f2py is a command line tool for binding Python and Fortran code. It scans Fortran 77/90/95 code and generates a Python C/API module that makes it possible to call Fortran routines and to access Fortran data (COMMON blocks and Module data) from Python. No Fortran or C expertise is required for using this tool.
SWIG is a software development tool that connects programs written in C and C++ with a variety of high-level programming languages. SWIG is primarily used with common scripting languages such as Perl, PHP, Python, Tcl/Tk, and Ruby, however the list of supported languages also includes non-scripting languages such as C#, Common Lisp (CLISP, Allegro CL, UFFI), Java, Modula-3, OCAML, Octave, and R. Also several interpreted and compiled Scheme implementations (Guile, MzScheme, Chicken) are supported. SWIG is most commonly used to create high-level interpreted or compiled programming environments, user interfaces, and as a tool for testing and prototyping C/C++ software. SWIG can also export its parse tree in the form of XML and Lisp s-expressions.
This package consists of FlexModule.h, BisonModule.h, and assorted documentation, examples, and support files. A Python module can be created by including FlexModule.h into a Flex scanner specification and using a couple of C macros. BisonModule.h provides a set of C macros and functions that make it easy to create a parse tree of Python objects with Bison.
distcc is a parallel build system that distributes compilation of C/C++/ObjC code across machines on a network. It can be set up in just a few minutes and makes builds up to ten times faster. It does not require machines to share a filesystem or have the same libraries or header files, and installation does not need superuser privileges.
Felix is a programming language with a fully featured purely functional subsystem embedded in a a traditional Algol-like imperative programming system. The system features garbage collection, static typing, parametric polymorphism, overloading, regular expression matching, and a lot more. A scripting harness is used to invoke source files, but fully compiled binary shared libraries are generated, yielding both rapid prototyping and high performance. Seamless binding of C/C++ code makes interfacing existing libraries easy. Control inversion provides language-level cooperative multi-tasking.
Perthon converts Python source code to human- readable Perl 5.x source code. It makes use of Damian Conway's Parse::RecDescent for parsing, and aims to reimplement the Python language as specified in the Python Reference Manual and BNF grammar. Perthon is similar to Jython (www.jython.org), which reimplements Python on the JVM, except that Perthon works at the source code (not byte code) level. Perthon does the reverse of Bridgekeeper (http://www.crazy-compilers.com/bridgekeeper/), which attempts to solve the (much harder) problem of Perl-to-Python source code machine translation.