microsoft/deepspeed
Grade a repo

92

/ 100

GradeA

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

Top 10% of 5,156 graded repos

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

Documentation97
Engineering86
Health100
Python42,655Apache-2.01mo ago

Top fixes

Highest-impact changes first, ranked by point weight

7 to address
  1. 1
    Tests18pt

    Wire your tests to a documented command (e.g. a test script in your build config) so the suite is reproducible.

  2. 2
    CI/CD14pt

    Add a lint step to catch style issues automatically.

  3. 3
    CI/CD14pt

    Add `tsc --noEmit`, `mypy`, or `cargo check` to catch type errors before they merge.

  4. 4
    CI/CD14pt

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

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Scorecard

Every check, grouped by category and sorted worst-first

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
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