84

/ 100

GradeB

A top-tier open source project. Docs, tests, and CI are all in excellent shape.

Top 20% of 5,156 graded repos

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

C++23,985Apache-2.01mo 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 a step like `run: npm test`, `run: pytest`, or `run: tox` to your workflow file.

  3. 3
    CI/CD14pt

    Add a lint step to catch style issues automatically.

  4. 4
    CI/CD14pt

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

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Scorecard

Every check, grouped by category and sorted worst-first

Documentation

91

README12pt85

README is present.

Install and run instructions9pt90

README documents how to install the project.

Contributing guide5pt97

Contributing guide is detailed and thorough.

License6pt100

Licensed under Apache-2.0.

Engineering

78

CI/CD14pt57

CI is configured (.github/workflows/check-bypass-slice.yml).

Tests18pt80

Test files detected (paddle/fluid/inference/experimental/javaapi/test.java).

Reproducibility6pt80

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

Linting and formatting5pt100

Linter or formatter configured (.editorconfig).

Issue and PR templates6pt100

Issue or PR templates present.

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

  • 92 / 478
    Commits (30d / 90d)
  • 6,009
    Forks
  • 69
    Releaseslatest 7y ago

Community

  • 87% - Good
    Community health
  • 20 bus factor
    authors own >50% of commits
  • 23,985
    Watchers

Responsiveness

  • <1h
    Median issue response
  • 2h
    Median PR merge time
  • 1,568
    Open issues
Repository files41 root entries
  • .agents
  • .claude
  • .github
    Good: CI is configured (.github/workflows/check-bypass-slice.yml).
    Good: Issue or PR templates present.
  • ci
  • cmake
  • doc
  • paddle
    Good: Test files detected (paddle/fluid/inference/experimental/javaapi/test.java).
    Good: Environment pinned via paddle/scripts/musl_build/Dockerfile.
  • patches
  • python
    Good: Lockfile present (python/requirements.txt). Installs are reproducible.
  • r
  • security
  • test
  • third_party
  • tools
  • _typos.toml
  • .clang-format
  • .clang-tidy
  • .cmake-format.py
  • .dockerignore
  • .editorconfig
    Good: Linter or formatter configured (.editorconfig).
  • .gitignore
    Good: .gitignore present.
  • .gitmodules
  • .pre-commit-config.yaml
  • .yamlfmt
  • AUTHORS.md
  • CMakeLists.txt
  • CODE_OF_CONDUCT_cn.md
  • CODE_OF_CONDUCT.md
    Good: Code of conduct present.
  • CONTRIBUTING.md
    Good: Contributing guide is detailed and thorough.
    Good: Contributing guide includes setup/install instructions.
    Good: Contributing guide describes code style expectations.
    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.
    Good: Contributing guide includes code examples.
  • LICENSE
    Good: Licensed under Apache-2.0.
  • pyproject.toml
    Good: Dependency manifest found (pyproject.toml).
  • README_cn.md
    Good: 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.
    Good: README documents how to install the project.
    Good: README documents how to run the project.
  • README_ja.md
  • README.md
  • RELEASE.md
  • SECURITY_cn.md
  • SECURITY_ja.md
  • SECURITY.md
    Good: Security policy present.
  • setup.py
  • sgconfig.yml
  • version.txt
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