Simple, fast and best served cold
Project description
Gaspatchio (Python)
The Python package for Gaspatchio — a high-performance actuarial modeling framework. You write models in Python that read like spreadsheet formulas, and a Rust + Polars engine runs them over millions of model points.
📖 Documentation, tutorials, and full API + CLI reference → gaspatchio.dev
Install
pip install gaspatchio # or: uv pip install gaspatchio
Then import gaspatchio_core. For a source/dev build, see Building from source.
Quick start
from gaspatchio_core import ActuarialFrame
from gaspatchio_core.assumptions import Table
# 1. Load assumption tables (registered + optimized by the Rust engine)
mortality = Table(
name="mortality",
source="data/mortality.parquet",
dimensions={"age": "age", "gender": "sex"},
value="rate",
)
# 2. Define the model — the formula IS the code
def projection(af: ActuarialFrame) -> ActuarialFrame:
af.attained_age = af.dob.excel.yearfrac(af.val_date) + af.t # Excel-compatible date maths
af.qx = mortality.lookup(age=af.attained_age, gender=af.gender) # vectorized lookup
af.pols_if = af.pols_start * (1 - af.qx - af.lapse_rate) # vectorized projection
return af
# 3. Run (millions of model points supported)
af = ActuarialFrame(data="model_points.parquet")
result = projection(af).collect()
New here? The tutorials build from hello-world to a lifelib-reconciled model and on to scenarios.
CLI: gspio
Run models from the command line:
gspio run-model model.py model-points.parquet # run all policies
gspio run-single-policy model.py model-points.parquet 12345 # debug one policy (transposed output)
gspio run-model model.py data.parquet --mode optimize # optimized execution
gspio --install-completion # shell tab-completion
--policy-id-columnsets the policy-identifier column (default"Policy number").--mode {debug,optimize}plus display flags (--rows/-r,--first-n/-f,--last-n/-l,--start-at/-s) control execution and terminal output.
Full CLI reference, with every flag and the single-policy result transposition → gaspatchio.dev.
Building from source
The Rust extension is built with maturin. uv sync builds in debug
mode (fast compiles); use --release for benchmarking/production:
uv sync # debug build, into the venv
maturin build --release -uv # optimized build
RUSTFLAGS="-C target-cpu=native" maturin build --release -uv # + native SIMD (AVX2/512)
target-cpu=native binaries only run on CPUs with the same or newer instruction sets — use them
for local benchmarking, not for distributable packages or CI builds.
Testing
uv run pytest # tests + docstring-example validation
uv run python -m mypy.stubtest gaspatchio_core --allowlist stubtest-allowlist.txt --mypy-config-file mypy-stubtest.ini
Public-API docstrings carry examples validated against their output. The docstring/style tooling
and contributor coding standards live in AGENTS.md.
Learn more
- 📖 Documentation — guides, tutorials, full API + CLI reference
- 🦀 Rust engine — the core that powers this package
- 🏠 Project overview
Project details
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