0
/ 100
Rough and inactive. Tests, CI, and a fuller README would revive it.
TensorFlow Lite for Microcontrollers
A low grade is a to-do list, not a judgment of your code
Most gaps here are documentation, tests, and setup, not the code itself. Closing your top 3 gaps alone would lift this repo to C (77).
See your top fixesTop fixes
Highest-impact changes first, ranked by point weight
- 1Tests18pt
Wire your tests to a documented command (e.g. a test script in your build config) so the suite is reproducible.
- 2CI/CD14pt
Add a step like `run: npm test`, `run: pytest`, or `run: tox` to your workflow file.
- 3CI/CD14pt
Add a lint step to catch style issues automatically.
- 4CI/CD14pt
Add `tsc --noEmit`, `mypy`, or `cargo check` to catch type errors before they merge.
Working through the fixes? Let every push regrade itself.
The free GitHub App rescans this repo on every push and posts the grade as a commit check, so the score climbs without coming back to rescan by hand.
Scorecard
Every check, grouped by category and sorted worst-first
Documentation
76
No install instructions found in the README (−45 pts).
→ Add a section showing how to install dependencies.
Contributing guide is detailed and thorough.
README is present.
Licensed under Apache-2.0.
Engineering
54
No linter or formatter config found.
→ Add a linter config such as .eslintrc.json, .prettierrc, ruff.toml, or .golangci.yml to enforce consistent code style.
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.
CI is configured (.github/workflows/check_pr_has_bug.yml).
Lockfile present (tensorflow/lite/micro/examples/magic_wand/train/requirements.txt). Installs are reproducible.
Test files detected (tensorflow/lite/micro/examples/magic_wand/train/data_augmentation_test.py).
Project health
75
No pushes in over 2 years. Looks unmaintained (−95 pts).
→ A recent commit signals the project is alive and worth using.
Dependency manifest found (tensorflow/lite/micro/examples/magic_wand/train/requirements.txt).
Repository has a description.
.gitignore present.
Repository health signals
Activity, community, and responsiveness at scan time
Activity
- -Commits (30d / 90d)
- 0Forks
- 0Releases
Community
- -Community health
- -authors own >50% of commits
- 1Watchers
Responsiveness
- -Median issue response
- -Median PR merge time
- 0Open issues
Repository files15 root entries
- .githubGood: CI is configured (.github/workflows/check_pr_has_bug.yml).
- ci
- data
- docs
- tensorflowGood: Test files detected (tensorflow/lite/micro/examples/magic_wand/train/data_augmentation_test.py).Good: Lockfile present (tensorflow/lite/micro/examples/magic_wand/train/requirements.txt). Installs are reproducible.Good: Dependency manifest found (tensorflow/lite/micro/examples/magic_wand/train/requirements.txt).
- third_party
- .bazelrc
- .clang-format
- .gitignoreGood: .gitignore present.
- AUTHORS
- CODEOWNERS
- CONTRIBUTING.mdGood: 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.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.
- LICENSEGood: Licensed under Apache-2.0.
- README.mdGood: README is present.Good: README is well structured with multiple sections.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.Issue: No install instructions found in the README (−45 pts).Fix: Add a section showing how to install dependencies.Good: README documents how to run the project.
- WORKSPACE
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