- CP: Cerebral Procreation
- CP (Cerebral Procreation) is a BF (BrainF***) interpreter and compiler. It is different from other compilers in that instead of trying to understand the BF code, it simply transfers it to Perl code, which it then evaluates using the handy eval() function. It can also translate to C code, for easy compilation into a stand-alone binary.
- ccache (or “Ccache”) is a compiler cache. It speeds up recompilation by caching previous compilations and detecting when the same compilation is being done again. Supported languages are C, C++, Objective-C and Objective-C++.
- CHICKEN is a simple Scheme-to-C compiler supporting the language features as defined in the 'Revised^5 Report on Scheme'. It supports full tail-recursion and first-class continuations. The code it generates is quite portable; compiled files generated by it (including itself) should work with either no or minor changes on other systems. Linking to C modules and C library functions is straightforward, and compiled programs can easily be embedded into existing C code. The package includes many extra libraries.
- GNU cim offers a class concept, separate compilation with full type checking, interface to external C routines, an application package for process simulation and a coroutine concept. The portability of the GNU Simula Compiler is based on the C programming language. The compiler and the run-time system is written in C, and the compiler produces C code, that is passed to a C compiler for further processing towards machine code.
- ANSI Common Lisp is a high-level, general-purpose programming language. GNU CLISP is a Common Lisp implementation by Bruno Haible of Karlsruhe University and Michael Stoll of Munich University, both in Germany. It mostly supports the Lisp described in the ANSI Common Lisp standard. It runs on most GNU and Unix systems (GNU/Linux, GNU/Hurd, FreeBSD, NetBSD, OpenBSD, Solaris, Tru64, HP-UX, BeOS, IRIX, AIX, Mac OS X and others) and on other systems and needs only 4 MB of RAM. The user interface comes in English, German, French, Spanish, Dutch, Russian and Danish, and can be changed during run time. GNU CLISP includes an interpreter, a compiler, a debugger, CLOS, MOP, a foreign language interface, a socket interface, i18n, fast bignums, arbitrary precision floats and more. An X11 interface is available through CLX, Garnet, CLUE/CLIO. GNU CLISP runs Maxima, ACL2 and many other Common Lisp packages.
- Cloudgizer is a tool for building web applications as Apache modules in C language enhanced with simple markup, with emphasis on performance, small-footprint, and more productive and safer programming in C. It combines the ease of scripting with the power of C, improving the resource utilization for cloud applications. The programmer writes simple markup language mixed with C code, which is then translated entirely into C code and compiled natively as Apache module. The resulting application is fast and takes less memory, as there are no interpreters or virtual machines. Features include easy markups to use MariaDB database, HTML input parameters, cookies, simpler outputting of web pages, files storage and manipulation, encryption, encoding, program execution, web calls, safer and easier string manipulation etc. - the list is too long to place in one sentence. Overall Cloudgizer does a lot of stuff for you that you'd otherwise need to do yourself. A memory garbage collection system and memory overwrite/underwrite detection comes in handy for program stability. The same goes for string and memory handling markups to help write applications that won't crash. Also included is an application packaging system and an automated application installer. This makes rollout of products and release cycle more manageable. Cloudgizer source files have extension .v. Cloudgizer pre-compiler (cld program) will turn your .v files into .c files, ready for compilation as pure C programs. Then, your program will be compiled and linked with Apache web server on RH/Centos systems. It links with Apache as an Apache module in a "prefork" configuration. It does the work of communicating with Apache, and it makes it easier to write high-performance/small-footprint web programs in C. Cloudgizer is not designed to be thread-safe as it works in a "prefork" configuration of Apache. You can also build command-line programs. The same program can serve as both command-line utility and a web program linked with Apache. Cloudgizer works with RedHat/Centos 7 operating system, Apache web server and mariaDB database.
- The Axiom computer algebra system provides a compiler for the SPAD programming language which is particularly well suited for developing mathematical algorithms. Aldor is a non-free descendant of the SPAD language. The Comma project draws from the past experience of these systems to provide a new implementation and language definition.
- 'Compilercache' is a wrapperscript around your C and C++ compilers. Each time you compile something, it puts the result into a cache. If you compile the same thing again, the result will be picked from the cache instead of being recompiled. The same applies if you change your compiler options: the old compilation is picked up from the cache, which speeds things up considerably. No Makefiles, no cleaning up dependencies, and no recompilation if you switch compiler options. Additionally, if you download an updated version of a package already on your system and compile it using compilercache, only the changed sources will be recompiled.
- 'cpphs' is a simplified Haskell re-implementation of cpp, the C pre-processor, in Haskell. The C pre-processor is widely used in Haskell source code, but a true cpp is not often available on some systems, and the common cpp provided by the gcc 3.x series is changing in ways that are incompatible with Haskell's syntax. This includes problems with, for instance, string gaps, and prime characters in identifiers. This project attempts to provide an alternative to cpp that is more compatible with Haskell and can be distributed with compilers.
- 'distcc' distributes compilation of C or C++ code across several machines on a network. It should always generate the same results as a local compile, is simple to install and use, and is often significantly faster than a local compile. 'distcc' does not require all machines to share a filesystem, have synchronized clocks, or to have the same libraries or header files installed. Machines can be running different operating systems, as long as they have compatible binary formats or cross-compilers. 'distcc' sends the complete preprocessed source code across the network for each job, so all it requires of the volunteer machines is that they be running the distccd daemon, and that they have an appropriate compiler installed.
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