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PyOpenCL lets you access GPUs and other massively parallel compute devices from Python. It tries to offer computing goodness in the spirit of its sister project PyCUDA:

  • Object cleanup tied to lifetime of objects. This idiom, often called RAII in C++, makes it much easier to write correct, leak- and crash-free code.

  • Completeness. PyOpenCL puts the full power of OpenCL’s API at your disposal, if you wish. Every obscure get_info() query and all CL calls are accessible.

  • Automatic Error Checking. All CL errors are automatically translated into Python exceptions.

  • Speed. PyOpenCL’s base layer is written in C++, so all the niceties above are virtually free.

  • Helpful and complete Documentation as well as a Wiki.

  • Liberal license. PyOpenCL is open-source under the MIT license and free for commercial, academic, and private use.

  • Broad support. PyOpenCL was tested and works with Apple’s, AMD’s, and Nvidia’s CL implementations.

Simple 4-step install instructions using Conda on Linux and macOS (that also install a working OpenCL implementation!) can be found in the documentation.

What you’ll need if you do not want to use the convenient instructions above and instead build from source:

  • g++/clang new enough to be compatible with nanobind (specifically, full support of C++17 is needed)

  • numpy, and

  • an OpenCL implementation. (See this howto for how to get one.)

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Credits

Author: Andreas Kloeckner

GitHub Statistics

Data verified by PyPI on Aug 23, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

MIT
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Requires

Python <4, >=3.10

Provides Extra

oclgrind pocl test

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This release

2026.1.3 This release

53 files

2026.1.2

41 files

2026.1.1

41 files

2026.1

34 files

2025.2.7

29 files

2025.2.6

21 files

2025.2.5

21 files

2025.2.4

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2025.2.3

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2025.2.2

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2025.2.1

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2025.1

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2024.3

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2024.2.7

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2024.2.6

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2024.2.5

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Yanked

2024.2.4

26 files

Yanked reason: missing compyte https://github.com/inducer/pyopencl/issues/765

2024.2.2

26 files

2024.2.1

26 files

2024.2

26 files

2024.1

29 files

2023.1.4

42 files

2023.1.3

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2023.1.2

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2023.1.1

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2023.1

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2022.3.1

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2022.3

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2022.2.4

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2022.2.3

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2022.2.2

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2022.2.1

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2022.2

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2021.2.4

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Yanked reason: test_arithmetic_on_non_scalars fails on 3.6 (no dataclasses)

2021.2.3

6 files

2021.2.2

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2021.2.1

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2021.2

5 files

Yanked reason: https://github.com/inducer/pyopencl/pull/474

2021.1.6

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2021.1.5

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2021.1.4

5 files

2021.1.3

5 files

2021.1.2

5 files

2021.1.1

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2021.1

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2020.3.1

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2020.3

1 file

2020.2.2

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2020.2.1

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2020.2

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2020.1

7 files

2019.1.2

15 files

2019.1.1

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2019.1

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2018.2.5

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2018.2.4

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2018.2.3

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2018.2.2

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2018.1

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2017.2.2

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2014.1

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2013.1

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2012.1

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2011.2

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2011.1.2

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2011.1.1

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2011.1

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Pre-release

2011.1beta3

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Pre-release

2011.1beta2

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Pre-release

2011.1beta

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0.92

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0.91.5

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0.90.1

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0.90

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