unilabsim/unilab
Grade a repo

0

/ 100

GradeA

Polished and well engineered. Punching above its star count.

UniLab: A Heterogeneous Architecture for Robot RL Beyond GPU-Dominant Paradigms

Documentation97
Engineering98
Health96
Python798Apache-2.0today

Outstanding. A score of 97/100 puts this repo in a very small tier of truly well-engineered projects.

Documentation

97

Install and run instructions9pt90

README documents how to install the project.

README12pt100

README is present.

License6pt100

Licensed under Apache-2.0.

Contributing guide5pt100

Contributing guide is detailed and thorough.

Engineering

98

Reproducibility6pt80

Lockfile present (uv.lock). Installs are reproducible.

Tests18pt100

Test files detected (benchmark/smoke_test.py).

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

96

Dependency manifest6pt86

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)
  • 77
    Forks
  • 0
    Releases

Community

  • -
    Community health
  • -
    authors own >50% of commits
  • 798
    Watchers

Responsiveness

  • 6d 19h
    Median issue response
  • <1h
    Median PR merge time
  • 15
    Open issues
Repository files23 root entries
  • .github
    Good: CI is configured (.github/workflows/ci.yml).
    Good: Issue or PR templates present.
  • benchmark
    Good: Test files detected (benchmark/smoke_test.py).
  • conf
  • docs
  • notebook
  • scripts
  • src
  • tests
  • .dockerignore
  • .gitignore
    Good: .gitignore present.
  • .pre-commit-config.yaml
  • AGENTS.md
  • CLAUDE.md
  • 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.
  • Dockerfile
    Good: Environment pinned via Dockerfile.
  • LICENSE
    Good: Licensed under Apache-2.0.
  • Makefile
  • pyproject.rocm.toml
  • pyproject.toml
    Good: Dependency manifest found (pyproject.toml).
  • README_zh.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
  • uv.lock
    Good: Lockfile present (uv.lock). Installs are reproducible.
  • uv.rocm.lock