# Burn NdArray
> [Burn](https://github.com/tracel-ai/burn) ndarray backend
[](https://crates.io/crates/burn-ndarray)
[](https://github.com/tracel-ai/burn-ndarray/blob/master/README.md)
> **New projects should use [`burn-flex`](https://crates.io/crates/burn-flex).** It is a
> from-scratch pure-Rust CPU backend that replaces `burn-ndarray` with faster gemm, zero-copy view
> operations, native quantization, and full support for `std`, `no_std`, and WebAssembly. See
> [`burn-flex/COMPARISON.md`](../burn-flex/COMPARISON.md) for a migration path and
> operation-by-operation benchmarks.
## Feature Flags
This crate can be used without the standard library (`#![no_std]`) with `alloc` by disabling the
default `std` feature.
The following flags support various BLAS options:
- `blas-accelerate` - Accelerate framework (macOS only)
- `blas-netlib` - Netlib
- `blas-openblas` - OpenBLAS static linked
- `blas-openblas-system` - OpenBLAS from the system
Note: under the `no_std` mode, the seed is fixed if the seed is not
initialized by `Backend::seed` method.
### Platform Support
| Pure Rust | Yes | No | Yes | Yes | Yes | Yes | Yes | Yes |
| Accelerate | Yes | No | No | Yes | No | No | Yes | No |
| Netlib | Yes | No | Yes | Yes | Yes | No | No | No |
| Openblas | Yes | No | Yes | Yes | Yes | Yes | Yes | No |