mlc-ai/pith-train
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/ 100

GradeC

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

Top 35% of 5,156 graded repos

Compact and Agent-Native MoE Training System

Documentation93
Engineering62
Health93
Python202Apache-2.01mo ago

Top fixes

Highest-impact changes first, ranked by point weight

14 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.

License6pt100

Licensed under Apache-2.0.

Contributing guide5pt100

Contributing guide is detailed and thorough.

Engineering

62

Reproducibility6pt0

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.

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.

CI/CD14pt72

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

Tests18pt85

Test files detected (.agents/skills/add-new-model/templates/inference_test.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)
  • 17
    Forks
  • 3
    Releaseslatest 2mo ago

Community

  • -
    Community health
  • -
    authors own >50% of commits
  • 202
    Watchers

Responsiveness

  • <1h
    Median issue response
  • 2h
    Median PR merge time
  • 2
    Open issues
Repository files18 root entries
  • .agents
    Good: Test files detected (.agents/skills/add-new-model/templates/inference_test.py).
  • .claude
  • .github
    Good: CI is configured (.github/workflows/precommit-check.yml).
  • benchmarks
  • docs
  • examples
  • pithtrain
  • tests
  • tools
  • .gitignore
    Good: .gitignore present.
  • .pre-commit-config.yaml
  • AGENTS.md
  • CLAUDE.md
  • CONTRIBUTING.md
    Good: Contributing guide is detailed and thorough.
    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.
  • LICENSE
    Good: Licensed under Apache-2.0.
  • NOTICE
  • 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.
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