Open Source Linux Compilers - Page 4
Sort By:
Compilers for Linux
View 1274 business solutions-
Try Google Cloud Risk-Free With $300 in CreditUse your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
-
Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
-
1
GCC toolchain for MSP430
Superseded by http://www.ti.com/tool/msp430-gcc-opensource
This is a port of the GNU C Compiler (GCC) and GNU Binutils (as, ld) for the embedded processor MSP430. Tools for debugging and download are provided (GDB, JTAG and BSL) Obsolete. See http://www.ti.com/tool/msp430-gcc-opensource or upstream GNU tools. -
2
XBasic
Basic programming language for Windows & Linux
XBasic is an integrated software development environment including an advanced compiler, edit/run/debug environment, and interactive GuiDesigner. Latest version 6.3.26-A dated 21-07-24 Most of the document is included in the latest versions. See : https://groups.io/g/MaxReasonsxBasic if you have questions, problems, etc. -
3
EiffelStudio is an Integrated Development Environment (IDE) that provides comprehensive facilities to programmers. It offers a comprehensive suite of tools that enable programmers to produce correct, reliable, and maintainable software while keeping control of the development process. If you want to create fast, robust, scalable applications, then EiffelStudio™ will offer you a cost-effective solution. Imagine being able to model your system as you think – capturing your requirements and your thought processes with EiffelStudio. When ready to design, you build upon the model you just created, still with EiffelStudio. Then you implement with EiffelStudio. You never need to throw anything out and start over. You don’t need extra tools to go back and safely make changes in your architecture. Roundtrip engineering? It’s built in by design. Testing, metrics and productivity tools? They’re built in. EiffelStudio accommodates quickly and efficiently new thoughts and changes.
-
4
4tH compiler
A Forth compiler with a little difference
4tH is a Forth compiler with a little difference. Instead of the standard Forth engine it features a conventional compiler. 4tH is a very small compiler that can create bytecode, C-embeddable bytecode, standalone executables, but also works fine as a scripting language. It supports about 95% of the ANS Forth CORE wordset and features conditional compilation, pipes, files, assertions, forward declarations, enumerations, structures, suspended execution, recursion, include files, etc. It comes with an RPN calculator, BASIC interpreter, line editor, preprocessor, compiler, decompiler, C-source generator, a virtual machine, and a multitasking environment. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
-
5
Gleam
A friendly language for building type-safe, scalable systems!
Gleam's powerful static type system helps find and prevent bugs at compile time, long before it reaches your users. It also serves as a productive refactoring tool, enabling programmers to confidently make large changes to unfamiliar code, quickly and with low risk. For problems, the type system can't solve (such as your server being hit by a bolt of lightning) the Erlang virtual machine provides well-tested mechanisms for gracefully handling failure. Hunting down bugs can be stressful so Gleam's compiler provides clear and helpful feedback about any problems. We want to spend more time developing features and less time looking for bugs or deciphering cryptic error messages. Gleam builds on top of the Erlang virtual machine, a best-in-class runtime that has enabled companies such as Discord, Ericsson, Heroku, and WhatsApp to provide low-latency services at a global scale. Gleam takes full advantage of the Erlang runtime and adds no overhead of its own. -
6
Haste
A GHC-based Haskell to JavaScript compiler
A compiler to generate JavaScript code from Haskell. It even has a website and a mailing list. Seamless, type-safe single program framework for client-server communication. Support for modern web technologies such as WebSockets, WebStorage and Canvas. Simple JavaScript interoperability. Generates small, fast programs. Supports all GHC extensions except Template Haskell. Uses standard Haskell libraries. Cabal integration, simple, one-step build; no need for error prone Rube Goldberg machines of Vagrant, VirtualBox, GHC sources and other black magic. Concurrency and MVars with Haste.Concurrent. Unboxed arrays, ByteArrays, StableNames and other low level features. Low-level DOM base library. You have three options for getting Haste: installing from Hackage, from Github or from one of the pre-built binary packages. -
7
Hy
A dialect of Lisp that's embedded in Python
Hy is a multi-paradigm general-purpose programming language in the Lisp family. It’s implemented as a kind of alternative syntax for Python. Compared to Python, Hy offers a variety of extra features, generalizations, and syntactic simplifications, as would be expected of a Lisp. Compared to other Lisps, Hy provides direct access to Python’s built-ins and third-party Python libraries, while allowing you to freely mix imperative, functional, and object-oriented styles of programming. The first thing a Python programmer will notice about Hy is that it has Lisp’s traditional parenthesis-heavy prefix syntax in place of Python’s C-like infix syntax. As in other Lisps, the value of a simplistic syntax is that it facilitates Lisp’s signature feature, metaprogramming through macros, which are functions that manipulate code objects at compile-time to produce new code objects, which are then executed as if they had been part of the original code. -
8
OCaml
The core OCaml system: compilers, runtime system, base libraries
OCaml is a general-purpose, industrial-strength programming language with an emphasis on expressiveness and safety. OCaml’s powerful type system means more bugs are caught at compile-time, and large, complex codebases are easier to maintain. This makes it a good language for running critical code. At the same time, sophisticated inference makes the type system unobtrusive, creating a smooth developer experience. OCaml has two compilers. One is a bytecode compiler that generates small, portable executables and is very fast. The other is a native code compiler that produces more efficient machine code; its performance matches the highest standards of modern compilers. OCaml has great support for the most popular editors. VS Code is recommended for beginners, and for power users there is deep integration with Vim and Emacs. OCaml has a rich and dynamic community and best-in-class tooling. -
9
PackageCompiler
Compile your Julia Package
Julia is, in general, a "just-barely-ahead-of-time" compiled language. When you call a function for the first time, Julia compiles it for precisely the types of arguments given. This can take some time. All subsequent calls within that same session use this fast compiled function, but if you restart Julia you lose all the compiled work. PackageCompiler allows you to do this work upfront — further ahead of time — and store the results for a lower latency startup. You can save loaded packages and compiled functions into a file (called a sysimage) that you pass to Julia upon startup. Typically the goal is to reduce latency on your machine; for example, you could load the packages and compile the functions used in common plotting workflows using that saved image by default. In general, sysimages are not relocatable to other machines; they'll only work on the machine they were created on. -
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
-
10
Parcel
The zero configuration build tool for the web
Parcel combines a great out-of-the-box development experience with a scalable architecture that can take your project from just getting started to a massive production application. Parcel starts with a great development experience, from starting a new project to iterating and debugging, and shipping to production. No more fiddling with configuration, or spending hours to keep up with best practices – it just works! Parcel supports many languages and file types out of the box, from web technologies like HTML, CSS, and JavaScript, to assets like images, fonts, videos, and more. And when you use a file type that isn't included by default, Parcel will automatically install all of the necessary plugins and dev dependencies for you! Parcel includes a development server out of the box. Just run parcel index.html to get started. When you make a change, Parcel automatically updates your code in the browser, no page reload necessary! -
11
Scala.js
Scala.js, the Scala to JavaScript compiler
Strong typing guarantees your code is free of silly mistakes; no more mixing up strings or numbers, forgetting what keys an object has, or worrying about typos in your method names. Scala.js takes care of all this tedious book-keeping for you, letting you focus on the actual, more interesting problem your application is trying to solve. Scala.js optimizes your Scala code into highly efficient JavaScript. Incremental compilation guarantees speedy (1-2s) turn-around times when your code changes. The generated JavaScript is both fast and small, starting from 45kB gzipped for a full application. Scala.js loves JavaScript libraries, including React and AngularJS. You can use any JavaScript library right from your Scala.js code, either in a statically or dynamically typed way. You won't even notice you're crossing a language border! -
12
ncc
Compile a Node.js project into a single file
Simple CLI for compiling a Node.js module into a single file, together with all its dependencies, gcc-style. Publish minimal packages to npm. Only ship relevant app code to serverless environments Don't waste time configuring bundlers, it is generally faster bootup time and less I/O overhead. Compiled language-like experience (e.g.: go). For testing and debugging, a file can be built into a temporary directory and executed with full source maps support. Some packages may need some extra options for ncc support in order to better work with the static analysis. See package-support.md for some common packages and their usage with ncc. -
13
Squirrel is a light weight programming language featuring higher-order functions,classes/inheritance,delegation,tail recursion,generators,cooperative threads,exception handling, reference counting and garbage collection on demand. C-like syntax.
-
14
Lexical Analyzer Generator Quex
Generator of lexical analyzers in C and C++. Unicode Supported.
The goal of this project is to provide a generator for lexical analyzers of maximum computational efficiency and maximum range of applications. This includes the support for Unicode (UTF8, UTF16, ...) and a large variety of other encodings directly and via nested converters such as ICU(tm) and IConv. Sophisticated buffer handling allows to operate on plain file streams, on sockets, or manually fed buffer content. 'Ready-to-build' examples explain related concepts and facilitate practical applications. -
15
z390 Portable Mainframe Assembler
z390 Portable Mainframe Assembler and Emulator
z390 Portable Mainframe Assembler and Emulator -
16
In this project we aim to develop scheme libraries for developing various web applications (especially servlets and xml-based web services). Our approach is to use jscheme (an open source implementation of scheme in Java) as the core language which allow
-
17
Virtual T is a TRS-80 Model 100/102/200 emulator that runs on Windows, Linux, and Macintosh. The goal of Virtual T is to provide 100% hardware emulation so any existing programs will run. It also adds powerful development and debugging tools.
-
18
Jar Explorer is a simple, easy-to-use application to browse the contents of jar files. It also includes a class decompiler.
-
19
The Open Fortran Project (OFP) provides a Fortran 2008 compliant parser and associated tools. These tools provide a Java and C API for actions called when parser rules are completed. It also provides Fortran interfaces to the OpenCL runtime (new). IMPORTANT NOTICE: The Open Fortran Project has switched to using a parser based on SDF (Syntax Definition Formalism). Please consider using our new work at https://github.com/OpenFortranProject/ofp-sdf. While the SDF parser is not as advanced as the ANTLR-based parser, it provides much more capabilities, including a term rewriting system for creating a Fortran AST (Abstract Syntax Tree) using Stratego/XT (see http://strategoxt.org) and other custom program transformations. The OFP ANTLR-based parser is no longer under active development.
-
20
"Aubit 4GL" is a project to make GPL, OpenSource, Informix-4GL compatible compiler, and continue to extend functionality needed to write most efficient and productive business related, database oriented applications. See "Home Page" link for more.
-
21
The aim of this project is to develope a decompiler for java which is platform independent and has options to obfuscate the class file also. The project takes class file as input and decompiles it and provides the source file.
-
22
CSharp.lua
The C# to Lua compiler
The C# to Lua compiler. CSharp.lua is a C# to Lua compiler. Write C# then run on lua VM. -
23
Elm
Compiler for Elm, a functional language for reliable webapps
Elm uses type inference to detect corner cases and give friendly hints. NoRedInk switched to Elm about four years ago, and 300k+ lines later, they still have not had to scramble to fix a confusing runtime exception in production. The compiler guides you safely through your changes, ensuring confidence even through the most wide-reaching refactorings in unfamiliar codebases. Including your own, six months later. All Elm programs are written in the same pattern, eliminating doubt and lengthy discussions when deciding how to build new projects and making it easy to navigate old or foreign codebases. Enjoy Elm's famously helpful error messages. Even on codebases with hundreds of thousands of lines of code, the compilation is done in a blink. Elm has its own virtual DOM implementation, designed for simplicity and speed. All values are immutable in Elm, and the benchmarks show that this helps us generate particularly fast JavaScript code. -
24
Idris 2
A purely functional programming language with first class types
In type-driven development, types are tools for constructing programs. We treat the type as the plan for a program, and use the compiler and type checker as our assistant, guiding us to a complete program that satisfies the type. The more expressive the type is that we give up front, the more confidence we can have that the resulting program will be correct. In Idris, types are first-class constructs in the language. This means types can be passed as arguments to functions, and returned from functions just like any other value, such as numbers, strings, or lists. This is a small but powerful idea, enabling relationships to be expressed between values; for example, that two lists have the same length. Assumptions to be made explicit and checked by the compiler. For example, if you assume that a list is non-empty, Idris can ensure this assumption always holds before the program is run. -
25
KSP
Kotlin Symbol Processing API
KSP is Kotlin’s lightweight, idiomatic alternative to Java annotation processing that gives compile-time access to Kotlin program structure. Rather than forcing Kotlin through Java’s annotation APIs, it exposes Kotlin-first symbols—classes, functions, properties, types—so processors can generate code efficiently. The design dramatically reduces incremental build overhead by operating directly on symbols without compiling stubs, which speeds up large multi-module projects. Processors run as Gradle plugins, participate in incremental builds, and can target common use cases like DI bindings, JSON adapters, or UI glue code. Because the API reflects Kotlin semantics (nullability, visibility, type aliases, etc.), generated code aligns cleanly with Kotlin style and tooling.
