mkl-random

library1.4.1pypypi✓ verified 85d ago

NumPy-based Python interface to Intel (R) MKL Random Number Generation functionality. Provides high-performance random number generation backed by Intel MKL. Current version 1.4.1, supporting Python 3.10-3.14. Release cadence is irregular.

ai-ml

pip install mkl-random

github ↗homepage ↗

INSTALL

IMPORT

SIG · MKL-RANDOM

mkl-random

ai-mlpythonv1.4.1

harness data pending

Install & Compatibility

Where this runs

No compatibility data collected yet for this library.

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

mkl_random

✓ import mkl_random

✗ from mkl_random import *

Star import discouraged due to namespace overlap with numpy.random

mkl_random.beta

✓ from mkl_random import beta

✗ from numpy.random import beta

numpy.random.beta may not use MKL; explicit import from mkl_random ensures MKL backend

Quickstart: import mkl_random, seed, and generate random samples using the MKL backend.

import mkl_random import os # Set random seed for reproducibility mkl_random.seed(42) # Generate random numbers rng = mkl_random.RandomState(seed=42) samples = rng.rand(10) print(samples)

Debug

Known issues

breakingmkl_random 1.4.0+ drops support for Python <3.10. Upgrade Python to 3.10+ if you were using an older version.

fix

Upgrade Python to 3.10+ and reinstall mkl-random.

affects: 1.4.0+

gotchamkl_random.seed() does not affect numpy.random unless you call numpy.random.seed() separately. They operate independently.

fix

Use mkl_random.seed() for MKL-based generators and numpy.random.seed() for numpy backend if needed.

affects: all

gotchaUsing from mkl_random import * may silently overwrite numpy.random functions because mkl_random exports names like 'normal', 'rand', etc.

fix

Avoid star import; use import mkl_random and then mkl_random.normal(...).

affects: all

Errors

Common errors & fixes

ModuleNotFoundError: No module named 'mkl_random'

mkl_random is not installed in the current environment.

fix

Run 'pip install mkl-random' or 'conda install -c intel mkl-random'.

ImportError: DLL load failed: The specified module could not be found

Intel MKL runtime (mkl_rt.dll / libmkl_rt.so) is missing from the system or Python path.

fix

Install the Intel MKL library via conda ('conda install mkl') or download from Intel's website. On Linux, set LD_LIBRARY_PATH to MKL library directory.

Upgrade

Version history

1.4.1latest on PyPI · released May 12, 2026

Audit

Dependencies

numpyrequiredRequired for array handling and compatibility with NumPy's random module

mklrequiredIntel MKL runtime library; must be separately installed or provided via conda

Agent activity

18 hits · last 30 days

node

Resources

githubhttp://github.com/IntelPython/mkl_random ↗

homepagehttp://github.com/IntelPython/mkl_random ↗