lumiwealth/lumibot
Grade a repo

0

/ 100

GradeB

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

Top 28% of 5,156 graded repos

Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.

Documentation88
Engineering77
Health86
Python1,688GPL-3.01mo ago

Top fixes

Highest-impact changes first, ranked by point weight

13 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
    Reproducibility6pt

    Add a Dockerfile, .nvmrc, or .python-version to pin the runtime version and make the environment reproducible.

  3. 3
    Reproducibility6pt

    Add .github/dependabot.yml with at least one package-ecosystem entry so dependencies are updated automatically.

  4. 4
    Issue and PR templates6pt

    Add .github/ISSUE_TEMPLATE/ with bug_report.md and feature_request.md to guide contributors. It dramatically improves issue quality.

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Scorecard

Every check, grouped by category and sorted worst-first

Documentation

88

Contributing guide5pt25

Contributing guidance is in the README, not a dedicated CONTRIBUTING.md (−20 pts).

→ Moving it to a CONTRIBUTING.md makes it easier to find and keeps the README focused. A dedicated file earns +47 pts base.

README12pt100

README is present.

Install and run instructions9pt100

README documents how to install the project.

License6pt100

Licensed under GPL-3.0.

Engineering

77

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.

Reproducibility6pt70

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

Tests18pt80

Test files detected (lumibot/example_strategies/test_broker_functions.py).

CI/CD14pt100

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

Linting and formatting5pt100

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

Project health

86

Dependency manifest6pt55

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)
  • 327
    Forks
  • 65
    Releaseslatest 5mo ago

Community

  • -
    Community health
  • -
    authors own >50% of commits
  • 1,688
    Watchers

Responsiveness

  • 1d 8h
    Median issue response
  • <1h
    Median PR merge time
  • 78
    Open issues
Repository files33 root entries
  • .github
    Good: CI is configured (.github/workflows/cicd.yaml).
  • .secrets
  • data
  • docs
  • docsrc
  • examples
  • lumibot
    Good: Test files detected (lumibot/example_strategies/test_broker_functions.py).
  • reports
  • scripts
  • tests
  • .env.local.example
  • .gitattributes
  • .gitignore
    Good: .gitignore present.
  • .mailmap
  • AGENTS.md
  • CHANGELOG.md
  • CLAUDE.md
  • context7.json
  • coverage.svg
  • funding.json
  • LICENSE
    Good: Licensed under GPL-3.0.
  • llms-full.txt
  • llms.txt
  • MANIFEST.in
  • pylintrc
  • 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.
  • requirements_dev.txt
  • requirements.txt
    Good: Lockfile present (requirements.txt). Installs are reproducible.
  • run_cache_validation.sh
  • setup.cfg
  • setup.py
  • uv.lock
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