Coding apps and software for developer

ISWIM (If You See What I Mean) is a conceptual programming language introduced by Peter J. Landin in 1966, pioneering functional programming. It introduced the SECD machine, lazy evaluation, and lambda calculus as core principles, influencing ML, Haskell, and Scheme. The syntax closely resembles mathematical notation, leveraging indentation-based structure rather than traditional brackets. It lacks direct operational semantics, serving as a high-level model rather than a practical implementation. The call-by-value and call-by-name evaluation strategies were explored within its theoretical foundation. ISWIM introduced where clauses for local bindings, inspiring later languages' scoped variables. Though never fully implemented, ISWIM’s concepts remain foundational in modern programming paradigms.

Software Requirements::- Since ISWIM has no direct implementation, use functional programming environments like GHC (Haskell), OCaml, or ML. Requires any text editor or IDE that supports functional languages, such as VS Code, Emacs, or IntelliJ IDEA. A compatible compiler or interpreter for functional programming paradigms. Hardware Requirements:- Minimum 2 GHz processor for compiling functional programs efficiently. At least 4GB RAM, though 8GB+ is recommended for larger computations. 50MB+ disk space, depending on the functional language environment installed.

Latest version 1966 release on October 1, 1966

ISWIM Long terms supported version is 1966

Supported OS : Windows, Mac Os, LINUX

Hume, an acronym for "Higher-order Unified Meta-Environment," is a functional programming language crafted for real-time embedded systems. Developed since 2000 by the University of St Andrews and Heriot-Watt University, it harmoniously blends functional programming paradigms with finite-state automata concepts. This fusion structures programs into "boxes," each mapping inputs to outputs through high-level pattern matching, ensuring both high abstraction and precise time-space execution cost analysis. Such design facilitates guarantees on bounded time and space demands, making Hume apt for applications ranging from simple microcontrollers to complex real-time systems like smartphones. Its architecture comprises three layers: a static declaration/metaprogramming layer, an intermediate coordination layer outlining dynamic processes and associated devices, and an inner layer depicting each process as a dynamic mapping from patterns to expressions. This meticulous layering ensures that while Hume offers high-level abstractions, it remains grounded in the essential properties required for embedded systems, especially transparent time and space costing.

Software Requirements:- A compatible operating system: macOS or Red Hat Linux Standard development tools and libraries associated with the chosen OS Hume compiler and interpreter packages Hardware Requirements:- Processor: IA-32 or PowerPC architecture Memory: Minimum 512 MB RAM (1 GB recommended) Storage: At least 100 MB of free disk space for installation

Latest version 0.8 release on April 25, 2008

Hume Long terms supported version is 0.8

Supported OS : Linux, MacOS

The Fluency Programming Language (FPL) is an innovative tool designed to streamline data and API aggregation, enhancing the efficiency of security operations. Developed by Fluency Security, FPL enables users to write scripts that seamlessly integrate various data sources, facilitating comprehensive analysis and reporting. Its intuitive syntax and robust functionality make it a valuable asset for professionals seeking to optimize their security workflows.

Software Requirements:- Compatible operating system (Windows, Linux, or macOS) Python 3.6 or higher installed Necessary permissions to install and run applications Hardware Requirements:- Minimum of 4 GB RAM At least 500 MB of available disk space Modern processor (1 GHz or faster)

Latest version v2 release on February 13, 2024

Fluency Long terms supported version is v2

Supported OS : Windows, Mac Os, LINUX

Faust (Functional Audio Stream) is a domain-specific, purely functional programming language designed for real-time signal processing and synthesis. It excels in creating high-performance audio applications, plug-ins, and libraries by translating DSP specifications into efficient C++ code. Faust's unique approach combines functional programming with a block diagram syntax, allowing developers to model complex audio processes intuitively. This design facilitates the creation of synthesizers, audio effects, and musical instruments with precision and efficiency. The language's versatility enables deployment across various platforms and standards, making it a powerful tool for audio developers seeking both performance and portability.

Software Requirements:- Windows: Requires Windows 7 or later; a compatible C++ compiler (e.g., Visual Studio); and optionally, development environments like Visual Studio Code for enhanced coding support. Linux: Needs a modern Linux distribution; GCC or Clang compiler; and essential development libraries, which can typically be installed via the system's package manager. macOS: Compatible with macOS 10.12 or later; Xcode with command-line tools installed; and optionally, Homebrew for managing dependencies. Hardware Requirements:- Processor: A multi-core processor is recommended to efficiently handle real-time audio processing tasks. Memory: At least 4 GB of RAM is advisable to ensure smooth operation during development and execution. Storage: Approximately 500 MB of available disk space is needed for the Faust installation and associated files.

Latest version 2.75.7 release on September 19, 2024

FAUST Long terms supported version is 2.75.7

Supported OS : Windows, Mac Os, LINUX

Euphoria is a high-level, imperative programming language that harmoniously blends simplicity with power, offering a streamlined syntax that minimizes complexity and enhances readability. Designed for rapid development, it employs dynamic typing and automatic garbage collection, allowing developers to focus on crafting efficient algorithms without being encumbered by low-level memory management. Its versatile nature supports cross-platform deployment, encompassing Windows, Linux, macOS, and various BSD systems. Euphoria's core is built around four fundamental data types, facilitating a straightforward yet expressive coding paradigm. The language's extensibility is showcased through its seamless integration with C libraries and support for multiple GUI frameworks, including Win32lib and wrappers for wxWidgets, GTK+, and IUP. With an active open-source community, Euphoria continues to evolve, embracing modern programming paradigms while maintaining its commitment to simplicity and performance.

Software Requirements:- Windows: Requires Windows 95 or any later version. Linux: Compatible with any reasonably up-to-date Linux distribution. macOS: Supports macOS; specific version requirements are not detailed. Hardware Requirements:- Processor: x86 compatible CPU. Memory: Minimum 32 MB RAM; more is recommended for larger projects. Storage: At least 50 MB of free disk space for installation; additional space may be required for projects and libraries.

Latest version 4.1.0 release on March 1, 2021

Euphoria Long terms supported version is 4.1.0

Supported OS : Windows, Mac Os, LINUX

Epigram is a highly expressive functional programming language focused on dependently-typed design, a sophisticated variant of type theory. Inspired by the Curry-Howard correspondence, it brings together mathematics and computation, making programs act as proofs of their correctness. Through dependent types, Epigram allows for the creation of functions where types depend on values, ensuring more powerful abstractions in software development. It also emphasizes refinement, encouraging precise and formal expressions, particularly suitable for high-assurance systems. Epigram integrates features like first-class dependent functions and inductive types, fostering creativity and safety in complex applications. It draws from advanced type systems to offer compile-time error checking that can prevent runtime bugs. The language aims to be a tool for both research and practical application, targeting those who seek to bridge the gap between theoretical and real-world programming.

Software Requirements:- Epigram requires a Unix-based operating system (Linux or macOS), or Windows with Cygwin/WSL. Dependencies include a functional programming environment such as GHC (Glasgow Haskell Compiler) and support for dependent types libraries. It may require additional libraries like libgmp or libraries for Haskell-based tools. Hardware Requirements:- A modern CPU (preferably 64-bit) is recommended for better performance, especially when compiling complex types. At least 2 GB of RAM is necessary, with 4 GB or more for larger programs. A stable internet connection for downloading dependencies and tools.

Latest version 2014 release on January 1, 2014

Epigram Long terms supported version is 2014

Supported OS : Windows, Mac Os, LINUX

CHILL, an acronym for CCITT High Level Language, is a procedural programming language specifically designed for telecommunication systems. Emerging in the 1980s, it was tailored to meet the complex needs of telecommunication switching and control operations. CHILL offers robust support for real-time processing, modularity, and concurrency, making it adept at handling the intricate demands of telecom infrastructures. Its syntax and structure draw inspiration from languages like Pascal and ALGOL, promoting readability and maintainability. Despite its niche application, CHILL played a pivotal role in standardizing telecom software development, ensuring reliability and efficiency in global communications. Over time, as technology evolved, CHILL's prominence diminished, giving way to more modern languages, but its legacy in the telecom industry remains significant.

Software Requirements:- OS: Requires legacy Unix-based or older Linux/Windows systems. Compiler: GCC 2.95 (last to support CHILL) from GCC archive. IDE: Basic text editor or legacy-supported IDE. Hardware Requirements:- Processor: Any x86 or compatible processor. RAM: Minimum 512 MB. Storage: At least 500 MB free space.

Latest version 3.0 release on January 1, 2003

CHILL Long terms supported version is 3.0

Supported OS : Windows, Linux

Aldor is a multi-paradigm programming language that elegantly fuses imperative, functional, and object-oriented concepts. Its sophisticated type system treats types and functions as first-class citizens, enabling dynamic construction and manipulation within programs. Originally crafted as an extension for the Axiom computer algebra system, Aldor's syntax draws inspiration from Pascal, offering optional indentation sensitivity akin to Python. This design facilitates a natural coding style, harmoniously blending the strengths of various programming paradigms. Aldor empowers developers to write expressive and efficient code, making it particularly well-suited for complex mathematical computations.

Software Requirements:- C compiler (e.g., GCC) GNU build tools: libtool, autoconf, automake Standard libraries compatible with the target OS Hardware Requirements:- Processor: Minimum 1 GHz RAM: At least 512 MB Storage: Approximately 100 MB of free disk space

Latest version 1.1.0 release on October 1, 2007

Aldor Long terms supported version is 1.1.0

Supported OS : Windows, Mac Os, LINUX

Imagine a symphony where statistics, programming, and inference harmoniously converge—that's Stan. Crafted in C++, Stan is a probabilistic programming language that empowers users to define complex statistical models with precision. Leveraging advanced algorithms like Hamiltonian Monte Carlo and the No-U-Turn Sampler, it ensures efficient and scalable Bayesian inference. Stan's flexibility shines through its seamless integration with languages such as R, Python, and Julia, catering to diverse analytical needs. Its robust framework supports both variational inference and optimization, making it a versatile tool for statisticians and data scientists. With Stan, the intricate dance of data modeling becomes both an art and a science, unlocking insights previously hidden in complexity. Dive into Stan, and orchestrate your data analyses with unparalleled finesse.

Software Requirements:- C++17 Compiler: Essential for model compilation. Build Utilities: Tools like make are necessary. Interface Packages: Such as RStan for R or PyStan for Python. Hardware Requirements:- Processor: Modern multi-core CPU recommended. Memory: At least 4 GB RAM; more for complex models. Storage: Sufficient disk space for data and outputs.

Latest version 2.36.0 release on December 10, 2024

Stan Long terms supported version is 2.36.0

Supported OS : Windows, Mac Os, LINUX

Refal, short for Recursive Functions Algorithmic Language, emerged in the 1960s as a functional language tailored for symbolic computations. Unlike traditional languages, Refal employs bidirectional sequences called "object expressions," enabling seamless pattern matching and transformation. Its unique approach allows for elegant solutions in string processing, language translation, and artificial intelligence applications. Over time, Refal has evolved, introducing higher-order functions and syntactic enhancements, culminating in dialects like Refal-5λ. This evolution has expanded its expressiveness while maintaining its core principles. Despite its niche adoption, Refal's influence persists in domains requiring sophisticated pattern matching and symbolic manipulation. Its design philosophy emphasizes clarity and mathematical precision, making it a fascinating study in the landscape of programming languages.

Software Requirements:- Windows: Windows 10+, Microsoft Visual C++ or GCC, .NET Framework 4.8.1+. Linux: Ubuntu 20.04+/Fedora/Debian, GCC/Clang, Standard C++ libraries. macOS: macOS 10.15+, Xcode with Clang, Command Line Tools installed. Hardware Requirements:- Processor: 1 GHz or faster; multi-core recommended for optimal performance. Memory: At least 2 GB RAM; 4 GB or more recommended for complex applications. Storage: Minimum 500 MB of available disk space for installation; additional space may be required for projects and dependencies.

Latest version 2.0 release on October 15, 2024

Refal Long terms supported version is 2.0

Supported OS : Windows, Mac Os, LINUX

Pop-11 is a dynamic, multi-paradigm language that elegantly fuses procedural, functional, and declarative programming styles. Born in 1975, it serves as the core of the Poplog environment, facilitating seamless integration with languages like Prolog, Common Lisp, and Standard ML. Its reflective and incrementally compiled nature empowers developers to write adaptable and efficient code. With an open stack model reminiscent of Forth, Pop-11 excels in symbolic computation, making it a favored choice for artificial intelligence research and education. The language's support for first-class functions and an advanced pattern matcher enhances its expressiveness, allowing for sophisticated list processing and pattern recognition tasks. Over the decades, Pop-11 has maintained its relevance, evolving with modern computing needs while retaining its unique charm. Its open-source availability since 1999 has ensured a thriving community and continuous development.

Software Requirements:- Windows: Requires a 32-bit or 64-bit version of Windows; compatibility with Windows 10 and later versions is recommended. Linux: A distribution with support for 32-bit applications is necessary; tested on Ubuntu, Fedora, CentOS, and Scientific Linux. Mac OS: Requires Mac OS X; specific version requirements are not detailed, but modern versions are likely supported. Hardware Requirements:- Processor: A modern 32-bit or 64-bit processor; performance benefits from higher clock speeds. Memory: At least 512 MB of RAM; 1 GB or more is recommended for optimal performance. Storage: Approximately 100 MB of available disk space for installation; additional space may be required for projects and libraries.

Latest version V16 release on January 1, 2020

Pop-11 Long terms supported version is V16

Supported OS : Windows, Mac Os, LINUX

Pict is a concurrent programming language rooted in the theoretical framework of the pi-calculus, emphasizing communication and process interactions. It builds upon a minimal core by incorporating a rich layer of syntactic sugar and a robust static type system, reminiscent of the ML family. Designed to explore high-level programming idioms, Pict facilitates the construction of complex concurrent computations through primitives that model dynamic communication channels. Its type system boasts features like higher-order polymorphism, recursive types, and subtyping, ensuring both flexibility and safety. The language's design encourages the development of protocols, data structures, and concurrent objects, making it a powerful tool for modeling intricate interactions. Pict's compiler translates code into C, providing efficiency and portability across platforms. This fusion of theoretical foundations with practical implementation makes Pict a compelling choice for exploring the depths of concurrent programming.

Software Requirements:- C Compiler (e.g., GCC for Linux, Clang for macOS, MSVC for Windows) Standard C Library Make utility for build automation Hardware Requirements:- Processor: 1 GHz or faster Memory: 512 MB RAM minimum Storage: 50 MB available disk space

Latest version 3.7.3 release on February 18, 2021

Pict Long terms supported version is 3.7.3

Supported OS : Windows, Mac Os, LINUX

NetRexx elegantly fuses the simplicity of Rexx with the robustness of Java, offering a seamless bridge between procedural and object-oriented paradigms. Designed for the Java Virtual Machine (JVM), it empowers developers to write clear and concise code that leverages the vast Java ecosystem. With its intuitive syntax, NetRexx reduces boilerplate, enhancing productivity and readability. It supports both compiled and interpreted execution, providing flexibility in development and deployment. The language's strong typing ensures safety, while its dynamic features allow for rapid prototyping. NetRexx's integration capabilities enable effortless utilization of existing Java libraries, making it a powerful tool for modern application development. Its open-source nature fosters a collaborative community, continually driving innovation and improvement.

Software Requirements:- Java Development Kit (JDK) version 8 or higher. NetRexx 4.06-GA package. Compatible Integrated Development Environment (IDE) or text editor. Hardware Requirements:- Processor: Minimum 1 GHz; multi-core recommended for optimal performance. Memory: At least 512 MB RAM; 1 GB or more recommended. Storage: Approximately 100 MB of available disk space for installation; additional space for projects and dependencies.

Latest version 4.06 release on March 2, 2024

NetRexx Long terms supported version is 4.06

Supported OS : Windows, Mac Os, LINUX

Little Smalltalk, conceived by Timothy Budd in the 1980s, is a minimalist incarnation of the Smalltalk language, emphasizing simplicity and portability. As a purely object-oriented language, it encapsulates data and behavior within objects, promoting modular and reusable code. Its compact design makes it an excellent tool for understanding the core principles of object-oriented programming and virtual machine implementation. Despite its lightweight nature, Little Smalltalk supports dynamic typing, garbage collection, and a rich set of collection classes. The language's interpreter is implemented in C, enhancing its portability across various platforms. Over time, it has evolved, inspiring several versions and forks, each contributing unique features while maintaining the original ethos of simplicity. Little Smalltalk remains a testament to the elegance of minimalist design in programming languages.

Software Requirements:- C compiler (e.g., GCC for Linux, MinGW for Windows, Xcode for macOS) Standard C libraries Make utility for build automation Hardware Requirements:- Processor: 1 GHz or higher RAM: 512 MB minimum Storage: 10 MB of available disk space

Latest version 5.0 release on August 8, 2014

Little Smalltalk Long terms supported version is 5.0

Supported OS : Windows, Mac Os, LINUX

Lambda Prolog is a logic programming language that extends traditional Prolog with higher-order logic, enabling the representation of complex functional abstractions. Unlike Prolog, it allows functions as arguments and supports variable-binding mechanisms, making it suitable for research in both logic programming and functional programming paradigms. Lambda Prolog’s syntax closely resembles that of Prolog, with a few enhancements for handling lambda calculus. It embraces polymorphic types, making it a more expressive language for solving computational problems. It incorporates advanced features such as type inference and abstract interpretation. By leveraging higher-order logic, Lambda Prolog can model concepts that are difficult in traditional Prolog, including control structures and object-oriented concepts. This makes it a go-to language for advanced computational logic research and programming language theory.

Software Requirements:- Java Runtime Environment (JRE) 11 or newer Compatible web browser for accessing documentation GCC 10.1 or later for compiling dependencies Hardware Requirements:- At least 4 GB of RAM 500 MB of available storage for installation 1 GHz processor (Dual-core recommended)

Latest version 2.5 release on November 10, 2024

Lambda Prolog Long terms supported version is 2.5

Supported OS : Windows, Mac Os, LINUX

JAL, or Just Another Language, is a high-level, Pascal-like programming language meticulously crafted for Microchip's 8-bit PIC microcontrollers. It offers a free-format syntax, enabling developers to write clear and maintainable code. The language boasts robust support for 8, 16, and 32-bit data types, both signed and unsigned, along with user-definable types. Automatic bank and page handling streamline memory management, while seamless inline assembly integration caters to performance-critical applications. JAL's rich standard library and modular architecture empower developers to efficiently harness the capabilities of PIC microcontrollers. Its open-source nature fosters a collaborative community, continually enhancing its features and libraries. With JAL, embedded systems programming becomes both accessible and powerful, bridging the gap between high-level abstraction and low-level hardware control.

Software Requirements:- Operating System: Windows (Win98 or later), Linux, FreeBSD, or macOS. ANSI C Compiler (for compiling from source on non-Windows systems). Text Editor or Integrated Development Environment (IDE) for code development. Hardware Requirements:- Processor: Minimum 486-33 MHz; recommended Pentium or higher. Memory: At least 8 MB RAM; more is recommended for larger projects. Storage: Sufficient disk space for the compiler, libraries, and project files.

Latest version 0.4.59 release on April 9, 2013

JAL (Just Another Language) Long terms supported version is 0.4.59

Supported OS : Windows, Mac Os, LINUX

Amber is a modern, type-safe programming language that compiles directly into Bash scripts, offering a more robust and readable approach to shell scripting. With a syntax reminiscent of Ruby or Rust, Amber enhances code clarity and maintainability. It introduces compile-time checks, reducing runtime errors and ensuring safer script execution. Designed for cloud services, Amber simplifies complex scripting tasks with high-level abstractions. Its standard library, though concise, provides essential functions to streamline script development. Amber is self-hosted, written in Rust, and distributed as a single binary for ease of use. By bridging modern programming paradigms with traditional shell scripting, Amber empowers developers to write efficient and reliable scripts effortlessly.

Software Requirements:- Operating System: Windows 10 or later, macOS 10.15 or later, or a modern Linux distribution. Rust toolchain for building from source (if not using pre-built binaries). Bash shell installed (version 4.0 or higher recommended). Hardware Requirements:- Processor: 1 GHz or faster. Memory: 512 MB RAM minimum. Storage: 100 MB of available disk space.

Latest version 0.4.0 release on December 21, 2024

Amber Long terms supported version is 0.4.0

Supported OS : Windows, Mac Os, LINUX

Cilk++ is an extension of C++ designed to simplify multithreaded parallel computing. It introduces keywords like cilk_spawn, cilk_sync, and cilk_for to enable developers to express parallelism effortlessly. The language employs a "work-stealing" scheduler, dynamically balancing tasks across processors to optimize performance. Originally developed by Cilk Arts, it was later acquired by Intel and evolved into Cilk Plus. After Intel discontinued support in 2017, MIT continued its development under the OpenCilk project. Cilk++ empowers developers to harness the power of multicore processors, making parallel programming more accessible and efficient. Its integration with C++ ensures compatibility while providing powerful tools for concurrent execution.

Software Requirements:- Windows: A compatible C++ compiler (e.g., Microsoft Visual C++), and the latest Microsoft Visual C++ Redistributable packages. Linux: GCC compiler with Cilk support; ensure glibc version 2.12 or newer is installed. macOS: Xcode with Clang compiler supporting Cilk extensions. Hardware Requirements:- Processor: Multi-core processor (quad-core or better recommended) to effectively utilize parallelism. Memory: Minimum of 4 GB RAM; 8 GB or more recommended for larger projects. Storage: Solid State Drive (SSD) recommended for faster build times and improved performance.

Latest version 1.2 release on December 1, 2010

Cilk++ Long terms supported version is 1.2

Supported OS : Windows, Mac Os, LINUX

Lux is an innovative, functional, statically-typed Lisp designed for cross-platform versatility. Drawing inspiration from Clojure's syntax, Haskell's functional paradigms, and Standard ML's polymorphism, it offers a rich tapestry for developers. Lux supports multiple concurrency models, including threads, asynchronous programming, and the actor model, ensuring robust performance. Its extensible architecture allows for macro-based syntax and semantic enhancements, fostering adaptability. Currently in beta, Lux compiles to JVM bytecode and supports platforms like JavaScript, Python, Lua, and Ruby, making it a powerful tool for polyglot projects.

Software Requirements:- Windows: Java Development Kit (JDK) 8 or higher; a compatible text editor or Integrated Development Environment (IDE). Linux: Java Development Kit (JDK) 8 or higher; build-essential tools for compiling; a compatible text editor or IDE. macOS: Java Development Kit (JDK) 8 or higher; Xcode command-line tools; a compatible text editor or IDE. Hardware Requirements:- Processor: 1 GHz or faster processor. Memory: 512 MB RAM minimum; 1 GB or more recommended for larger projects. Storage: At least 350 MB of available disk space for installation; additional space for project files as needed.

Latest version 0.8.0 release on September 13, 2023

Lux Long terms supported version is 0.8.0

Supported OS : Windows, Mac Os, LINUX

Converge is a dynamically typed, object-oriented programming language that uniquely blends runtime flexibility with compile-time meta-programming. Its standout feature is the ability to embed domain-specific languages (DSLs) directly into source code, thanks to its powerful macro system. This facilitates the creation of highly customized and efficient code tailored to specific problem domains. Converge's syntax and semantics draw inspiration from various languages, aiming to provide a coherent and practical development experience. Its design philosophy emphasizes pragmatism, allowing developers to leverage proven programming paradigms within a single, cohesive framework. The language supports seamless integration of different programming styles, promoting both developer productivity and code maintainability. Overall, Converge offers a versatile platform for developers seeking to harness the power of meta-programming in their applications.

Software Requirements:- Windows: Windows 10+, Python 2.7+, GCC or compatible C compiler. Linux: Kernel 2.6+, Python 2.7+, GCC or compatible C compiler. Mac OS: macOS 10.9+, Python 2.7+, Xcode with CLI tools. Hardware Requirements:- Intel/AMD x86/x64 processor, 1 GB RAM, 100 MB disk space (all platform

Latest version 2.1 release on February 25, 2014

Converge Long terms supported version is 2.1

Supported OS : Windows, Mac Os, LINUX