Lockfile present (requirements/requirements.txt). Installs are reproducible.
CI is configured (.github/workflows/build_and_test_tunix_nightly_regression.yml).
Test files detected (tests).
Linter or formatter configured (.pylintrc).
Issue or PR templates present.
Project health
100
Dependency manifest found (pyproject.toml).
Repository has a description.
Actively maintained (pushed within the last month).
.gitignore present.
Repository health signals
Activity, community, and responsiveness at scan time
Activity
- -Commits (30d / 90d)
- 316Forks
- 10Releaseslatest 2mo ago
Community
- 87% - GoodCommunity health
- 4 bus factorauthors own >50% of commits
- 2,360Watchers
Responsiveness
- 3d 13hMedian issue response
- 4hMedian PR merge time
- 239Open issues
Repository files18 root entries
- .gemini
- .githubGood: CI is configured (.github/workflows/build_and_test_tunix_nightly_regression.yml).Good: Issue or PR templates present.
- docsGood: 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
- requirementsGood: Lockfile present (requirements/requirements.txt). Installs are reproducible.
- scripts
- testsGood: Test files detected (tests).
- tunix
- .gitignoreGood: .gitignore present.
- .pre-commit-config.yaml
- .pylintrcGood: Linter or formatter configured (.pylintrc).
- .pylintrc-notebooks
- build_docker.sh
- DockerfileGood: Environment pinned via Dockerfile.
- LICENSEGood: Licensed under Apache-2.0.
- pyproject.tomlGood: Dependency manifest found (pyproject.toml).
- README.mdGood: 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
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