koxudaxi/datamodel-code-generator

0

/ 100

Documentation82
Engineering96
Health98
Python3,943MIT1d ago
Grade a repo

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

Generate Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON/YAML/CSV.

Documentation

82

Contributing guide5pt5

No CONTRIBUTING.md found (−47 pts base + up to −53 pts more for content).

→ Add a CONTRIBUTING.md telling newcomers how to get involved. Include setup, code style, test, and PR instructions.

Install and run instructions9pt90

README documents how to install the project.

README12pt100

README is present.

License6pt100

Licensed under MIT.

Engineering

96

CI/CD14pt85

CI is configured (.github/workflows/lint.yaml).

Tests18pt100

Test files detected (tests).

Linting and formatting5pt100

Linter or formatter configured ([tool.ruff] / [tool.black] in pyproject.toml).

Reproducibility6pt100

Lockfile present (uv.lock). Installs are reproducible.

Issue and PR templates6pt100

Issue or PR templates present.

Project health

98

Dependency manifest6pt93

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)
  • 449
    Forks
  • 256
    Releaseslatest 6y ago

Community

  • —
    Community health
  • —
    authors own >50% of commits
  • 3,943
    Watchers

Responsiveness

  • 9h
    Median issue response
  • <1h
    Median PR merge time
  • 30
    Open issues
Repository files23 root entries
  • .github
    Good: CI is configured (.github/workflows/lint.yaml).
    Good: Dependabot covers 2 ecosystems (pip, github-actions). Dependencies stay current.
    Good: Issue or PR templates present.
  • docs
  • overrides
  • scripts
  • skills
  • src
  • tests
    Good: Test files detected (tests).
  • .coderabbit.yaml
  • .gitignore
    Good: .gitignore present.
  • .pre-commit-config.yaml
  • .pre-commit-hooks.yaml
  • action.yml
  • CHANGELOG.md
  • CODE_OF_CONDUCT.md
    Good: Code of conduct present.
  • Dockerfile
    Good: Environment pinned via Dockerfile.
  • LICENSE
    Good: Licensed under MIT.
  • 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.
  • SECURITY.md
    Good: Security policy present.
  • tox.ini
  • uv.lock
    Good: Lockfile present (uv.lock). Installs are reproducible.
  • zensical.toml