flytohub/flyto-core
Grade a repo

99

/ 100

GradeA

Polished and well engineered. Punching above its star count.

Top 2% of 5,156 graded repos

The open-source execution engine for AI agents. 412 modules, MCP-native, triggers, queue, versioning, metering.

Documentation100
Engineering99
Health100
Python320Apache-2.01mo ago

Outstanding. A score of 99/100 puts this repo in a very small tier of truly well-engineered projects.

Top fixes

Highest-impact changes first, ranked by point weight

1 to address
  1. 1
    Reproducibility6pt

    Add additional package-ecosystem entries (especially github-actions) to keep all dependencies current.

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Scorecard

Every check, grouped by category and sorted worst-first

Documentation

100

README12pt100

README is present.

Install and run instructions9pt100

README documents how to install the project.

License6pt100

Licensed under Apache-2.0.

Contributing guide5pt100

Contributing guide is detailed and thorough.

Engineering

99

Reproducibility6pt92

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

Tests18pt100

Test files detected (examples/happy-test/test_figma.py).

CI/CD14pt100

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

Linting and formatting5pt100

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

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

  • -
    Commits (30d / 90d)
  • 58
    Forks
  • 5
    Releaseslatest 2mo ago

Community

  • 87% - Good
    Community health
  • 1 bus factorlow
    author own >50% of commits
  • 320
    Watchers

Responsiveness

  • 15h
    Median issue response
  • 3d 19h
    Median PR merge time
  • 0
    Open issues
Repository files47 root entries
  • .flyto
  • .github
    Good: CI is configured (.github/workflows/ci.yml).
    Good: Dependabot configured for pip.
    Good: Issue or PR templates present.
  • audit_report
  • demo
  • docs
  • examples
    Good: Test files detected (examples/happy-test/test_figma.py).
  • handoffs
  • out
  • plugin-template
  • scripts
  • src
  • tests
  • workflows
  • .dockerignore
  • .env.example
  • .flyto-rules.yaml
  • .gitignore
    Good: .gitignore present.
  • AGENTS.md
  • ARCHITECTURE.md
  • CHANGELOG.md
  • CLAUDE.md
  • CODE_OF_CONDUCT.md
    Good: Code of conduct present.
  • 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.
  • DECISIONS.md
  • demo.gif
  • demo.py
  • demo.tape
  • Dockerfile
    Good: Environment pinned via Dockerfile.
  • Dockerfile.verification
  • LICENSE
    Good: Licensed under Apache-2.0.
  • MANIFEST.in
  • NOTICE
  • PROJECT.md
  • 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.
  • registry.json
  • requirements-integrations.txt
  • requirements.lock
  • requirements.txt
    Good: Lockfile present (requirements.txt). Installs are reproducible.
  • ROADMAP.md
  • run_demo.sh
  • run.py
  • SECURITY.md
    Good: Security policy present.
  • server.json
  • setup.py
  • STATE.md
  • tasks.md
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