Open‑source library providing fast SIMD‑accelerated implementations of similarity and distance computations (e.g., vector inner products and distances), serving as an efficient alternative to scipy.spatial.distance and numpy.inner for vector search and vector database workloads.
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SimSIMD
SimSIMD is an open‑source, SIMD‑accelerated library for fast similarity and distance computations on vectors. It targets use cases such as vector search, vector databases, and high‑performance numerical workloads, providing a faster alternative to libraries like scipy.spatial.distance and numpy.inner.
f64, f32, f16, real & complex, i8, and bit vectorsinclude and c directories)SIMD‑Accelerated Operations
Data Type Support
f64, f32, f16i8Multi‑Language Bindings
Cross‑Platform / Cross‑Architecture Design
Open‑Source & Integration‑Friendly
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