allenai/olmo-core
Grade a repo

85

/ 100

GradeB

A well-known project done right. Strong docs and solid engineering throughout.

Top 22% of 5,156 graded repos

PyTorch building blocks for the OLMo ecosystem

Documentation97
Engineering70
Health100
Python1,318Apache-2.01mo ago

Top fixes

Highest-impact changes first, ranked by point weight

5 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
    Install and run instructions9pt

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

  3. 3
    Issue and PR templates6pt

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

  4. 4
    Issue and PR templates6pt

    A SECURITY.md explains how to responsibly disclose vulnerabilities. Worth adding once the project has real users.

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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.

README12pt100

README is present.

License6pt100

Licensed under Apache-2.0.

Contributing guide5pt100

Contributing guide is detailed and thorough.

Engineering

70

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.

Tests18pt80

Test files detected (src/integration_tests/test_train_small_model.py).

CI/CD14pt100

CI is configured (.github/workflows/main.yml).

Reproducibility6pt100

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

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

  • 7 / 31
    Commits (30d / 90d)
  • 268
    Forks
  • 29
    Releaseslatest 1y ago

Community

  • 50% - Fair
    Community health
  • 1 bus factorlow
    author own >50% of commits
  • 1,318
    Watchers

Responsiveness

  • 1d 4h
    Median issue response
  • <1h
    Median PR merge time
  • 89
    Open issues
Repository files14 root entries
  • .claude
  • .github
    Good: CI is configured (.github/workflows/main.yml).
    Good: Dependabot covers 2 ecosystems (pip, github-actions). Dependencies stay current.
  • docs
    Good: Lockfile present (docs/requirements.txt). Installs are reproducible.
  • src
    Good: Test files detected (src/integration_tests/test_train_small_model.py).
    Good: Environment pinned via src/Dockerfile.
  • .gitignore
    Good: .gitignore present.
  • .readthedocs.yaml
  • CHANGELOG.md
  • CLAUDE.md
  • CONTRIBUTING.md
    Good: Contributing guide is detailed and thorough.
    Good: Contributing guide includes setup/install instructions.
    Good: Contributing guide describes code style expectations.
    Good: Contributing guide explains how to run tests.
    Good: Contributing guide describes the PR/review workflow.
    Good: Contributing guide includes code examples.
  • 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.
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