kesai-labs/py123d
Grade a repo

87

/ 100

GradeB

Well engineered. The main gaps are a reproducible setup and issue and PR templates.

Top 18% of 5,156 graded repos

123D: A Unified Library for Multi-Modal Autonomous Driving Data

Documentation97
Engineering76
Health100
Python388Apache-2.01mo ago

Top fixes

Highest-impact changes first, ranked by point weight

6 to address
  1. 1
    Install and run instructions9pt

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

  2. 2
    Reproducibility6pt

    Commit poetry.lock, uv.lock, pdm.lock, Pipfile.lock, conda-lock.yml, or another lockfile for your Python dependency manager.

  3. 3
    Reproducibility6pt

    Add a Dockerfile, .nvmrc, or .python-version to pin the runtime version and make the environment reproducible.

  4. 4
    Reproducibility6pt

    Add .github/dependabot.yml with at least one package-ecosystem entry, or a renovate.json, so dependencies are updated automatically.

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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

76

Reproducibility6pt0

No dependency lockfile found (−70 pts).

→ Commit poetry.lock, uv.lock, pdm.lock, Pipfile.lock, conda-lock.yml, or another lockfile for your Python dependency manager.

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.

Tests18pt100

Test files detected (tests).

CI/CD14pt100

CI is configured (.github/workflows/pre-commit.yaml).

Linting and formatting5pt100

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

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

  • 0 / 8
    Commits (30d / 90d)
  • 38
    Forks
  • 10
    Releaseslatest 3mo ago

Community

  • 50% - Fair
    Community health
  • -
    authors own >50% of commits
  • 388
    Watchers

Responsiveness

  • 24d 1h
    Median issue response
  • <1h
    Median PR merge time
  • 4
    Open issues
Repository files14 root entries
  • .github
    Good: CI is configured (.github/workflows/pre-commit.yaml).
  • assets
  • docs
  • examples
  • src
  • tests
    Good: Test files detected (tests).
  • tutorials
  • .gitattributes
  • .gitignore
    Good: .gitignore present.
  • .pre-commit-config.yaml
  • 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.
  • 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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