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Any textual language. DMS Software Reengineering Toolkit. Several code generation DSLs (attribute grammars, tree patterns, source-to-source rewrites) Active. DSLs represented as abstract syntax trees. DSL instance. Well-formed output language code fragments. Any programming language (proven for C, C++, Java, C#, PHP, COBOL) gSOAP.
Free, Commercial Python, C, C++ ... Included Python script codegen.py 'export filter' to Python ... Any kind of languages as it is compatible with code generator ...
FreeSpace 2 Source Code Project: C++: 2002 ... provide free tools to convert 3d assets content from FBX files or ... C++, Python: 2021 Lua, Script Canvas Yes 3D ...
NAnt, a tool similar to Ant for the .NET Framework. Ninja, a small build system focused on speed by using build scripts generated by higher-level build systems. Perforce Jam, a build tool by Perforce, inspired by Make. Qt Build System. Rake, a Ruby -based build tool. sbt, a build tool built on a Scala -based DSL.
swig.org. The Simplified Wrapper and Interface Generator (SWIG) is an open-source software tool used to connect computer programs or libraries written in C or C++ with scripting languages such as Lua, Perl, PHP, Python, R, Ruby, Tcl, and other language implementations like C#, Java, JavaScript, Go, D, OCaml, Octave, Scilab and Scheme.
Website. protobuf.dev. Protocol Buffers (Protobuf) is a free and open-source cross-platform data format used to serialize structured data. It is useful in developing programs that communicate with each other over a network or for storing data. The method involves an interface description language that describes the structure of some data and a ...
Generator (computer programming) In computer science, a generator is a routine that can be used to control the iteration behaviour of a loop. All generators are also iterators. [1] A generator is very similar to a function that returns an array, in that a generator has parameters, can be called, and generates a sequence of values.
OpenVINO is an open-source software toolkit for optimizing and deploying deep learning models. It enables programmers to develop scalable and efficient AI solutions with relatively few lines of code. It supports several popular model formats [2] and categories, such as large language models, computer vision, and generative AI.