Neanderthal

What it is

Neanderthal is a high-performance matrix library for the Clojure programming language, supporting both native CPU and GPU operations through OpenCL and CUDA.

Neanderthal stands out as a high-performance matrix library specifically optimized for Clojure, offering seamless integration with both CPU and GPU through OpenCL and CUDA.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited language support

   Neanderthal is tightly integrated with Clojure, making it less accessible for developers familiar with other programming languages.

2. 02

   Small community and ecosystem

   The Uncomplicate ecosystem, while robust, has a smaller user base compared to more mainstream libraries like TensorFlow or PyTorch.

3. 03

   Complex setup for GPU operations

   Setting up OpenCL and CUDA environments can be challenging and requires specific hardware configurations, leading to potential compatibility issues.

What it does well

• Support for both CPU and GPU computations through OpenCL and CUDA

• High-performance matrix operations optimized for Clojure

• Integration with the Uncomplicate ecosystem

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.