brycewang-stanford/statspaiNew scan
99/ 100 · A

Polished and well engineered. Punching above its star count.

StatsPAI is the first Agent-native Python library for causal inference and applied econometrics — unified API, broad cross-method coverage, structured result objects, machine-readable schemas, an MCP server, and R/Stata parity validation.

Python243 starsMITupdated today

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

DocumentationREADME, setup, examples, license
97
EngineeringTests, CI, linting, lockfiles
99
Project healthDescription, activity, stars, deps
100

What to fix first

The highest-impact improvements for this repo.

  1. 1
    Install and run instructions
    DocumentationIssue

    Add a .env.example listing all required environment variables so contributors know what to set up.

  2. 2
    Reproducibility
    EngineeringIssue

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

Detailed breakdown

Documentation

97
  • README100
    • README is present.
    • README is well structured with multiple sections.
    • README includes screenshots or visuals. Great for first impressions.
    • README has code examples.
    • README links to a live demo or deployed app.
    • README includes status badges.
  • Install and run instructions90
    • README documents how to install the project.
    • README documents how to run the project.
    • No .env.example found (−10 pts).Add a .env.example listing all required environment variables so contributors know what to set up.
  • License100
    • Licensed under MIT.
  • Contributing guide100
    • Contributing guide is detailed and thorough.
    • Contributing guide includes setup/install instructions.
    • Contributing guide describes code style expectations.
    • Contributing guide explains how to run tests.
    • Contributing guide describes the PR/review workflow.
    • Contributing guide includes code examples.
    • Code of conduct present.

Engineering

99
  • Tests100
    • Test files detected (src/statspai/diagnostics/late_test.py).
    • Pytest is fully configured in pyproject.toml with testpaths and test files detected.
  • CI/CD100

    Not applicable?

    • CI is configured (.github/workflows/build-wheels.yml).
    • CI workflow runs tests.
    • CI runs on pull requests, not just on pushes to main.
    • CI workflow runs a lint or format check.
    • CI runs type checking (tsc, mypy, cargo check, etc.).
    • CI reports or uploads test coverage.
    • CI caches dependencies for faster runs.
    • CI tests across multiple environments or versions.
  • Linting and formatting100
    • Linter or formatter configured (.flake8).
  • Reproducibility90
    • Lockfile present (rust/statspai_hdfe/Cargo.lock). Installs are reproducible.
    • No Dockerfile or runtime version pin found. Adding one earns +10 pts.Add a Dockerfile, .nvmrc, or .python-version to pin the runtime version and make the environment reproducible.
    • Dependabot covers 3 ecosystems (pip, github-actions, cargo). Dependencies stay current.
  • Issue and PR templates100
    • Issue or PR templates present.
    • Security policy present.

Project health

100
  • Dependency manifest100
    • Dependency manifest found (pyproject.toml).
    • pyproject.toml has a [project] table with package metadata.
    • pyproject.toml includes a description.
    • pyproject.toml specifies requires-python, preventing installs on incompatible versions.
    • pyproject.toml has a [build-system] table. The package can be built and published.
  • Repository metadata100
    • Repository has a description.
    • Primary language detected: Python.
    • pyproject.toml [project] metadata is complete (description, authors, urls).
  • Activity100
    • Actively maintained (pushed within the last month).
    • 243 stars.
  • Housekeeping100
    • .gitignore present.

Repository health signals

Activity, community, and responsiveness at scan time

Activity

  • —
    Commits (30d / 90d)
  • 44
    Forks
  • 26
    Releaseslatest 2mo ago

Community

  • —
    Community health
  • —
    authors own >50% of commits
  • 243
    Watchers

Responsiveness

  • 6h
    Median issue response
  • <1h
    Median PR merge time
  • 3
    Open issues
Repository files43 root entries
  • .cov_decomp
  • .coverage_campaign
  • .examples_campaign
  • .github
    Good: CI is configured (.github/workflows/build-wheels.yml).
    Good: Dependabot covers 3 ecosystems (pip, github-actions, cargo). Dependencies stay current.
    Good: Issue or PR templates present.
  • .tier_eg_campaign
  • .tierd_campaign
  • benchmarks
  • docs
  • examples
  • papers
  • plans
  • rust
    Good: Lockfile present (rust/statspai_hdfe/Cargo.lock). Installs are reproducible.
  • schemas
  • scripts
  • specs
  • src
    Good: Test files detected (src/statspai/diagnostics/late_test.py).
  • StatsPAI_full_data_analysis_skill
  • test-notebooks
  • tests
  • tools
  • .codespellrc
  • .flake8
    Good: Linter or formatter configured (.flake8).
  • .gitignore
    Good: .gitignore present.
  • .pre-commit-config.yaml
  • .zenodo.json
  • CHANGELOG_GITHUB.md
  • CHANGELOG.md
  • CITATION.cff
  • 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.
  • CONTRIBUTORS.md
  • LICENSE
    Good: Licensed under MIT.
  • MANIFEST.in
  • MIGRATION.md
  • mkdocs.yml
  • paper.bib
  • paper.md
  • pyproject.toml
    Good: Dependency manifest found (pyproject.toml).
  • README_CN.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.
  • README.md
  • SECURITY.md
    Good: Security policy present.
  • SUPPORT.md
  • test_results_full_suite.md