0.1.3

Released on 2025-11-17.

Latest builds

Package	OS	Latest version	Supported Python versions
NumPy	Linux	2.3.5	≥3.11, ≤3.14
NumPy	Windows	2.3.5	≥3.11, ≤3.14
SciPy	Linux	1.16.3	≥3.11, ≤3.14
SciPy	Windows	1.16.3	≥3.11, ≤3.14
mkl-service	Linux	2.6.0	≥3.10, ≤3.14
mkl-service	Windows	2.6.0	≥3.10, ≤3.14

Usage

It is recommended to use uv or pip to automatically handle all dependencies.

uv

# Run this from project directory
uv init
uv add numpy scipy --index https://urob.github.io/numpy-mkl

pip

pip install numpy scipy --extra-index-url https://urob.github.io/numpy-mkl

Manual installation

Current wheels for all packages and versions can be downloaded here. Attached below are newly built wheels only.

Manual installs must install compatible versions of mkl, mkl-service, and their indirect dependencies. For maximum compatibility, it is recommended to install mkl-service from this repository, which has been patched to automatically detect and load the mkl library whenever numpy or scipy are imported.

0.1.2

Released on 2025-10-29.

Latest builds

Package	OS	Latest version	Supported Python versions
NumPy	Linux	2.3.4	≥3.11, ≤3.14
NumPy	Windows	2.3.4	≥3.11, ≤3.14
SciPy	Linux	1.16.3	≥3.11, ≤3.14
SciPy	Windows	1.16.3	≥3.11, ≤3.14
mkl-service	Linux	2.6.0	≥3.10, ≤3.14
mkl-service	Windows	2.6.0	≥3.10, ≤3.14

Usage

It is recommended to use uv or pip to automatically handle all dependencies.

uv

# Run this from project directory
uv init
uv add numpy scipy --index https://urob.github.io/numpy-mkl

pip

pip install numpy scipy --extra-index-url https://urob.github.io/numpy-mkl

Manual installation

Current wheels for all packages and versions can be downloaded here. Attached below are newly built wheels only.

Manual installs must install compatible versions of mkl, mkl-service, and their indirect dependencies. For maximum compatibility, it is recommended to install mkl-service from this repository, which has been patched to automatically detect and load the mkl library whenever numpy or scipy are imported.

0.1.1

Released on 2025-10-22.

Latest builds

Package	OS	Latest version	Supported Python versions
NumPy	Linux	2.3.4	≥3.11, ≤3.14
NumPy	Windows	2.3.4	≥3.11, ≤3.14
SciPy	Linux	1.16.2	≥3.11, ≤3.14
SciPy	Windows	1.16.2	≥3.11, ≤3.14
mkl-service	Linux	2.6.0	≥3.10, ≤3.14
mkl-service	Windows	2.6.0	≥3.10, ≤3.14

Usage

It is recommended to use uv or pip to automatically handle all dependencies.

uv

# Run this from project directory
uv init
uv add numpy scipy --index https://urob.github.io/numpy-mkl

pip

pip install numpy scipy --extra-index-url https://urob.github.io/numpy-mkl

Manual installation

Current wheels for all packages and versions can be downloaded here. Attached below are newly built wheels only.

Manual installs must install compatible versions of mkl, mkl-service, and their indirect dependencies. For maximum compatibility, it is recommended to install mkl-service from this repository, which has been patched to automatically detect and load the mkl library whenever numpy or scipy are imported.

0.1.0

This release re-uploads all existing wheels as release assets. This is in preparation for a future re-linking of the index from the wheelhouse branch to release assets, which is motivated to preserve storage space in the repository and the deploy (#11).

Usage

The release assets below aren't intended to be installed in isolation. To work correctly, one must install compatible, mkl-accelerated versions of numpy, mkl-service and, if needed, scipy. It is highly recommended to use pip or uv to automatically handle all dependencies. E.g.,

pip install numpy scipy --extra-index-url https://urob.github.io/numpy-mkl

See the setup guide for additional instructions.

If a manual installation is required, current wheels for all packages and versions can be be downloaded here.