N-dimensional Matrix / Vector maths API for Clojure.
core.matrix allows you to write clean, functional code
with matrices as mathematical objects
(+ [[1 2] [3 4]] (* (identity-matrix 2) 3.0)) => [[4.0 2.0] [3.0 7.0]]
The objective of
core.matrix is to provide a common and idiomatic abstraction for matrix maths in Clojure,
independent of underlying implementations. If it looks like a matrix, it works like a matrix.
- Provide a clear, standard API / abstraction for matrix and vector maths in Clojure
- Enable plugable support for different underlying matrix library implementations
- Provide a general purpose n-dimensional array implementation (NDArray)
- Provide a foundation layer for other projects (e.g. Incanter)
- Maintain high performance throughout
core.matrix is fully functional and usable in production applications. As well as supporting
the standard Clojure data structures, multiple back end implementations exist that provide optimised
matrix implementations. The most mature implementations are currently:
- vectorz-clj : a fast pure-JVM matrix library for Clojure
- Clatrix : native code matrix library using BLAS
However the API is still subject to some changes at present (at least up until release 1.0.0), so users should be prepared to deal with potential breaking changes when updating to future releases.
The plan is to become an official Clojure Contrib language extension once the API has been well tested.
Get the latest version from Clojars:
For code examples see:
For documentation and further examples see the Wiki:
All contributions / ideas welcome!
There are a number of proposed enhancements listed as GitHub issues: these are a good place to start if you wish to contribute to core.matrix:
If you wish to contribute code, please ensure you have a Clojure Contributors Agreement signed and on file. For more information see:
Discussions related to core.matrix generally take place on the "Numerical Clojure" group:
If you are interested in writing a
core.matrix implementation, see:
You can also find a protocol implementation summary here: