---
id: onemkl-sycl-dft
version: "2026.1.0"
license: Intel Simplified Software License
license_treatment: unclear
maintenance: active
---

# onemkl-sycl-dft — Intel® oneAPI Math Kernel Library

License: unclear · Maintenance: active · Downloads: 171.1K/mo

## What it is and what it does

onemkl-sycl-dft is Intel's oneAPI Math Kernel Library packaged for Python, exposing highly optimized mathematical routines through C and Data Parallel C++ interfaces. It targets developers building performance-critical numerical applications that need to leverage Intel CPUs and GPUs. The package bundles three runtime dependencies (dpcpp-cpp-rt, intel-opencl-rt, mkl) and requires manual configuration of the MKLROOT environment variable after installation—a setup step not handled automatically by PyPI.

The library is positioned for scientific computing, machine learning, and data analysis workloads where maximum performance on Intel hardware is a priority. It is actively maintained and carries a proprietary Intel license. Because the license treatment is unclear in the metadata, you should consult Intel's terms directly before committing to production use, especially if your project involves redistribution or commercial deployment.

Use it for:

- Accelerate numerical simulations and scientific computations on Intel CPUs and GPUs
- Optimize linear algebra and Fourier transform operations in machine learning pipelines
- Build high-performance data analysis applications leveraging Intel's threaded math routines
- Develop heterogeneous compute applications using Data Parallel C++ on Intel hardware

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Provides optimized C and Data Parallel C++ (DPC++) interfaces to Intel's oneAPI Math Kernel Library for high-performance mathematical computing on Intel CPUs and GPUs.

Yes, if you are developing performance-critical numerical code targeting Intel hardware and are comfortable with proprietary licensing and manual environment setup. The package is actively maintained, carries no known vulnerabilities, and is in the top PyPI packages by download volume. However, verify Python version compatibility first (unspecified in metadata) and review Intel's license terms, particularly if redistribution is planned.

## Install

pip install onemkl-sycl-dft
uv add onemkl-sycl-dft
poetry add onemkl-sycl-dft

## Installing onemkl-sycl-dft

Before you install: Medium install friction due to three runtime dependencies (dpcpp-cpp-rt, intel-opencl-rt, mkl). Package is actively maintained with recent release. Note that MKLROOT environment variable requires manual setup post-installation and is not configured automatically by PyPI.

License in practice: Licensed under Intel Simplified Software License (proprietary, non-SPDX). License treatment is unclear, meaning you should review Intel's terms directly before integrating into your project, particularly if redistribution or commercial use is planned.

Quickstart:

pip install onemkl-sycl-dft

import onemkl_sycl_dft
# Requires MKLROOT environment variable to be set manually

MKLROOT environment variable must be configured manually after installation; three Intel runtime libraries (dpcpp-cpp-rt, intel-opencl-rt, mkl) are required dependencies.

Verify before relying:

- Exact Python version compatibility (requires_python is unspecified in metadata)
- Whether MKLROOT setup is documented in the Intel developer documentation referenced
- Supported Intel GPU architectures and CPU generations beyond 'current and future'

## Package facts

- License: Intel Simplified Software License (unclear)
- Python support: unspecified
- Install friction: medium
- Maintenance: active
- Downloads: 171.1K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

intel mkl dpc++ bindings, oneapi math kernel library, high-performance math library, intel cpu gpu optimization, data parallel c++ math, optimized mathematical routines, intel oneapi dft, intel-hardware, high-performance-computing, proprietary-license

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