# SimSIMD

> 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.

- **URL:** https://github.com/ashvardanian/SimSIMD
- **Category:** sdks-libraries
- **Tags:** Similarity Search, optimization, vector-processing
- **Updated:** 2025-12-25 16:52
- **Canonical page:** https://vectordb.ever.works/de/items/simsimd

## Details

## Overview
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`.

## Key Capabilities
- Implements dot products and similarity metrics
- Supports multiple numeric types: `f64`, `f32`, `f16`, real & complex, `i8`, and bit vectors
- SIMD acceleration across multiple CPU instruction sets: AVX2, AVX‑512, NEON, SVE, and SVE2
- Achieves large speedups (reported up to ~200x) over naïve or non‑SIMD implementations for inner products and distances
- Designed for integration into vector search and vector database pipelines

## Language & Platform Support
- Core implementation in C / C++ (via `include` and `c` directories)
- Bindings / integrations for multiple languages:
  - Python
  - Rust
  - JavaScript
  - Swift
  - Go (Golang)

## Features
- **SIMD‑Accelerated Operations**  
  - Vector inner products (dot products)  
  - Similarity and distance metrics for numerical vectors  
  - Optimized kernels per CPU architecture (AVX2, AVX‑512, NEON, SVE, SVE2)

- **Data Type Support**  
  - Floating‑point: `f64`, `f32`, `f16`  
  - Real and complex numbers  
  - Integer: `i8`  
  - Bit vectors

- **Multi‑Language Bindings**  
  - Python package for numerical workloads and vector search pipelines  
  - Rust crate for systems and performance‑critical applications  
  - JavaScript bindings for web or Node.js environments  
  - Swift bindings for Apple platforms  
  - Go bindings for Go‑based services

- **Cross‑Platform / Cross‑Architecture Design**  
  - Portable SIMD abstractions targeting multiple CPU instruction sets  
  - Suitable for x86 and ARM ecosystems (via AVX*, NEON, SVE, SVE2)

- **Open‑Source & Integration‑Friendly**  
  - Source available on GitHub  
  - Modular layout with language‑specific folders for easier integration  
  - Apache‑2.0 license for permissive use in open‑source and commercial projects

## License
- **Apache‑2.0**

## Pricing
- SimSIMD is an open‑source library under the Apache‑2.0 license and is free to use. No pricing plans are listed.

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