Neanderthal
Neanderthal provides native matrix and linear algebra operations for Clojure.
About Neanderthal
Neanderthal provides matrix and linear algebra operations for Clojure using native BLAS and LAPACK with CPU and GPU execution. It includes factorizations, solvers, and primitive map and reduce operations, with pluggable engines including a pure Java option.
It supports GPU use on AMD, Nvidia, and Intel hardware, including Mac OSX, and can be used with existing BLAS and LAPACK-based books, articles, and tutorials.
Key features
- Native CPU matrix and linear algebra operations for Clojure
- GPU computation support for AMD, Nvidia, and Intel hardware
- LAPACK factorizations and solvers
- Primitive versions of map and reduce for numeric work
- Pluggable engine implementations including pure Java option
- Clojure interface compatible with BLAS and LAPACK literature
Best for: Clojure developers who need native BLAS, LAPACK, and GPU-based matrix computation.
Good for
- Works on CPU and GPU across AMD, Nvidia, and Intel hardware
- Uses established BLAS and LAPACK standards for computation
- Offers pluggable engines, including a pure Java option
Neanderthal at a glance
- Website
- neanderthal.uncomplicate.org
- Category
- Development › Developer Tools
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
Guides for Developer Tools
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Neanderthal FAQ
Which hardware does the GPU engine support?
AMD, Nvidia, Intel, and Mac OSX.
Does Neanderthal implement its own low-level numerical routines?
No, it uses native BLAS and GPU processing with a small Clojure layer.
Can a different engine be used when speed is not a priority?
Yes, engine implementations are pluggable, including a pure Java option.
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