Free linux programming software for linux

Felix is an advanced Algol like procedural programming language with a strong functional subsystem. It features ML style typing, first class functions, pattern matching, garabge collection, polymorphism, and has built in support for high performance microthreading, regular expressions and context free parsing.

The system provides a scripting harness so the language can be used like other scripting languages, but underneath it generates native code to obtain high performance.

A key feature of the system is that it uses the C++ object model, and provides an advanced binding sublanguage to support integration with C++ at both the source and object levels, both for embedding C++ data types and functions into Felix, and for embedding Felix into exitsing C++ architectures.

The Felix compiler is written in Objective Caml, and generates ISO C++ which should compile on any platform.

AFNIX is a multi-threaded functional programming language with dynamic symbol bindings that support the object oriented paradigm. AFNIX programming language features a state of the art runtime engine that supports both 32 and 64 bits platforms.
AFNIX is distributed with several clients and a rich set of libraries that are designed to be platform independent. For a short description, you can look at the contents or for a short introduction, you can look at the tutorial.
A flexible license has been designed for both individuals and corporations. Everybody is encouraged to use, distribute and/or modify the AFNIX engine for any purpose. You can register on our mailing list. We issue news once a month. Your email address is covered by our strict privacy policy.
AFNIX is a powerful engine associated with a rich set of libraries. The interpreter is written in C++. Its modular architecture makes the installation and maintenance an easy task.
AFNIX has a rich syntax which make the functional programming a pleasant activity. AFNIX is ready for use on various UNIX platforms. A rich documentation is also provided as a guide and reference material.
Enhancements:
- This is a minor release that fixes the build process with GCC 4.2.

Tom is a software environment for defining transformations in Java. TOM programming language is an extension of Java designed to manipulate tree structures and XML documents. It is compatible with Java: a Java program is a correct Tom program.
Data are represented using an efficient tree based data-structure. Java built-ins (int, char, String, etc) can be used. Tom provides pattern matching facilities to inspect objects and retrieve values. A powerful strategy language can be used to control transformations.
Enhancements:
- The Eclipse plugin is now available again.
- In the %match construct, the sort of the subject is now optional.
- It is automatically inferred from the patterns when possible.
- Gom generates congruence strategies and offers new functionalities, such as the length of a list.
- A new "!" construct can be used to denote anti-patterns.
- The strategy library has been extended such that strategy expressions can be matched, like any other term.
- A strategy can now take another strategy in its argument.
- Support for Java bytecode analysis and transformation has been added.

Transmuter Programming Language is an extremely dynamic, biologically-inspired prototyping language providing a framework for experimenting with naturally evolving systems of objects over the net, and for exploring new ideas about recombinant software, code morphing, and evolutionary programming.
Trans is also a very capable general-purpose programming language. Its fast, flexible, compact, object-oriented, highly extensible, and easy-to-learn. It can be used for rapid prototyping, or as a scripting language, an embedded language, a network server or client, a system of cooperating network nodes, a real-time control and monitoring system, and more.
Trans is not only typeless, but also classless. Instead of defining static classes, existing objects serve as prototypes for new objects. New objects are then extended or modified as desired. This modification can occur both statically at compile-time, or dynamically at run-time. Unlike most earlier prototyping languages, Trans uses a concatenation-based prototype system, with no pointers to parent object chains. Parent objects are simply copied into the new object being constructed, allowing for much faster references to inherited members and better object encapsulation. Inheritance is fine-grained, implemented at the member level rather than the object level.
Objects can be saved and loaded externally either as Trans source code, or in bytecode format in network byte-order (as in Java). All Trans source code is compiled to an internal bytecode representation before execution. Since the Trans compiler and interpreter are completely integrated, the compiler is directly accessible to the interpreter at run-time, and the interpreter is also directly accessible to the compiler at compile-time, allowing for complex macro constructs and expressions. Trans uses a fast single-pass compiler, allowing source code to be passed over the net to any Trans instance or server, with little impact in performance.
Trans includes support for integers, floating point numbers, ANSI and Unicode (UTF-16) strings, many builtin functions (including File I/O and TCP/IP Sockets), user-defined functions, and native functions. All functions are atomic objects, and can be passed around and manipulated like any other data item. Builtin functions are treated like user-defined functions, and must be defined before they are used. Native functions located in already-compiled external libraries can also be defined, called, and manipulated like any other data item, with type conversions handled automatically by Trans. And since Trans is implemented as a runtime library with an external API, it can also be embedded in other software environments, such as Java.
Trans also includes a rich assortment of operators, expressions, and statements. Many of these will be familiar to C and Java programmers, but there are significant additions, enhancements, and contextual differences. There are also several important modifiers controlling the disposition of members within an object at compile-time and run-time. A powerful regular expression engine similar to the engines found in Perl, Python, and other languages is also provided. Multiple threads are supported via a simple deterministic threading model.
Trans is relatively lightweight, designed to consume minimal resources such CPU, memory, disk, bandwidth, etc - an important feature in performance-critical real-time environments. The compiler and interpreter are written in C++ and integrated into one library module, using only standard C libraries and Berkeley v1.1 sockets, with no other dependencies. As much as possible, Trans is designed to be operating system and hardware independent, and is currently implemented on the Win32 and x86 Linux operating systems.
The design of Trans was influenced by many other languages, including C/C++, Java, JavaScript, Lisp, Self, Python, Ruby, Perl, and others.
Enhancements:
- This substantial release includes a new x86 Linux version, many language and built-in function enhancements, new optional syntaxes, true aliases, enhanced macro code generation/construction, restructured and restyled import objects and shell, library objects, more detailed examples, a new external API, and increased stability and speed.

KDE Simple Programming Tutorial is a tutorial for developing a KDE application.

With the only requirement of a little C++ knowledge, and using the latest KDE snapshots, the reader will learn how to build his/her first KDE application from a simple "Hello world" button to a Web browser with a DCOP interface that communicates with a bookmark application running in a separate process.

Theres also a spanish and a romanian version of the documentation.