Open Source Python Compilers
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Python Compilers
View 5728 business solutionsBrowse free open source Python Compilers and projects below. Use the toggles on the left to filter open source Python Compilers by OS, license, language, programming language, and project status.
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A disassembler for the linux platform. Currently this supports x86 ELF files assumed to be written in C and output to intel- syntax assembly language; however the design is modular and replacements for any of these can be written.
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Cython
The most widely used Python to C compiler
Cython is an optimizing static compiler for both the Python programming language and the extended Cython programming language (based on Pyrex). It makes writing C extensions for Python as easy as Python itself. Write Python code that calls back and forth from and to C or C++ code natively at any point. Easily tune readable Python code into plain C performance by adding static type declarations, also in Python syntax. Use combined source code level debugging to find bugs in your Python, Cython, and C code. Interact efficiently with large data sets, e.g. using multi-dimensional NumPy arrays. Quickly build your applications within the large, mature, and widely used CPython ecosystem. Integrate natively with existing code and data from legacy, low-level or high-performance libraries and applications. The Cython language is a superset of the Python language that additionally supports calling C functions and declaring C types on variables and class attributes. -
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PyInstaller
Converts (packages) Python programs into stand-alone executables
PyInstaller is a program that converts (packages) Python programs into stand-alone executables, under Windows, Linux, Mac OS X, AIX and Solaris. Its main advantages over similar tools are that PyInstaller works with any version of Python since 2.3, it builds smaller executables thanks to transparent compression, it is fully multi-platform, and uses the OS support to load the dynamic libraries, thus ensuring full compatibility. The main goal of PyInstaller is to be compatible with 3rd-party packages out-of-the-box. This means that, with PyInstaller, all the required tricks to make external packages work are already integrated within PyInstaller itself so that there is no user intervention required. You'll never be required to look for tricks in wikis and apply custom modification to your files or your setup scripts. As an example, libraries like PyQt, Django or matplotlib are fully supported, without having to handle plugins or external data files manually. -
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SMC - The State Machine Compiler
Translates state machine into a target programming language.
SMC takes a state machine stored in a .sm file and generates a State pattern in 14 programming languages. Includes: default transitions, transition args, transition guards, push/pop transitions and Entry/Exit actions. See User Manual for more info. -
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GCC toolchain for MSP430
Superseded by http://www.ti.com/tool/msp430-gcc-opensource
Obsolete. See http://www.ti.com/tool/msp430-gcc-opensource or upstream GNU tools. This is a port of the GNU C Compiler (GCC) and GNU Binutils (as, ld) for the embedded processor MSP430. Tools for debugging and download are provided (GDB, JTAG and BSL) -
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Easy Python Decompiler
Python 1.0 - 3.4 bytecode decompiler
Easy Python Decompiler is python bytecode decompiler, decompiles pyc & pyo files. Python version 1.0 to 3.4 are supported. This project is based two excellent decompiler "Uncompyle2" & "Decompyle++" No python installation is necessary for decompiling! You can decompile a single file or a whole directory. Unicode filenames are supported.. -
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PyInstaller Extractor
Extract contents of a Windows executable file created by pyinstaller
MIGRATED TO GITHUB https://github.com/extremecoders-re/pyinstxtractor This is a python script to extract the contents of a PyInstaller generated Windows executable file. The contents of the pyz file (usually pyc files) present inside the executable are also extracted. The pyc files are made valid so that a python bytecode decompiler will recognise it. Script can run on both python 2.x and 3.x Pyinstaller versions 2.0, 2.1, 3.0, 3.1 and 3.2 are supported -
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Numba
NumPy aware dynamic Python compiler using LLVM
Numba is an open source JIT compiler that translates a subset of Python and NumPy code into fast machine code. Numba translates Python functions to optimized machine code at runtime using the industry-standard LLVM compiler library. Numba-compiled numerical algorithms in Python can approach the speeds of C or FORTRAN. You don't need to replace the Python interpreter, run a separate compilation step, or even have a C/C++ compiler installed. Just apply one of the Numba decorators to your Python function, and Numba does the rest. Numba is designed to be used with NumPy arrays and functions. Numba generates specialized code for different array data types and layouts to optimize performance. Special decorators can create universal functions that broadcast over NumPy arrays just like NumPy functions do. Numba also works great with Jupyter notebooks for interactive computing, and with distributed execution frameworks, like Dask and Spark. -
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Hy
A dialect of Lisp that's embedded in Python
Hy is a multi-paradigm general-purpose programming language in the Lisp family. It’s implemented as a kind of alternative syntax for Python. Compared to Python, Hy offers a variety of extra features, generalizations, and syntactic simplifications, as would be expected of a Lisp. Compared to other Lisps, Hy provides direct access to Python’s built-ins and third-party Python libraries, while allowing you to freely mix imperative, functional, and object-oriented styles of programming. The first thing a Python programmer will notice about Hy is that it has Lisp’s traditional parenthesis-heavy prefix syntax in place of Python’s C-like infix syntax. As in other Lisps, the value of a simplistic syntax is that it facilitates Lisp’s signature feature, metaprogramming through macros, which are functions that manipulate code objects at compile-time to produce new code objects, which are then executed as if they had been part of the original code. -
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tvm
Open deep learning compiler stack for cpu, gpu, etc.
Apache TVM is an open source machine learning compiler framework for CPUs, GPUs, and machine learning accelerators. It aims to enable machine learning engineers to optimize and run computations efficiently on any hardware backend. The vision of the Apache TVM Project is to host a diverse community of experts and practitioners in machine learning, compilers, and systems architecture to build an accessible, extensible, and automated open-source framework that optimizes current and emerging machine learning models for any hardware platform. Compilation of deep learning models in Keras, MXNet, PyTorch, Tensorflow, CoreML, DarkNet and more. Start using TVM with Python today, build out production stacks using C++, Rust, or Java the next day. -
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Gnu Tools
Unix Tools For Windows
CodeBlocks With A full development environment. Took a while but CodeBlocks is now upto speed and in sync with the current release version. New version of CodeBlocks supports XML based configuration, so users can do specialized compiler support if needed. Changed away from the old Msys in favor of Msys2 which has better support for a lot of things like miktex. Old package is still there if you still need it but wont be developed on anymore. Loads of modifications compared to the Msys2 package from Alex, you can still update Msys2 packages from his server though. MinGW64 packages have to many changes compared to Alex version so those will not upgrade but im working on creating my own package server. Current Msys2/MinGW64 gcc is now 6.2.0-4 and binutils 2.27. New packages will be uploaded shortly. Stay tuned for more changes. -
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Psyco showed that it is possible to execute Python code at speeds approaching that of fully compiled languages, by "specialization". The project is now dead and replaced by PyPy: http://pypy.org/
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HydraDragonAntivirus
Dynamic and static analysis with Sandboxie for Windows, including EDR
Dynamic and static analysis with Sandboxie for Windows, including EDR, ClamAV, YARA-X, custom machine learning AI, behavioral analysis, NLP-based detection, website signatures, Ghidra, Suricata, Sigma, and much more than you can imagine -
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maXbox5
maXbox is a script tool engine, compiler and source lib all in one exe
The Art of Coding: maXbox is a script tool engine, compiler and source lib all in one exe to design and code your scripts in a shellbook! It supports Pascal, Delphi (VCL), Python (P4D), PowerShell and Java Script (Edge WebView). -
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This project will help you to expose C++ libraries to Python. pygccxml package is an object oriented framework for reading C++ declarations. pyplusplus package is an object-oriented framework for creating a code generator for boost.python library.
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Unfortunately this project has been suspended. If you wish to continue its development on your own, please feel free to contact me. UnPyc is a tool for disassembling, analyzing and decompiling Python's *.pyc and *.pyo files. UnPyc supports Python 2.5, 2.6.
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ASN.1 types and codecs (BER, CER, DER) implementation in Python programming language. A collection of various ASN.1-based protocols data structures is supplied in a dedicated Python package. Project moved to GitHub: https://github.com/etingof/pyasn1
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f2cpp is a python script to convert Fortran 77 to C++ code. The output files of f2cpp script, in contrast to the well-known f2c translator, can be easy read by human.
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pyxser stands for python xml serialization and is a python object to XML serializer that validates every XML deserialization against the pyxser 1.0 XML Schema. pyxser is written entirely in C as a python extension.
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ECMA-55 Minimal BASIC compiler
BASIC Compiler and Interpreter
John's Mutant contains several projects. The current project is an ECMA-55 Minimal BASIC compiler for Linux systems using AMD64 compatible CPUs. You can download the MinimalBASIC compiler source in the Files section. -
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IDC is an interactive decompiler, where the user starts with an almost literal translation of Assembly code in C language, which he progressively decompiles by the successive application of low-level refactorings, ultimately leading to high-level C code.
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coNCePTuaL
DSL for writing communication benchmarks
coNCePTuaL is a toolset for rapidly generating portable, readable, and reproducible network-performance tests. coNCePTuaL can perform the equivalent of many pages of C code with just a few mouse clicks or lines of code in a domain-specific language.
