The ndarray
crate provides an n-dimensional container for general elements and for numerics.
Please read the API documentation on docs.rs or take a look at the quickstart tutorial.
- Generic 1, 2, ..., n-dimensional arrays
- Owned arrays and array views
- Slicing, also with arbitrary step size, and negative indices to mean elements from the end of the axis.
- Views and subviews of arrays; iterators that yield subviews.
- Still iterating on and evolving the crate
- The crate is continuously developing, and breaking changes are expected during evolution from version to version. We adopt the newest stable rust features if we need them.
- Performance:
- Prefer higher order methods and arithmetic operations on arrays first, then iteration, and as a last priority using indexed algorithms.
- Efficient floating point matrix multiplication even for very large matrices; can optionally use BLAS to improve it further.
The following crate feature flags are available. They are configured in your Cargo.toml.
std
- Rust standard library (enabled by default)
This crate can be used without the standard library by disabling the default std feature. To do so, use this in your `Cargo.toml`:
[dependencies] ndarray = { version = "0.x.y", default-features = false }
- The geomspace linspace logspace range std var var_axis and std_axis methods are only available when std is enabled.
serde
- Enables serialization support for serde 1.x
rayon
- Enables parallel iterators, parallelized methods and
par_azip!
. - Implies std
- Enables parallel iterators, parallelized methods and
blas
- Enable transparent BLAS support for matrix multiplication. Uses
blas-src
for pluggable backend, which needs to be configured separately (see below).
- Enable transparent BLAS support for matrix multiplication. Uses
matrixmultiply-threading
- Enable the
threading
feature in the matrixmultiply package
- Enable the
[dependencies]
ndarray = "0.14.0"
How to enable blas integration. Depend on blas-src
directly to pick a blas provider. Depend on the same blas-src
version as ndarray
does, for the selection to work. An example configuration using system openblas is shown below. Note that only end-user projects (not libraries) should select provider:
[dependencies]
ndarray = { version = "0.14.0", features = ["blas"] }
blas-src = { version = "0.7.0", default-features = false, features = ["openblas"] }
openblas-src = { version = "0.9", default-features = false, features = ["cblas", "system"] }
For official releases of ndarray
, the versions are:
ndarray |
blas-src |
openblas-src |
---|---|---|
0.15 | 0.7.0 | 0.9.0 |
0.14 | 0.6.1 | 0.9.0 |
0.13 | 0.2.0 | 0.6.0 |
0.12 | 0.2.0 | 0.6.0 |
0.11 | 0.1.2 | 0.5.0 |
See RELEASES.md.
Dual-licensed to be compatible with the Rust project.
Licensed under the Apache License, Version 2.0 http://www.apache.org/licenses/LICENSE-2.0 or the MIT license http://opensource.org/licenses/MIT, at your option. This file may not be copied, modified, or distributed except according to those terms.