89

/ 100

GradeB

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

Top 14% of 5,156 graded repos

Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

Python1,133BSD-3-Clause1mo ago

Top fixes

Highest-impact changes first, ranked by point weight

9 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
    CI/CD14pt

    Add `pull_request:` to the workflow `on:` triggers.

  3. 3
    CI/CD14pt

    Upload coverage to Codecov, Coveralls, or report it with `--coverage` flags.

  4. 4
    README12pt

    Add a GIF, screenshot, or logo image. It is the fastest way to show what your project does.

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Scorecard

Every check, grouped by category and sorted worst-first

Documentation

88

README12pt80

README is present.

Contributing guide5pt88

Contributing guide is detailed and thorough.

Install and run instructions9pt90

README documents how to install the project.

License6pt100

Licensed under BSD-3-Clause.

Engineering

86

Tests18pt80

Test files detected (cli/qai_hub_models_cli/test).

Reproducibility6pt82

Lockfile present (scripts/compiler_nightly/requirements.txt). Installs are reproducible.

CI/CD14pt83

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

Linting and formatting5pt100

Linter or formatter configured (cli/ruff.toml).

Issue and PR templates6pt100

Issue or PR templates present.

Project health

100

Dependency manifest6pt100

Dependency manifest found (cli/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

  • 174 / 502
    Commits (30d / 90d)
  • 202
    Forks
  • 69
    Releaseslatest 2y ago

Community

  • 87% - Good
    Community health
  • -
    authors own >50% of commits
  • 1,133
    Watchers

Responsiveness

  • 1d 19h
    Median issue response
  • 5h
    Median PR merge time
  • 13
    Open issues
Repository files20 root entries
  • .breeze
  • .claude
  • .github
    Good: CI is configured (.github/workflows/test_models_split.yml).
    Good: Dependabot configured for github-actions.
    Good: Issue or PR templates present.
  • cli
    Good: Test files detected (cli/qai_hub_models_cli/test).
    Good: Linter or formatter configured (cli/ruff.toml).
    Good: Dependency manifest found (cli/pyproject.toml).
  • proto
  • scripts
    Good: Lockfile present (scripts/compiler_nightly/requirements.txt). Installs are reproducible.
  • src
  • tutorials
  • .gitattributes
  • .gitignore
    Good: .gitignore present.
  • .pre-commit-config.yaml
  • .pre-commit-license-header.txt
  • .pre-commit-line-ending-check.yaml
  • .shellcheckrc
  • CLAUDE.md
  • CODE-OF-CONDUCT.md
  • CONTRIBUTING.md
    Good: Contributing guide is detailed and thorough.
    Issue: Contributing guide lacks a setup section (−12 pts).Fix: Show new contributors how to get a local dev environment running.
    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 BSD-3-Clause.
  • README.md
    Good: README is present.
    Good: README is well structured with multiple sections.
    Issue: No screenshots or images in the README (−20 pts).Fix: Add a GIF, screenshot, or logo image. It is the fastest way to show what your project does.
    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.
  • ruff.toml
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