lablup/backend.ai

0

/ 100

Documentation93
Engineering91
Health91
Python648LGPL-3.01d ago
Grade a repo

Polished and well engineered. Punching above its star count.

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.

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

  • —
    Commits (30d / 90d)
  • 179
    Forks
  • 309
    Releaseslatest 5y ago

Community

  • —
    Community health
  • —
    authors own >50% of commits
  • 648
    Watchers

Responsiveness

  • 901d 20h
    Median issue response
  • 9d 7h
    Median PR merge time
  • 1,393
    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