0

/ 100

GradeC

Good shape overall. A few tweaks would push it into the top tier.

Top 35% of 5,156 graded repos

A PyTorch native library for training speculative decoding models

Top fixes

Highest-impact changes first, ranked by point weight

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

  4. 4
    CI/CD14pt

    Upload coverage to Codecov, Coveralls, or report it with `--coverage` flags.

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Scorecard

Every check, grouped by category and sorted worst-first

Documentation

93

README12pt90

README is present.

Install and run instructions9pt90

README documents how to install the project.

Contributing guide5pt94

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.

License6pt100

Licensed under MIT.

Engineering

63

Issue and PR templates6pt0

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.

Reproducibility6pt10

No dependency lockfile found (−70 pts).

Commit poetry.lock, uv.lock, pdm.lock, Pipfile.lock, conda-lock.yml, or another lockfile for your Python dependency manager.

CI/CD14pt72

CI is configured (.github/workflows/lint.yml).

Tests18pt85

Test files detected (conftest.py).

Linting and formatting5pt100

Linter or formatter configured ([tool.ruff] / [tool.black] in pyproject.toml).

Project health

93

Dependency manifest6pt78

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

  • -
    Commits (30d / 90d)
  • 40
    Forks
  • 0
    Releases

Community

  • -
    Community health
  • -
    authors own >50% of commits
  • 170
    Watchers

Responsiveness

  • 5d 2h
    Median issue response
  • <1h
    Median PR merge time
  • 12
    Open issues
Repository files22 root entries
  • .github
    Good: CI is configured (.github/workflows/lint.yml).
  • configs
  • docker
    Good: Environment pinned via docker/sglang/v0.5.10.post1/Dockerfile.
  • docs
  • examples
  • patches
  • scripts
  • skills
  • tests
  • tools
  • torchspec
  • .dockerignore
  • .gitignore
    Good: .gitignore present.
  • .pre-commit-config.yaml
  • conftest.py
    Good: Test files detected (conftest.py).
  • 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.
    Good: Contributing guide includes setup/install instructions.
    Good: Contributing guide describes code style expectations.
    Good: Contributing guide explains how to run tests.
    Good: Contributing guide describes the PR/review workflow.
    Good: Contributing guide includes code examples.
  • environment.yml
  • LICENSE
    Good: Licensed under MIT.
  • 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.
    Issue: No status badges in the README (−10 pts).Fix: Add CI/build status badges from shields.io or your CI provider to signal project health.
    Good: README documents how to install the project.
    Good: README documents how to run the project.
  • THIRDPARTYNOTICES
  • version.txt
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