Business Profile
Cython provides C-Extensions for Python by compiling Python (and the Cython language) into highly efficient C code, enabling Python code to call and interoperate with C/C++ code with near-C performance.
Python developers and data scientists who need high-performance extensions, wrappers around external C/C++ libraries, or embedding CPython into applications; teams building fast Python modules and scientific computing workstreams; open-source projects needing efficient bindings to native libraries.
Cython is a superset of Python that adds static typing and the ability to declare C/C++ types, compiling to optimized C code that works with CPython and major C/C++ compilers; it enables seamless Python-to-C/C++ interoperation, high performance, and ease of wrapping external libraries within the Python ecosystem.
{"Case example indicates about 30 minutes to write a Cython version of code and achieve runtime speed comparable to C"}
PayPal reports benefits through high-performance Cython users like gevent, lxml, and NumPy.
SciPy community notes that Cython helps performance, maintainability, and cross-version Python support within SciPy projects.
In scikit-learn, adopting Cython was described as a clear win for maintainability and multi-Python-version support.
A user reported a 550x speed-up when converting a Python/NumPy distance-matrix script to Cython (took ~10 minutes to learn and implement).
Cython is an optimising static compiler for Python and the extended Cython language; it enables writing Python code that calls into C/C++ code, compiling to efficient C, and integrating seamlessly with NumPy and the CPython ecosystem.
Python developers, scientific computing teams, researchers, and open-source projects needing fast, reliable Python bindings to native libraries or high-performance Python modules.
Write Python-like code that compiles to fast C, enabling seamless C/C++ interoperability, efficient bindings, and high performance without abandoning Python's readability and ecosystem.
Cython compiles to C and requires a C compiler; supports CPython 3.8+ and all later versions; Python 2.7 and 3.5+ compatibility noted; PyPy support is available (mostly usable); distribution via PyPI; Windows installers available; can target the CPython Limited API (experimental).
Open source and freely available under the Apache 2.0 license; donations/sponsorship options include GitHub Sponsors, PayPal, and Tidelift; community contributions and corporate sponsorship noted.
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