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Called meta-build tools, these generate configuration files for other build tools such as those listed above. CMake – Cross-platform build tool for configuring platform-specific builds; very popoular; integrated with IDEs such as Qt Creator, [1] KDevelop and GNOME Builder [2]
EmBitz (formerly Em::Blocks) – free, fast (non-eclipse) IDE for ST-LINK (live data updates), OpenOCD, including GNU Tools for ARM and project wizards for ST, Atmel, EnergyMicro etc. [15] Embeetle IDE - free, fast (non-eclipse) IDE. Works both on Linux and Windows. [16] emIDE by emide – free Visual Studio Style IDE including GNU Tools for ...
This page is intended to list all current compilers, compiler generators, interpreters, translators, tool foundations, assemblers, automatable command line interfaces , etc. Ada compilers [ edit ]
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 ...
Python compiler may refer to: Python, a native code compiler for CMU Common Lisp One of several compiler implementations for the Python programming language: see Python implementations
An IDE that provides static code analysis for C/C++ both in the editor environment and from the compiler command line. Also includes the .NET Compiler Platform (Roslyn) which provides C# and VB.NET analysis. Yasca (retired) 2010-11-01 (2.21) Yes; multiple licenses — C, C++ Java JavaScript — — ASP, PHP, HTML, CSS, ColdFusion, COBOL
It supports automatic code generation with the MPLAB Code Configurator and the MPLAB Harmony [20] Configurator plugins. MPLAB X supports the following compilers: MPLAB XC8 — C compiler for 8-bit PIC and AVR devices [14] [21] MPLAB XC16 — C compiler for 16-bit PIC devices [21] MPLAB XC-DSC - C compiler for dsPIC family of devices
Numba is an open-source JIT compiler that translates a subset of Python and NumPy into fast machine code using LLVM, via the llvmlite Python package.It offers a range of options for parallelising Python code for CPUs and GPUs, often with only minor code changes.