Performance

Run quantitative workloads efficiently, from compiled array operations to portfolio simulation. Explore NumPy, Numba, and Rust computation alongside chunking, caching, and parallel execution. These pages distinguish the underlying compute backends from the methods used to scale and reuse work.

features/performance pages

Compute backends

Run quantitative workloads with NumPy, Numba, and native Rust backends

Parallel execution and caching

Scale and reuse computation with chunking, caching, threads, and processes

Start here

See the Rust documentation for the native backend and the Benchmarks for measured performance examples.