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.

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