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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]
Static application security testing (Static Code Analysis) tool Online Semgrep: 2025-01-29 (1.106.0) Yes; LGPL v2.1 — — Java JavaScript, TypeScript — Python Go, JSON, PHP, Ruby, language-agnostic mode A static analysis tool that helps expressing code standards and surfacing bugs early. It also has experimental support for eleven other ...
The ROSE compiler framework, developed at Lawrence Livermore National Laboratory (LLNL), is an open-source software compiler infrastructure to generate source-to-source analyzers and translators for multiple source languages including C (C89, C99, Unified Parallel C (UPC)), C++ (C++98, C++11), Fortran (77, 95, 2003), OpenMP, Java, Python, and PHP.
Rational Synergy is a software tool that provides software configuration management (SCM) capabilities for all artifacts related to software development including source code, documents and images as well as the final built software executable and libraries.
Edison Design Group: provides production-quality front end compilers for C, C++, and Java (a number of the compilers listed on this page use front end source code from Edison Design Group [111]). Additionally, Edison Design Group makes their proprietary software available for research uses.
It supports editing, very buggy debugging and programming of Microchip 8-bit, 16-bit and 32-bit PIC microcontrollers. 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]
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
As of 2015, versions of the SequenceL compiler generate parallel code in C++ and OpenCL, which allows it to work with most popular programming languages, including C, C++, C#, Fortran, Java, and Python. A platform-specific runtime manages the threads safely, automatically providing parallel performance according to the number of cores available.