jd-opensource/xllm
Grade a repo

81

/ 100

GradeB

Good community traction and solid fundamentals. Nearly in the top tier.

Top 30% of 5,156 graded repos

A high-performance inference engine for LLM, VLM, DiT and REC models, optimized for diverse AI accelerators.

Documentation93
Engineering66
Health100
C++1,370Apache-2.01mo ago

Top fixes

Highest-impact changes first, ranked by point weight

11 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

93

Contributing guide5pt72

CONTRIBUTING guide found.

Install and run instructions9pt90

README documents how to install the project.

README12pt100

README is present.

License6pt100

Licensed under Apache-2.0.

Engineering

66

Linting and formatting5pt0

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.

CI/CD14pt57

CI is configured (.github/workflows/build_x86_64_cuda.yaml).

Reproducibility6pt70

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

Tests18pt80

Test files detected (tests).

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 / 342
    Commits (30d / 90d)
  • 240
    Forks
  • 8
    Releaseslatest 3mo ago

Community

  • 62% - Fair
    Community health
  • 8 bus factor
    authors own >50% of commits
  • 1,370
    Watchers

Responsiveness

  • 5h
    Median issue response
  • 2h
    Median PR merge time
  • 162
    Open issues
Repository files31 root entries
  • .agents
  • .claude
  • .gemini
  • .github
    Good: CONTRIBUTING guide found.
    Issue: CONTRIBUTING guide contents could not be read (−28 pts vs a readable file).Fix: Move the file to the repo root or docs/CONTRIBUTING.md so its setup, style, test, and PR sections can be graded.
    Good: CI is configured (.github/workflows/build_x86_64_cuda.yaml).
    Good: Issue or PR templates present.
  • cibuild
  • cmake
  • docker
  • docs
    Good: Lockfile present (docs/requirements.txt). Installs are reproducible.
  • examples
  • scripts
  • tests
    Good: Test files detected (tests).
  • third_party
  • tools
  • xllm
  • .clang-format
  • .gitignore
    Good: .gitignore present.
  • .gitmodules
  • .pre-commit-config.yaml
  • AGENTS.md
  • CLAUDE.md
  • CMakeLists.txt
  • LICENSE
    Good: Licensed under Apache-2.0.
  • MANIFEST.in
  • mkdocs_en.yml
  • mkdocs_zh.yml
  • 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
  • THIRDPARTYNOTICES.md
  • vcpkg.json
  • version.txt
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