Goabaone Sehurutshe

Open source

Projects

Open source Python tools for actuarial and insurance data work. Each one is MIT licensed, tested, and looking for contributors, whether you're an actuary, a data engineer or a student.

Active · Reinsurance · Risk Modelling

specinsure

A Python toolkit for simulating specialty insurance losses and the reinsurance structures that protect them, using transparent Monte Carlo methods.

  • Python
  • NumPy
  • SciPy
  • Monte Carlo

Active · Reserving · Actuarial

loss-modelling

Claims development triangles, chain ladder projections and Mack reserve uncertainty in plain, readable Python, validated against published benchmarks.

  • Python
  • pandas
  • Chain Ladder
  • Mack

Active · Data Engineering · Insurance

insurance-data-pipeline

Map, validate and standardise insurance bordereaux: canonical schemas, per-source column mappings, row level issue reports and synthetic test data.

  • Python
  • pandas
  • Data Quality
  • Bordereaux

How to contribute

  1. Pick a project

    Read its README and roadmap to see where it is heading.

  2. Find an issue

    Issues labelled good first issue are scoped for newcomers. Comment to claim one.

  3. Open a pull request

    Follow the contributing guide. Every PR runs tests and linting automatically.

Have an idea that isn't on a roadmap? Open an issue on the repository or get in touch.