unity-technologies/ml-agents

0

/ 100

Documentation86
Engineering89
Health100
C#19,494Other7d ago
Grade a repo

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

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

Documentation

86

Contributing guide5pt77

CONTRIBUTING guide found.

README12pt80

README is present.

Install and run instructions9pt90

README documents how to install the project.

License6pt100

Licensed under Other.

Engineering

89

Reproducibility6pt10

No dependency lockfile found (−70 pts).

→ Commit poetry.lock, uv.lock, pdm.lock, Pipfile.lock, conda-lock.yml, or another lockfile for your Python dependency manager.

Tests18pt100

Test files detected (DevProject/Assets/ML-Agents/Scripts/Tests).

CI/CD14pt100

CI is configured (.github/workflows/pre-commit.yml).

Linting and formatting5pt100

.NET formatting configured (.editorconfig).

Issue and PR templates6pt100

Issue or PR templates present.

Project health

100

Dependency manifest6pt100

Dependency manifest found (setup.cfg).

Repository metadata5pt100

Repository has a description.

Activity5pt100

Actively maintained (pushed within the last month).

Housekeeping3pt100

.gitignore present.

Repository files42 root entries
  • .github
    Good: CI is configured (.github/workflows/pre-commit.yml).
    Good: Issue or PR templates present.
  • .yamato
  • colab
  • com.unity.ml-agents
    Good: CONTRIBUTING guide found.
    Issue: CONTRIBUTING guide contents could not be read (−28 pts vs a readable file).Fix: Move the file to the repo root or docs/CONTRIBUTING.md so its setup, style, test, and PR sections can be graded.
  • com.unity.ml-agents.tests
  • config
  • DevProject
    Good: Test files detected (DevProject/Assets/ML-Agents/Scripts/Tests).
  • docs
  • localized_docs
  • ml-agents
  • ml-agents-envs
  • ml-agents-plugin-examples
  • ml-agents-trainer-plugin
  • PerformanceProject
  • Project
  • protobuf-definitions
  • Tools
  • unity-volume
  • utils
  • .editorconfig
    Good: .NET formatting configured (.editorconfig).
  • .gitattributes
  • .gitignore
    Good: .gitignore present.
  • .gitmodules
  • .pre-commit-config.yaml
  • .pre-commit-search-and-replace.yaml
  • catalog-info.yaml
  • CODE_OF_CONDUCT.md
    Good: Code of conduct present.
  • CODEOWNERS
  • colab_requirements.txt
  • conftest.py
  • Dockerfile
    Good: Environment pinned via Dockerfile.
  • LICENSE.md
    Good: Licensed under Other.
  • markdown-link-check.fast.json
  • markdown-link-check.full.json
  • mkdocs.yml
  • pytest.ini
  • Readme.md
    Good: README is present.
    Good: README is well structured with multiple sections.
    Issue: No screenshots or images in the README (−20 pts).Fix: Add a GIF, screenshot, or logo image. It is the fastest way to show what your project does.
    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.
  • setup.cfg
    Good: Dependency manifest found (setup.cfg).
  • SURVEY.md
  • test_constraints_version.txt
  • test_requirements.txt
  • Third Party Notices.md