lightseekorg/torchspec

0

/ 100

Documentation93
Engineering63
Health93
Python170MIT1d ago
Grade a repo

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

A PyTorch native library for training speculative decoding models

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