ndarray

The ndarray crate provides an n-dimensional container for general elements and for numerics.

Please read the API documentation on docs.rs

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Highlights

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.

Status and Lookout

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.

Crate Feature Flags

The following crate feature flags are available. They are configured in your Cargo.toml.

serde
- Optional, compatible with Rust stable
- Enables serialization support for serde 1.x
rayon
- Optional, compatible with Rust stable
- Enables parallel iterators, parallelized methods and par_azip!.
blas
- Optional and experimental, compatible with Rust stable
- Enable transparent BLAS support for matrix multiplication. Uses blas-src for pluggable backend, which needs to be configured separately.

How to use with cargo

[dependencies]
ndarray = "0.13.0"

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. A proposed configuration using system openblas is shown below. Note that only end-user projects (not libraries) should select provider:

[dependencies]
ndarray = { version = "0.13.0", features = ["blas"] }
blas-src = { version = "0.4.0", default-features = false, features = ["openblas"] }
openblas-src = { version = "0.7.0", default-features = false, features = ["cblas", "system"] }

Recent Changes

See RELEASES.md.

License

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.

kdubovikov / ndarray