kand

Leverages Rust's efficiency to achieve speeds rivaling or exceeding TA-Lib, as demonstrated in the EMA performance comparison chart in the README.

Enables seamless parallel processing across multiple cores by releasing the Python GIL, overcoming TA-Lib's single-threaded limitations for large-scale computations.

Supports O(1) complexity incremental calculations for streaming data, ideal for low-latency applications like trading systems, as shown with ema_inc functions.

Provides native, zero-copy data sharing between Python and Rust via PyO3 bindings, reducing memory overhead and enabling ultra-low latency operations.