Kinemax

Summary: Kinemax is a high-performance spatial-temporal computing engine designed for analyzing high-frequency coordinate and kinematics tracking data. "A local-first execution runtime for fixed-cardinality spatiotemporal entity systems."

The Vision

Whether tracking player telemetry on a sports field, monitoring mobile entities within fixed boundaries, or processing continuous $X,Y,Z$ positional vectors over time, Kinemax provides a lightweight, local-first framework optimized for rapid geometric and physical calculations. Built with a low-dependency Rust core and paired with an idiomatic Python API, it bridges the gap between systems-level execution speed and rapid data-science workflows.

Note: This package is currently in active pre-alpha development. The namespace is reserved as the underlying architecture is being established.

Quick Start (Development)

Requires uv and a working Rust toolchain.

# One-shot setup: creates .venv, installs maturin, builds and installs kinemax
uv sync

# Verify the install
uv run python -c "import kinemax; print(kinemax.version())"

After editing src/lib.rs, rebuild with:

uv run maturin develop

License

MIT