tbb-devel
Intel® oneAPI Threading Building Blocks (oneTBB)
Decision gist · record as of 2026-08-14
Yes, if you need task-based or data-parallel performance on multi-core systems and are comfortable with a C++ library binding. The package is actively maintained, production-stable, and has no known vulnerabilities. However, verify that your Python version is supported (metadata does not specify), understand that the license is non-standard (Intel Simplified Software License), and confirm that oneTBB's API surface meets your parallelism needs—this is not a high-level async framework but a lower-level scheduling primitive.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a compatible C++ runtime; wheels are provided for Linux (manylinux_2_28) and Windows (x86_64) only—other platforms must build from source.
- Medium install friction due to platform-specific wheels (manylinux and Windows); active maintenance with recent commits and stable production status, though the package is a development distribution of a C++ library rather than pure Python.
License · maintenance · safety
(unclear) — Licensed under Intel Simplified Software License (not SPDX-standardized); license treatment is unclear, so review the actual license terms before use in proprietary or GPL-licensed projects.
last release 2026-07-01 (44 days) · last repo commit 2026-08-14 · 6,712 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 139,105 downloads/mo, #11,309 on PyPI
Alternatives
Verify before relying
pip install tbb-devel
import tbb
# Use tbb parallelism primitives for task scheduling and data-parallel operations- Exact Python version compatibility (requires_python is unspecified in metadata)
- Whether this package is meant for end-user Python code or primarily for C++ extension developers
- How oneTBB primitives are actually exposed in the Python API and what the learning curve is
What it is and what it does
tbb-devel is a Python distribution of Intel's oneAPI Threading Building Blocks (oneTBB), a C++ library for writing scalable parallel programs. Rather than requiring developers to manage threads directly, oneTBB lets you express logical parallelism through templates and task-based abstractions, with the runtime handling thread scheduling and load balancing across cores. The library emphasizes data-parallel and task-parallel patterns and is designed for performance-critical applications.
This package provides bindings to oneTBB's core functionality, allowing Python code to leverage its parallelism primitives. It is part of the broader oneAPI ecosystem and is actively maintained by the UXL Foundation. The package carries medium install friction because it ships as platform-specific compiled wheels and depends on a C++ runtime, but it is production-stable and has no known security vulnerabilities.
Use it for
- Accelerate compute-intensive Python workloads by offloading parallelizable tasks to oneTBB's task scheduler
- Build data-parallel algorithms that scale efficiently across multi-core systems without manual thread management
- Integrate oneTBB parallelism into C++ extension modules or hybrid Python/C++ applications
- Prototype parallel algorithms using oneTBB's task-based and data-parallel templates before production deployment
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need task-based or data-parallel performance on multi-core systems and are comfortable with a C++ library binding.
The package is actively maintained, production-stable, and has no known vulnerabilities. However, verify that your Python version is supported (metadata does not specify), understand that the license is non-standard (Intel Simplified Software License), and confirm that oneTBB's API surface meets your parallelism needs—this is not a high-level async framework but a lower-level scheduling primitive.
Install
tbb-devel on PyPI
Before you install
Medium install friction due to platform-specific wheels (manylinux and Windows); active maintenance with recent commits and stable production status, though the package is a development distribution of a C++ library rather than pure Python.
Requires a compatible C++ runtime; wheels are provided for Linux (manylinux_2_28) and Windows (x86_64) only—other platforms must build from source.
License in practice
Licensed under Intel Simplified Software License (not SPDX-standardized); license treatment is unclear, so review the actual license terms before use in proprietary or GPL-licensed projects.
Quickstart
pip install tbb-devel
import tbb
# Use tbb parallelism primitives for task scheduling and data-parallel operationsVerify before relying
- Exact Python version compatibility (requires_python is unspecified in metadata)
- Whether this package is meant for end-user Python code or primarily for C++ extension developers
- How oneTBB primitives are actually exposed in the Python API and what the learning curve is
Package facts
| License | Not declared unclear |
| Python support | Not specified |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | 1 packagetbb |
| Maintenance | Actively maintained 44 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 139,105 / month, #11,309 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: EducationIntended Audience :: Other AudienceIntended Audience :: Science/ResearchIntended Audience :: System AdministratorsLicense :: Other/Proprietary LicenseOperating System :: POSIX :: LinuxTopic :: Software Development :: Libraries |
Evidence: tbb_devel-2023.1.0-py2.py3-none-manylinux_2_28_x86_64.whl; tbb_devel-2023.1.0-py3-none-win_amd64.whl
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See also tbb · tcmlib · oneccl-devel · oneccl · daal · onemkl-sycl-blas · intel-openmp · mkl · onemkl-license · onemkl-sycl-dft