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

OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

Documentation

85

Contributing guide5pt61

Contributing guide is too short for full depth credit (−6 pts). 400+ words earns the full +12 pts.

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

README12pt85

README is present.

Install and run instructions9pt90

README documents how to install the project.

License6pt100

Licensed under Apache-2.0.

Engineering

86

Tests18pt80

Test files detected (demo/java_quickstart/demo/src/test).

Reproducibility6pt80

Lockfile present (package-lock.json). Installs are reproducible.

CI/CD14pt85

CI is configured (.github/workflows/cicd.yaml).

Linting and formatting5pt100

Linter or formatter configured (.prettierrc.yml).

Issue and PR templates6pt100

Issue or PR templates present.

Project health

100

Dependency manifest6pt100

Dependency manifest found (package.json).

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)
  • 330
    Forks
  • 43
    Releaseslatest 4y ago

Community

  • Community health
  • authors own >50% of commits
  • 1,690
    Watchers

Responsiveness

  • 18h
    Median issue response
  • 19h
    Median PR merge time
  • 409
    Open issues
Repository files46 root entries
  • .devcontainer
    Good: Environment pinned via .devcontainer/Dockerfile.
  • .github
    Good: CI is configured (.github/workflows/cicd.yaml).
    Good: Issue or PR templates present.
  • benchmark
  • cases
  • contrib
  • demo
    Good: Test files detected (demo/java_quickstart/demo/src/test).
  • docker
  • docs
  • extensions
  • go
  • hybridse
  • images
  • include
  • java
  • kubernetes
  • monitoring
  • onebox
  • python
  • release
  • src
  • steps
  • test
  • third-party
  • tools
  • .clang-format
  • .clang-tidy
  • .gitignore
    Good: .gitignore present.
  • .gitmodules
  • .gitpod.yml
  • .prettierrc.yml
    Good: Linter or formatter configured (.prettierrc.yml).
  • .style.yapf
  • CHANGELOG.md
  • cmake-modules
  • CMakeLists.txt
  • codecov.yml
  • commitlint.config.js
  • CONTRIBUTING.md
    Issue: Contributing guide is too short for full depth credit (−6 pts). 400+ words earns the full +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).
    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.
  • CPPLINT.cfg
  • LICENSE
    Good: Licensed under Apache-2.0.
  • MAINTAIN.md
  • Makefile
  • package-lock.json
    Good: Lockfile present (package-lock.json). Installs are reproducible.
  • package.json
    Good: Dependency manifest found (package.json).
  • pylintrc
  • 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.md