Free python native compiler software for linux

JavaNativeCompiler (JNC) is a Java to native compiler. The project allows AOT (ahead of time) compilation of your Java applications. With JNC, you can create real standalone native binaries (.exe on Windows) which will no longer depend on a JRE.
This is especially useful when applications have to be deployed to end-users. All vexatious problems of deploying Java applications can be solved by compiling them to native. They will be:
- Easy to deploy
No JRE dependency. Most end-users dont know what they have installed.
No more problems on how to create an executable file out of a JAR or class file.
- Hard to decompile
Java can easily be decompiled. Native compilation will protect your source code.
- Run fast from the start
No more overhead for loading a JRE.
Enhancements:
- This release fixes a couple of problems with AWT/Swing and XML.
- It also once again contains a version for Linux.
- The compiler binary downloads are smaller.

State Machine Compiler takes a state machine stored in an .sm file and generates the state pattern classes in nine programming languages.
Its features include default transitions, transition arguments, transition guards, push/pop transitions, and Entry/Exit actions. State Machine Compiler requires Java SE 1.4.1 or better.
Enhancements:
- This release cleans up C# and VB.net debug output using System.Diagnostics.Trace.
- It fixes a number of minor bugs.

Python XHTML is a simple Python module for the generation of valid XHTML.

ToDo:

* include tests for all methods in xhtml_test.py
* ensure that all text that is added to the document is xml safe
* include methods for added w3.org validation link buttons
* complete support for XHTML 1.1 specification

Tiny C compiles so fast that even for big projects Makefiles may not be necessary.
TinyCC (aka TCC) is a small but hyper fast C compiler. Unlike other C compilers, it is meant to be self-relying: you do not need an external assembler or linker because TCC does that for you.
TCC not only supports ANSI C, but also most of the new ISO C99 standard and many GNUC extensions including inline assembly.
TCC can also be used to make C scripts, i.e. pieces of C source that you run as a Perl or Python script. Compilation is so fast that your script will be as fast as if it was an executable. TCC can also automatically generate memory and bound checks while allowing all C pointers operations. TCC can do these checks even if non patched libraries are used.
With libtcc, you can use TCC as a backend for dynamic code generation
TCC mainly supports the i386 target on Linux and Windows. There are alpha ports for the ARM (arm-tcc) and the TMS320C67xx targets (c67-tcc).
Main features:
- SMALL! You can compile and execute C code everywhere, for example on rescue disks (about 100KB for x86 TCC executable, including C preprocessor, C compiler, assembler and linker).
- FAST! tcc generates optimized x86 code. No byte code overhead. Compile, assemble and link several times faster than GCC.
- UNLIMITED! Any C dynamic library can be used directly. TCC is heading torward full ISOC99 compliance. TCC can of course compile itself.
- SAFE! tcc includes an optional memory and bound checker. Bound checked code can be mixed freely with standard code.
- Compile and execute C source directly. No linking or assembly necessary. Full C preprocessor and GNU-like assembler included.
- C script supported : just add #!/usr/local/bin/tcc -run at the first line of your C source, and execute it directly from the command line.
- With libtcc, you can use TCC as a backend for dynamic code generation.
Enhancements:
- initial PE executable format for windows version (grischka)
- #pragma pack support (grischka)
- #include_next support (Bernhard Fischer)
- ignore -pipe option
- added -f[no-]leading-underscore
- preprocessor function macro parsing fix (grischka)

Intel C++ Compiler application is a full fledged C/C++ compiler and debugger suite. Its aim is to provide outstanding performance for all Intel 32-bit and 64-bit processors, while not requiring the need for porting applications from other compilers.

It provides optimization technology, threaded application support, and features to take advantage of Hyper-Threading technology. It is substantially source and object code compatible with GNU C, providing fullest compatibility with GCC and G++ 3.x/4.x both in terms of code and of API. It is thereby also easy to integrate with existing development environments.

Mumps is a general purpose programming language that supports a native hierarchical data base facility. It is supported by a large user community (mainly biomedical), and a diversified installed application software base. The language originated in the mid-60s at the Massachusetts General Hospital and it became widely used in both clinical and commercial settings. A dwindling number of implementations exist for the language. There are both ANSI, ISO (ISO/IEC 11756:1992) and DOD approved standards for Mumps.

As originally conceived, Mumps differed from other mini-computer based languages of the late 1960s by providing: 1) an easily manipulated hierarchical (multi-dimensional) data base that was well suited to representing medical records; 2) flexible string handling support; and (3) multiple concurrent tasks in limited memory on very small machines. Syntactically, Mumps is based on an earlier language named JOSS and has an appearance that is similar to early versions of Basic that were also based on JOSS.

This translator implements much of the most recent Mumps standard (see the manual). Mumps programs are translated to standard C++ programs and subsequently compiled to binary executables. This distribution contains the compiler source code, the manual, the run-time functions source code, all written in C/C++, and examples, written in Mumps. Also included is a stand-alone Mumps Interpreter for Windows XP and Linux. Click here for additional details.

The MDH (Multi-Dimensional and Hierarchical Data Base Toolkit) is a Linux-based, open sourced, toolkit of portable software that supports very fast, flexible, multi-dimensional and hierarchical storage, retrieval and manipulation of data bases ranging in size up to 256 terabytes. The package is written in C and C++ and is available under the GNU GPL/LGPL licenses in source code form. You must install the Mumps Compiler in order to use the MDH.

python-inotify project is a Python interface to the inotify file notification system present in Linux 2.6.