Releases: urob/numpy-mkl
0.1.12
Released on 2026-05-01.
Latest builds
| Package | OS | Latest version | Supported Python versions |
|---|---|---|---|
| NumPy | Linux | 2.4.4 | ≥3.11, ≤3.14 |
| NumPy | Windows | 2.4.4 | ≥3.11, ≤3.14 |
| SciPy | Linux | 1.17.1 | ≥3.11, ≤3.14 |
| SciPy | Windows | 1.17.1 | ≥3.11, ≤3.14 |
| mkl-service | Linux | 2.6.1 | ≥3.11, ≤3.14 |
| mkl-service | Windows | 2.6.1 | ≥3.11, ≤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-mklpip
pip install numpy scipy --index-url https://urob.github.io/numpy-mklManual 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.
0.1.11
Released on 2026-03-29.
Latest builds
| Package | OS | Latest version | Supported Python versions |
|---|---|---|---|
| NumPy | Linux | 2.4.4 | ≥3.11, ≤3.14 |
| NumPy | Windows | 2.4.4 | ≥3.11, ≤3.14 |
| SciPy | Linux | 1.17.1 | ≥3.11, ≤3.14 |
| SciPy | Windows | 1.17.1 | ≥3.11, ≤3.14 |
| mkl-service | Linux | 2.6.1 | ≥3.11, ≤3.14 |
| mkl-service | Windows | 2.6.1 | ≥3.11, ≤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-mklpip
pip install numpy scipy --index-url https://urob.github.io/numpy-mklManual 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.
0.1.10
Released on 2026-03-09.
Latest builds
| Package | OS | Latest version | Supported Python versions |
|---|---|---|---|
| NumPy | Linux | 2.4.3 | ≥3.11, ≤3.14 |
| NumPy | Windows | 2.4.3 | ≥3.11, ≤3.14 |
| SciPy | Linux | 1.17.1 | ≥3.11, ≤3.14 |
| SciPy | Windows | 1.17.1 | ≥3.11, ≤3.14 |
| mkl-service | Linux | 2.6.1 | ≥3.11, ≤3.14 |
| mkl-service | Windows | 2.6.1 | ≥3.11, ≤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-mklpip
pip install numpy scipy --index-url https://urob.github.io/numpy-mklManual 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.
0.1.9
Released on 2026-02-24.
Latest builds
| Package | OS | Latest version | Supported Python versions |
|---|---|---|---|
| NumPy | Linux | 2.4.2 | ≥3.11, ≤3.14 |
| NumPy | Windows | 2.4.2 | ≥3.11, ≤3.14 |
| SciPy | Linux | 1.17.1 | ≥3.11, ≤3.14 |
| SciPy | Windows | 1.17.1 | ≥3.11, ≤3.14 |
| mkl-service | Linux | 2.6.1 | ≥3.11, ≤3.14 |
| mkl-service | Windows | 2.6.1 | ≥3.11, ≤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-mklpip
pip install numpy scipy --extra-index-url https://urob.github.io/numpy-mklManual 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.
0.1.8
Released on 2026-02-01.
Latest builds
| Package | OS | Latest version | Supported Python versions |
|---|---|---|---|
| NumPy | Linux | 2.4.2 | ≥3.11, ≤3.14 |
| NumPy | Windows | 2.4.2 | ≥3.11, ≤3.14 |
| SciPy | Linux | 1.17.0 | ≥3.11, ≤3.14 |
| SciPy | Windows | 1.17.0 | ≥3.11, ≤3.14 |
| mkl-service | Linux | 2.6.1 | ≥3.11, ≤3.14 |
| mkl-service | Windows | 2.6.1 | ≥3.11, ≤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-mklpip
pip install numpy scipy --extra-index-url https://urob.github.io/numpy-mklManual 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.
0.1.7
Released on 2026-01-10.
Latest builds
| Package | OS | Latest version | Supported Python versions |
|---|---|---|---|
| NumPy | Linux | 2.4.1 | ≥3.11, ≤3.14 |
| NumPy | Windows | 2.4.1 | ≥3.11, ≤3.14 |
| SciPy | Linux | 1.17.0 | ≥3.11, ≤3.14 |
| SciPy | Windows | 1.17.0 | ≥3.11, ≤3.14 |
| mkl-service | Linux | 2.6.1 | ≥3.11, ≤3.14 |
| mkl-service | Windows | 2.6.1 | ≥3.11, ≤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-mklpip
pip install numpy scipy --extra-index-url https://urob.github.io/numpy-mklManual 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.
0.1.6
Released on 2026-01-10.
Latest builds
| Package | OS | Latest version | Supported Python versions |
|---|---|---|---|
| NumPy | Linux | 2.4.1 | ≥3.11, ≤3.14 |
| NumPy | Windows | 2.4.1 | ≥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 | 2.6.1 | ≥3.11, ≤3.14 |
| mkl-service | Windows | 2.6.1 | ≥3.11, ≤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-mklpip
pip install numpy scipy --extra-index-url https://urob.github.io/numpy-mklManual 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.
0.1.5
Released on 2025-12-23.
Latest builds
| Package | OS | Latest version | Supported Python versions |
|---|---|---|---|
| NumPy | Linux | 2.4.0 | ≥3.11, ≤3.14 |
| NumPy | Windows | 2.4.0 | ≥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 | 2.6.1 | ≥3.11, ≤3.14 |
| mkl-service | Windows | 2.6.1 | ≥3.11, ≤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-mklpip
pip install numpy scipy --extra-index-url https://urob.github.io/numpy-mklManual 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.
0.1.4
Released on 2025-11-30.
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 | 2.6.1 | ≥3.11, ≤3.14 |
| mkl-service | Windows | 2.6.1 | ≥3.11, ≤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-mklpip
pip install numpy scipy --extra-index-url https://urob.github.io/numpy-mklManual 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.
0.1.3
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-mklpip
pip install numpy scipy --extra-index-url https://urob.github.io/numpy-mklManual 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.