uncomplicate/neanderthal

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1128 stars · 61 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Neanderthal is a fast Clojure library for matrix and linear algebra computations built on optimized native BLAS and LAPACK routines, supporting both CPU and GPU (CUDA, OpenCL) engines. It offers a Clojure-idiomatic API with pluggable engines, including a pure Java fallback.

Use cases

• fast matrix multiplication in Clojure
• GPU-accelerated linear algebra on the JVM
• solve linear systems with LAPACK from Clojure
• matrix factorization and decompositions
• high-performance numerical computing in Clojure
• vectorized math operations on large vectors and matrices

When to choose

• you need native-speed BLAS/LAPACK performance from Clojure
• you want to run linear algebra on AMD, Nvidia, or Intel GPUs
• pure Java math libraries are too slow for your workload
• you want a Clojure-idiomatic API over decades-standardized BLAS/LAPACK routines

When to avoid

• you need a pure-Java, dependency-free solution
• your project is not on the JVM/Clojure
• you only need simple, small-scale matrix math where native bindings add complexity

Facets

library · maturity active

math gpu-computing machine-learning data-science performance jvm jvm-scripting windows linear-algebra blas lapack matrix opencl cuda clojure high-performance-computing algorithms linux macos gpu

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