tencent/ncnn
Grade a repo

82

/ 100

GradeB

Popular and well-maintained. A little polish away from elite status.

Top 28% of 5,156 graded repos

ncnn is a high-performance neural network inference framework optimized for the mobile platform

Documentation89
Engineering76
Health88
C++23,405Other1mo ago

Top fixes

Highest-impact changes first, ranked by point weight

19 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 a lint step to catch style issues automatically.

  3. 3
    CI/CD14pt

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

  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

89

Contributing guide5pt47

CONTRIBUTING guide is very brief (−12 pts for depth). 150+ words earns +6 pts; 400+ earns +12 pts.

→ Add setup instructions, code style notes, and how to run tests.

Install and run instructions9pt90

README documents how to install the project.

README12pt100

README is present.

License6pt100

Licensed under Other.

Engineering

76

Linting and formatting5pt0

No linter or formatter configured.

→ Add [tool.ruff] to pyproject.toml. Ruff handles linting and formatting in one tool and replaces flake8, isort, and black.

Tests18pt80

Test files detected (python/tests).

Reproducibility6pt82

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

CI/CD14pt85

CI is configured (.github/workflows/test-coverage.yml).

Issue and PR templates6pt100

Issue or PR templates present.

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

  • 7 / 95
    Commits (30d / 90d)
  • 4,446
    Forks
  • 49
    Releaseslatest 7y ago

Community

  • 75% - Good
    Community health
  • 1 bus factorlow
    author own >50% of commits
  • 23,405
    Watchers

Responsiveness

  • <1h
    Median issue response
  • <1h
    Median PR merge time
  • 1,186
    Open issues
Repository files30 root entries
  • .github
    Good: CI is configured (.github/workflows/test-coverage.yml).
    Good: Dependabot configured for github-actions.
    Good: Issue or PR templates present.
  • benchmark
  • cmake
  • docs
  • examples
  • images
  • python
    Good: Test files detected (python/tests).
    Good: Lockfile present (python/requirements.txt). Installs are reproducible.
  • src
  • tests
  • toolchains
  • tools
  • .astylerc
  • .clang-format
  • .gitattributes
  • .gitignore
    Good: .gitignore present.
  • .gitmodules
  • build-android.cmd
  • build.sh
  • CITATION.cff
  • CMakeLists.txt
  • codeformat.sh
  • CONTRIBUTING.md
    Issue: CONTRIBUTING guide is very brief (−12 pts for depth). 150+ words earns +6 pts; 400+ earns +12 pts.Fix: Add setup instructions, code style notes, and how to run tests.
    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.
    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).
    Issue: Contributing guide lacks a PR workflow section (−8 pts).Fix: Explain how to fork, branch, and open a pull request so contributors know what to expect.
    Issue: Contributing guide has no code examples (−5 pts).Fix: Add code blocks showing example commands for setup, running tests, and submitting a PR.
  • glslang
  • Info.plist
  • LICENSE.txt
    Good: Licensed under Other.
  • MANIFEST.in
  • package.sh
  • 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.
  • setup.py
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