zarr-developers/zarr-python
Grade a repo

94

/ 100

GradeA

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

Top 4% of 5,156 graded repos

An implementation of chunked, compressed, N-dimensional arrays for Python.

Documentation96
Engineering96
Health100
Python2,008MIT29d ago

Outstanding. A score of 97/100 puts this repo in a very small tier of truly well-engineered projects.

Top fixes

Highest-impact changes first, ranked by point weight

5 to address
  1. 1
    CI/CD14pt

    Add a lint step to catch style issues automatically.

  2. 2
    CI/CD14pt

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

  3. 3
    Install and run instructions9pt

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

  4. 4
    Contributing guide5pt

    Describe your linting/formatting rules and how to run them.

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Scorecard

Every check, grouped by category and sorted worst-first

Documentation

96

Install and run instructions9pt90

README documents how to install the project.

Contributing guide5pt92

Contributing guide is detailed and thorough.

README12pt100

README is present.

License6pt100

Licensed under MIT.

Engineering

96

CI/CD14pt85

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

Tests18pt100

Test files detected (packages/zarr-metadata/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

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

  • 30 / 109
    Commits (30d / 90d)
  • 423
    Forks
  • 105
    Releaseslatest 9y ago

Community

  • 87% - Good
    Community health
  • 4 bus factor
    authors own >50% of commits
  • 2,008
    Watchers

Responsiveness

  • 2d 20h
    Median issue response
  • 20h
    Median PR merge time
  • 513
    Open issues
Repository files26 root entries
  • .github
    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.
    Good: CI is configured (.github/workflows/check_changelogs.yml).
    Good: Dependabot covers 3 ecosystems (github-actions, uv, github-actions). Dependencies stay current.
    Good: Issue or PR templates present.
  • bench
  • changes
  • ci
  • design
  • docs
  • examples
  • packages
    Good: Test files detected (packages/zarr-metadata/tests).
  • src
  • tests
  • .git_archival.txt
  • .git-blame-ignore-revs
  • .gitattributes
  • .gitignore
    Good: .gitignore present.
  • .pre-commit-config.yaml
  • .python-version
    Good: Environment pinned via .python-version.
  • .pyup.yml
  • .readthedocs.yaml
  • codecov.yml
  • FUNDING.yml
  • LICENSE.txt
    Good: Licensed under MIT.
  • mkdocs.yml
  • 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.
  • TEAM.md
  • uv.lock
    Good: Lockfile present (uv.lock). Installs are reproducible.
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