lablup/backend.ai
Grade a repo

92

/ 100

GradeA

Excellent work. The main thing left to polish is CI.

Top 10% of 5,156 graded repos

Backend.AI is a streamlined, container-based computing cluster platform that hosts popular computing/ML frameworks and diverse programming languages, with pluggable heterogeneous accelerator support including CUDA GPU, ROCm GPU, Gaudi NPU, Google TPU, GraphCore IPU and other NPUs.

Documentation93
Engineering91
Health91
Python658LGPL-3.01mo ago

Top fixes

Highest-impact changes first, ranked by point weight

10 to address
  1. 1
    CI/CD14pt

    Add a step like `run: npm test`, `run: pytest`, or `run: tox` to your workflow file.

  2. 2
    CI/CD14pt

    Upload coverage to Codecov, Coveralls, or report it with `--coverage` flags.

  3. 3
    Install and run instructions9pt

    Add a .env.example listing all required environment variables so contributors know what to set up.

  4. 4
    Reproducibility6pt

    Add additional package-ecosystem entries (especially github-actions) to keep all dependencies current.

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Scorecard

Every check, grouped by category and sorted worst-first

Documentation

93

Contributing guide5pt72

CONTRIBUTING guide found.

Install and run instructions9pt90

README documents how to install the project.

README12pt100

README is present.

License6pt100

Licensed under LGPL-3.0.

Engineering

91

CI/CD14pt72

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

Reproducibility6pt92

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

Tests18pt100

Test files detected (src/ai/backend/common/dto/manager/spec).

Linting and formatting5pt100

Linter or formatter configured (.editorconfig).

Issue and PR templates6pt100

Issue or PR templates present.

Project health

91

Dependency manifest6pt71

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

  • 227 / 638
    Commits (30d / 90d)
  • 182
    Forks
  • 313
    Releaseslatest 5y ago

Community

  • 75% - Good
    Community health
  • 4 bus factor
    authors own >50% of commits
  • 658
    Watchers

Responsiveness

  • 901d 20h
    Median issue response
  • 9d 7h
    Median PR merge time
  • 1,471
    Open issues
Repository files54 root entries
  • .claude
  • .devcontainer
  • .github
    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.
    Good: CI is configured (.github/workflows/build-test.yml).
    Good: Dependabot configured for github-actions.
    Good: Issue or PR templates present.
  • changes
  • configs
  • docker
  • docs
  • fixtures
  • plugins
  • proposals
  • scripts
  • src
    Good: Test files detected (src/ai/backend/common/dto/manager/spec).
    Good: Environment pinned via src/ai/backend/install/configs/docker-compose.yml.
  • stubs
  • tests
  • tools
  • wheelhouse
  • .devskim.json
  • .dockerignore
  • .editorconfig
    Good: Linter or formatter configured (.editorconfig).
  • .git-blame-ignore-revs
  • .gitattributes
  • .gitignore
    Good: .gitignore present.
  • .gitmodules
  • .mcp.json
  • .readthedocs.yaml
  • AGENTS.md
  • backend.ai
  • bai
  • BUILD
  • BUILD_ROOT
  • BUILDING.md
  • CHANGELOG.md
  • CLAUDE.md
  • codecov.yml
  • constraints.txt
  • dev
  • docker-compose.halfstack-ha.yml
  • docker-compose.halfstack-main.yml
  • docker-compose.monorepo.yml
  • gql-inspector-checker.js
  • LICENSE
    Good: Licensed under LGPL-3.0.
  • MIGRATION.md
  • pants.ci.toml
  • pants.toml
  • py
  • pyproject.toml
    Good: Dependency manifest found (pyproject.toml).
  • python-kernel.lock
  • python-kernel.lock.metadata
  • python.lock
  • python.lock.metadata
  • 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.
  • redis-sentinel.Dockerfile
  • requirements.txt
    Good: Lockfile present (requirements.txt). Installs are reproducible.
  • VERSION
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