ibm/lale
Grade a repo

0

/ 100

GradeB

Good shape overall. A few tweaks would push it into the top tier.

Top 30% of 5,156 graded repos

Library for Semi-Automated Data Science

Python347Apache-2.01mo ago

Top fixes

Highest-impact changes first, ranked by point weight

17 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
    README12pt

    Break it into sections (Overview, Install, Usage, Contributing) using Markdown headings.

  3. 3
    README12pt

    Show a quick-start snippet so contributors can see what using your project looks like.

  4. 4
    Install and run instructions9pt

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

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Scorecard

Every check, grouped by category and sorted worst-first

Documentation

83

README12pt70

README is present.

Contributing guide5pt79

Contributing guide is detailed and thorough.

Install and run instructions9pt90

README documents how to install the project.

License6pt100

Licensed under Apache-2.0.

Engineering

78

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 (test).

Reproducibility6pt80

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

CI/CD14pt100

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

Linting and formatting5pt100

Linter or formatter configured (.flake8).

Project health

88

Dependency manifest6pt62

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)
  • 83
    Forks
  • 88
    Releaseslatest 6y ago

Community

  • -
    Community health
  • -
    authors own >50% of commits
  • 347
    Watchers

Responsiveness

  • 2d 8h
    Median issue response
  • 2h
    Median PR merge time
  • 24
    Open issues
Repository files24 root entries
  • .github
    Good: CI is configured (.github/workflows/build.yml).
  • docs
    Good: Lockfile present (docs/requirements.txt). Installs are reproducible.
  • examples
  • lale
  • talks
  • test
    Good: Test files detected (test).
  • .flake8
    Good: Linter or formatter configured (.flake8).
  • .gitignore
    Good: .gitignore present.
  • .isort.cfg
  • .pre-commit-config.yaml
  • .readthedocs.yml
  • .yamllint
  • bandit.yaml
  • 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.
    Issue: Contributing guide lacks a testing section (−8 pts).Fix: Show contributors how to run the test suite (e.g. npm test, pytest, cargo test).
    Good: Contributing guide describes the PR/review workflow.
    Issue: Contributing guide has no code examples (−5 pts).Fix: Add code blocks showing example commands for setup, running tests, and submitting a PR.
  • DCO1.1.txt
  • Dockerfile
    Good: Environment pinned via Dockerfile.
  • LICENSE.txt
    Good: Licensed under Apache-2.0.
  • Makefile
  • mypy.ini
  • pylintrc
  • pyproject.toml
    Good: Dependency manifest found (pyproject.toml).
  • pyrightconfig.json
  • README.md
    Good: README is present.
    Issue: README has little structure (−15 pts). Add 2-3 headings for +8 pts; 4+ earns +15 pts.Fix: Break it into sections (Overview, Install, Usage, Contributing) using Markdown headings.
    Good: README includes screenshots or visuals. Great for first impressions.
    Issue: README has no code examples (−15 pts).Fix: Show a quick-start snippet so contributors can see what using your project looks like.
    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.
  • setup.py
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