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Community & Open-Source Contributions

We welcome open-source contributions, bug reports, feature requests, and research collaborations!

How to Contribute

  1. Fork the Repository: Create your feature branch from main.
  2. Setup Pre-commit Hooks: 
    uv run pre-commit install
  3. Write Tests & Docstrings: Ensure code changes pass linting (uv run ruff check .) and unit tests (uv run pytest tests/unit).
  4. Submit a Pull Request: Open a PR describing your proposed changes.

Code of Conduct & Anti-Discrimination

We stand firmly against all forms of racism, discrimination, harassment, and inequality. Science and technology thrive when everyone can participate safely, equitably, and with dignity. We are committed to providing a welcoming, inclusive, and harassment-free environment for all research contributors.

Free Science & Open Access Pledge

We stand in solidarity with researchers, scientists, and students worldwide affected by financial cuts, institutional constraints, or prohibitive paywalls:

  • Open Access: We support publishing papers, code, and datasets in freely accessible ways.
  • Democratizing Tools: We build open-source tools to ensure research capabilities remain accessible to all labs regardless of budget.

AI & Agentic Coding in Research: Ethics & Deontology

Artificial Intelligence and Agentic Coding tools are transformative amplifiers of scientific productivity—streamlining software engineering, automating boilerplate setup, and allowing scientists to focus on core domain innovation.

However, technology serves as an amplifier of human intent, not a substitute for scientific responsibility:

  • Human Accountability: Authors and researchers remain fully accountable for their code correctness, mathematical proofs, experimental results, and published conclusions.
  • Scientific Rigor & Deontology: AI-generated code, algorithms, and analytical pipelines must be thoroughly audited, verified, and validated against empirical ground truth.
  • Transparency & Attribution: We advocate for open declaration of AI assistance in code repositories and manuscripts, upholding the highest standards of academic honesty, reproducibility, and scientific ethics.