Simultaneous Kalman Filters

simdkalman provides Kalman filters vectorized as Single Instruction, Multiple Data, enabling efficient processing of multiple independent time series simultaneously. It is designed for performance when dealing with large numbers of parallel Kalman filter estimations. The library is actively maintained and currently at version 1.0.4, with a stable release cadence focused on performance and bug fixes.