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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 ...
Before then, py2exe was made only for Python 2, [4] and it was necessary to use an alternative like cx_Freeze for Python 3 code. Although this program transforms a .py file to an .exe, it does not make it run faster because py2exe bundles the Python bytecode without converting it to machine-code.
Apache Maven – Software tool for managing build dependencies; ASDF – de facto standard build facility for Common Lisp; Bazel – Software tool that automates software builds and tests; BitBake – Build automation tool tailored for building Linux distributions; written in Python
Meson is free and open-source software under the Apache License 2.0. [4] Meson is written in Python and runs on Unix-like (including Linux and macOS), Windows and other operating systems. It supports building C, C++, C#, CUDA, Objective-C, D, Fortran, Java, Rust, and Vala. [5] It handles dependencies via a mechanism named Wrap.
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).
Make's dependency ordering and out-of-date checking makes the build process more robust and more efficient. The makefile allowed for better organization of build logic and often fewer build files. Make is widely used in part due to its early inclusion in Unix , starting with PWB/UNIX 1.0, which featured a variety of software development tools.
Dask is an open-source Python library for parallel computing.Dask [1] scales Python code from multi-core local machines to large distributed clusters in the cloud. Dask provides a familiar user interface by mirroring the APIs of other libraries in the PyData ecosystem including: Pandas, scikit-learn and NumPy.
Conda is an open-source, [2] cross-platform, [3] language-agnostic package manager and environment management system. It was originally developed to solve package management challenges faced by Python data scientists, and today is a popular package manager for Python and R.