# Performance (/features/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.

*   [Compute backends](/features/performance/compute-backends): Run quantitative workloads with NumPy, Numba, and native Rust backends
*   [Parallel execution and caching](/features/performance/parallel-execution-and-caching): Scale and reuse computation with chunking, caching, threads, and processes

## Start here \[#start-here]

See the [Rust documentation](/documentation/rust/) for the native backend and the
[Benchmarks](/documentation/benchmarks/) for measured performance examples.