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Research compilers are mostly not robust or complete enough to handle real, large applications. They are used mostly for fast prototyping new language features and new optimizations in research areas. Open64: A popular research compiler. Open64 merges the open source changes from the PathScale compiler mentioned.
PyPy as of version 7.3.17 is compatible with two CPython versions: 2.7 and 3.10. [12] [13] The first PyPy version compatible with CPython v3 is PyPy v2.3.1 (2014). [14] The PyPy interpreter compatible with CPython v3 is also known as PyPy3. PyPy has JIT compilation support on 32-bit/64-bit x86 and 32-bit/64-bit ARM processors. [15]
Anaconda, Inc. compiles and builds the packages available in the Anaconda repository itself, and provides binaries for Windows 32/64 bit, Linux 64 bit and MacOS 64-bit (Intel, Apple Silicon). Anything available on PyPI may be installed into a Conda environment using pip, and Conda will keep track of what it has installed and what pip has installed.
Mingw-w64 is a free and open-source suite of development tools that generate Portable Executable (PE) binaries for Microsoft Windows.It was forked in 2005–2010 from MinGW (Minimalist GNU for Windows).
The primary supported (and best tested) processor families are 64- and 32-bit ARM, 64- and 32-bit x86 64 and x86 and 64-bit PowerPC and SPARC. [77] GCC target processor families as of version 11.1 include: [78]
Nuitka – a source-to-source compiler which compiles Python code to C/C++ executables, or source code. Numba – NumPy aware LLVM -based JIT compiler Pyjs – a framework (based on Google Web Toolkit (GWT) concept) for developing client-side Python-based web applications, including a stand-alone Python-to-JavaScript compiler, an Ajax framework ...
Nuitka (pronounced as / n juː t k ʌ / [2]) is a source-to-source compiler which compiles Python code to C source code, applying some compile-time optimizations in the process such as constant folding and propagation, built-in call prediction, type inference, and conditional statement execution.
PyCharm was released to the market of the Python-focused IDEs to compete with PyDev (for Eclipse) or the more broadly focused Komodo IDE by ActiveState. [ citation needed ] The beta version of the product was released in July 2010, with the 1.0 arriving 3 months later.