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SimSIMD Alternatives
Similar projects and alternatives to SimSIMD
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Stream
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Apache Arrow
Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
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simdjson
Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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AI-on-the-edge-device
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usearch
Fast Open-Source Search & Clustering engine × for Vectors & Arbitrary Objects × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
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StringZilla
Up to 10x faster strings for C, C++, Python, Rust, Swift & Go, leveraging NEON, AVX2, AVX-512, SVE, & SWAR to accelerate search, hashing, sort, edit distances, and memory ops 🦖
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less_slow.cpp
Playing around "Less Slow" coding practices in C++ 20, C, CUDA, PTX, & Assembly, from numerics & SIMD to coroutines, ranges, exception handling, networking and user-space IO
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uform
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kuzu
Embedded property graph database built for speed. Vector search and full-text search built in. Implements Cypher.
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laser
The HPC toolbox: fused matrix multiplication, convolution, data-parallel strided tensor primitives, OpenMP facilities, SIMD, JIT Assembler, CPU detection, state-of-the-art vectorized BLAS for floats and integers (by mratsim)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better SimSIMD alternative or higher similarity.
SimSIMD discussion
SimSIMD reviews and mentions
Posts with mentions or reviews of SimSIMD.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-07-05.
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The messy reality of SIMD (vector) functions
Here's an explanation from one of my repos: <https://github.com/ashvardanian/simsimd?tab=readme-ov-file#d...>
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Show HN: Less Slow C++
You can always get more accuracy by expanding those 3 lines to handle more of the Taylor components… but it’s important to remember that this is still educational material.
You can find more complete examples in my SimSIMD (https://github.com/ashvardanian/SimSIMD), but they also often assume that at a certain part of a kernel, a floating point number is guaranteed to be in a certain range. This can greatly simplify the implementation for kernels like Atan2. For general-purpose inputs, go to SLEEF (https://sleef.org). Just remember that every large, complicated optimization starts with a small example.
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How to Implement a Cosine Similarity Function in TypeScript
It’s a nice post, but “using array methods” probably shouldn’t be placed in the “Efficient Implementation” section. As it often happens with high-level languages, a single plain old loop is faster that three array methods.
Similarly, if you plan to query those vectors in search, you should consider continuous `TypedArray` types, and smaller scalars, than the double precision `number`.
I know very little about JS, but some of the amazing HackerNews community members have previously helped port SimSIMD to JavaScript (https://github.com/ashvardanian/SimSIMD), and I wrote a blogpost covering some of those JS/TS-specifics, NumJS, and MathJS in 2023 (https://ashvardanian.com/posts/javascript-ai-vector-search/).
Hopefully it should help unlock another 10-100x in performance
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A not so fast implementation of cosine similarity in C++ and SIMD
Arch specific similarity functions in SIMD, with bindings in Python and other languages:
https://github.com/ashvardanian/SimSIMD
- HPy – A better C API for Python
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How does cosine similarity work?
SciPy distances module has its own problems. It's pretty slow, and constantly overflows in mixed precision scenarios. It also raises the wrong type of errors when it overflows, and uses general purpose `math` package instead of `numpy` for square roots. So use it with caution.
I've outlined some of the related issues here: https://github.com/ashvardanian/SimSIMD#cosine-similarity-re...
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SIMD-accelerated computer vision on a $2 microcontroller
SimSIMD https://github.com/ashvardanian/SimSIMD :
> Up to 200x Faster Inner Products and Vector Similarity — for Python, JavaScript, Rust, C, and Swift, supporting f64, f32, f16 real & complex, i8, and binary vectors using SIMD for both x86 AVX2 & AVX-512 and Arm NEON & SVE
https://news.ycombinator.com/item?id=37808036
- Deep Learning in JavaScript
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From slow to SIMD: A Go optimization story
For other languages (including nodejs/bun/rust/python etc) you can have a look at SimSIMD which I have contributed to this year (made recompiled binaries for nodejs/bun part of the build process for x86_64 and arm64 on Mac and Linux, x86 and x86_64 on windows).
[0] https://github.com/ashvardanian/SimSIMD
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Python, C, Assembly – Faster Cosine Similarity
Kahan floats are also commonly used in such cases, but I believe there is room for improvement without hitting those extremes. First of all, we should tune the epsilon here: https://github.com/ashvardanian/SimSIMD/blob/f8ff727dcddcd14...
As for the 64-bit version, its harder, as the higher-precision `rsqrt` approximations are only available with "AVX512ER". I'm not sure which CPUs support that, but its not available on Sapphire Rapids.
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A note from our sponsor - InfluxDB
www.influxdata.com | 11 Jul 2025
Stats
Basic SimSIMD repo stats
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1,411
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about 1 month ago
ashvardanian/SimSIMD is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of SimSIMD is C.
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