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Waf is a build automation tool designed to assist in the automatic compilation and installation of computer software.It is written in Python and maintained by Thomas Nagy.. Waf's source code is open source software, released under the terms of the New BSD License, though its accompanying documentation is under the CC-BY-NC-ND license, which forbids both modification and commercial ...
CMake ships with numerous .cmake script files and development tools that facilitate tasks such as finding dependencies (both built-in and external, e.g. FindXYZ modules), testing the toolchain environment and executables, packaging releases (CPack), and managing dependencies on external projects (ExternalProject module).
Configuration files are Python; user-written builds can leverage a general-purpose, cross-platform programming language Dependency analysis for C , C++ and Fortran Dependency analysis is extensible through user-defined scanners for other languages or file types; unlike GNU Compiler Collection (GCC) dependency analysis, SCons uses a regular ...
Bazel is extensible with the Starlark programming language. [13] Starlark is an embedded language whose syntax is a subset of the Python syntax. However, it doesn't implement many of Python's language features, such as the ability to access the file I/O, in order to avoid extensions that could create side-effects or create build outputs not known to the build system itself.
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] GNU build system (aka Autotools) – Software build toolset from GNU Pages displaying short descriptions of redirect targets
Ninja is a build system developed by Evan Martin, [4] a Google employee. Ninja has a focus on speed and it differs from other build systems in two major respects: it is designed to have its input files generated by a higher-level build system, and it is designed to run builds as fast as possible.
To build ns-3, you need a computer with a C++ compiler, Python, and the CMake build system. Simple scenarios should run on typical home or office computers, but very large scenarios benefit from large amounts of memory and faster CPUs. The project provides an installation guide that details the requirements, and a tutorial on how to get started.
Snakemake is a Python-driven implementation for compiling and running bioinformatics workflows. [ 34 ] POSIX includes standardization of the basic features and operation of the Make utility, and is implemented with varying degrees of compatibility with Unix-based versions of Make.