microsoft/deepspeed
Grade a repo

0

/ 100

GradeA

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

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Documentation97
Engineering86
Health100
Python42,655Apache-2.03d ago

Documentation

97

Install and run instructions9pt90

README documents how to install the project.

Contributing guide5pt97

Contributing guide is detailed and thorough.

README12pt100

README is present.

License6pt100

Licensed under Apache-2.0.

Engineering

86

Tests18pt80

Test files detected (ci/test_tests_fetcher.py).

Reproducibility6pt80

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

CI/CD14pt85

CI is configured (.github/workflows/aws-torch-latest-full.yml).

Linting and formatting5pt100

Linter or formatter configured (.flake8).

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 health signals

Activity, community, and responsiveness at scan time

Activity

  • 39 / 97
    Commits (30d / 90d)
  • 4,880
    Forks
  • 112
    Releaseslatest 5y ago

Community

  • 87% - Good
    Community health
  • 4 bus factor
    authors own >50% of commits
  • 42,655
    Watchers

Responsiveness

  • 8h
    Median issue response
  • <1h
    Median PR merge time
  • 1,304
    Open issues
Repository files45 root entries
  • .github
    Good: CI is configured (.github/workflows/aws-torch-latest-full.yml).
    Good: Issue or PR templates present.
  • accelerator
  • azure
  • benchmarks
  • bin
  • blogs
  • ci
    Good: Test files detected (ci/test_tests_fetcher.py).
  • csrc
  • deepspeed
  • docker
    Good: Environment pinned via docker/Dockerfile.
  • docs
  • examples
  • op_builder
  • release
  • requirements
    Good: Lockfile present (requirements/requirements.txt). Installs are reproducible.
  • scripts
  • tests
  • .clang-format
  • .flake8
    Good: Linter or formatter configured (.flake8).
  • .gitignore
    Good: .gitignore present.
  • .gitmodules
  • .pre-commit-config.yaml
  • .pylintrc
  • .readthedocs.yml
  • .style.yapf
  • AGENTS.md
  • build_win.bat
  • CLAUDE.md
  • CODE_OF_CONDUCT.md
    Good: Code of conduct present.
  • CODEOWNERS
  • COMMITTERS.md
  • CONTRIBUTING.md
    Good: Contributing guide is detailed and thorough.
    Good: Contributing guide includes setup/install instructions.
    Issue: Contributing guide lacks a code style section (−8 pts).Fix: Describe your linting/formatting rules and how to run them.
    Good: Contributing guide explains how to run tests.
    Good: Contributing guide describes the PR/review workflow.
    Good: Contributing guide includes code examples.
  • environment.yml
  • GOVERNANCE.md
  • install.sh
  • LICENSE
    Good: Licensed under Apache-2.0.
  • Makefile
  • MANIFEST_win.in
  • MANIFEST.in
  • 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.
  • SECURITY.md
    Good: Security policy present.
  • setup.cfg
    Good: Dependency manifest found (setup.cfg).
  • setup.py
  • THIRD_PARTY_NOTICES.md
  • version.txt