PyOpenCL gives you easy, Pythonic access to the OpenCL parallel computation API. 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 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 Documentation. You’re looking at it. ;) Liberal license. PyOpenCL is open-source under the MIT license and free for commercial, academic, and private use.