High-performance coordinate and kinematics engine for bounded spatial tracking data.
Project description
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.
# Create the virtual environment (Python pin lives in .python-version)
uv venv
# Install build tooling and compile the Rust extension in-place
uv pip install "maturin>=1.9,<2.0"
.venv/bin/maturin develop
# Verify the install
.venv/bin/python -c "import kinemax; print(kinemax.version())"
License
MIT
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