alibaba/roll

0

/ 100

Documentation82
Engineering62
Health100
Python3,257Apache-2.01d ago
Grade a repo

Good community traction and solid fundamentals. Nearly in the top tier.

An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models

Documentation

82

Contributing guide5pt0

No CONTRIBUTING.md found (−47 pts base + up to −53 pts more for content).

→ Add a CONTRIBUTING.md telling newcomers how to get involved. Include setup, code style, test, and PR instructions.

Install and run instructions9pt90

README documents how to install the project.

README12pt100

README is present.

License6pt100

Licensed under Apache-2.0.

Engineering

62

Linting and formatting5pt0

No linter or formatter config found.

→ Add a linter config such as .eslintrc.json, .prettierrc, ruff.toml, or .golangci.yml to enforce consistent code style.

Issue and PR templates6pt0

No issue or PR templates found (−100 pts).

→ Add .github/ISSUE_TEMPLATE/ with bug_report.md and feature_request.md to guide contributors. It dramatically improves issue quality.

Reproducibility6pt70

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

Tests18pt80

Test files detected (roll/pipeline/agentic/env/cli_env/test_cli.py).

CI/CD14pt85

CI is configured (.github/workflows/ci-npu-test.yml).

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)
  • 290
    Forks
  • 4
    Releaseslatest 6d ago

Community

  • —
    Community health
  • —
    authors own >50% of commits
  • 3,257
    Watchers

Responsiveness

  • 3h
    Median issue response
  • <1h
    Median PR merge time
  • 115
    Open issues
Repository files31 root entries
  • .github
    Good: CI is configured (.github/workflows/ci-npu-test.yml).
  • assets
  • data
  • docker
  • docs_roll
  • examples
  • mcore_adapter
    Good: Lockfile present (mcore_adapter/requirements.txt). Installs are reproducible.
  • roll
    Good: Test files detected (roll/pipeline/agentic/env/cli_env/test_cli.py).
  • scripts
  • tests
  • third_party
  • .gitignore
    Good: .gitignore present.
  • .gitmodules
  • .pre-commit-config.yaml
  • CLAUDE.md
  • LICENSE
    Good: Licensed under Apache-2.0.
  • Makefile
  • MANIFEST.in
  • 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.
  • requirements_common.txt
  • requirements_em_local_debug.txt
  • requirements_torch_2100_vllm_amd.txt
  • requirements_torch2100_vllm.txt
  • requirements_torch260_diffsynth.txt
  • requirements_torch260_sglang.txt
  • requirements_torch260_vllm.txt
  • requirements_torch280_sglang.txt
  • requirements_torch280_vllm.txt
  • requirements_vision.txt
  • setup.py