NumSharp.Interop.OpenBLAS
Optional external-CBLAS matrix-product backend for NumSharp. Reference the package and np.dot / np.matmul compute float32/float64 products through OpenBLAS instead of NumSharp's managed SIMD GEMM — faster on large matrices, and BIT-IDENTICAL to NumPy, via a route-for-route port of NumPy's two matrix-product dispatchers. Ships the prebuilt OpenBLAS binaries NumPy itself bundles (scipy-openblas 0.3.31.22.0, the version numpy 2.4.2 pins) as per-RID runtime assets, so the same binary is loaded on Windows, Linux and macOS with no Python installed; a locally discovered or explicitly named CBLAS still takes precedence. NumSharp.Core itself stays 100% managed C# with no native dependency: with this package absent, every kernel is NumSharp's own.
Install
dotnet add package NumSharp.Interop.OpenBLAS --version 0.70.0
Install-Package NumSharp.Interop.OpenBLAS -Version 0.70.0
<PackageReference Include="NumSharp.Interop.OpenBLAS" Version="0.70.0" />
Frameworks
Dependencies
Adoption guide
Assess this package against its supported frameworks, license, maintenance signals and dependency graph before making it a project standard.
Compatibility metadata lists 2 target frameworks; confirm the exact target used by your application.
How to read this guidance
Sources: published NuGet v3 registry metadata and explicit NuBrowse editorial guides. Refresh: package metadata is refreshed from NuGet when the page loads. Limit: this is not a security, legal or compatibility guarantee; validate the selected version in your project.
Useful next steps
Move from package metadata to a concrete selection or review workflow.