Open Source Linux Compilers - Page 3
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Compilers for Linux
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OpenJ9
A Java Virtual Machine for OpenJDK
A Java Virtual Machine for OpenJDK that's optimized for small footprint, fast start-up, and high throughput. Builds on Eclipse OMR and combines with the Extensions for OpenJDK for OpenJ9 repo. We're not sure which route you might have taken on your way here, but we're really pleased to see you! If you came directly from our website, you've probably already learned a lot about Eclipse OpenJ9 and how it fits into the OpenJDK ecosystem. Eclipse OpenJ9 is an independent implementation of a Java Virtual Machine. "Independent implementation" means it was built using the Java Virtual Machine specification without using any code from any other Java Virtual Machine. The OpenJ9 JVM combines with the Java Class libraries from OpenJDK to create a complete JDK tuned for footprint, performance, and reliability that is well suited for cloud deployments. The original source contribution to OpenJ9 came from the IBM "J9" JVM which has been used in production by thousands of Java applications. -
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Roslyn
The .NET Compiler Platform
Roslyn provides rich, code analysis APIs to open source C# and Visual Basic compilers. This enables you to access a wealth of information about your code from compilers, which you can then use for code-related tasks in your tools and applications. Roslyn dramatically lowers the barrier to entry for creating code-focused tools and applications, creating many opportunities for innovation. -
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mtail
Extract internal monitoring data from application logs
Extract internal monitoring data from application logs for collection in a time-series database. mtail is a tool for extracting metrics from application logs to be exported into a timeseries database or timeseries calculator for alerting and dashboarding. It fills a monitoring niche by being the glue between applications that do not export their own internal state (other than via logs) and existing monitoring systems, such that system operators do not need to patch those applications to instrument them or writing custom extraction code for every such application. The extraction is controlled by mtail programs which define patterns and actions. Metrics are exported for scraping by a collector as JSON or Prometheus format over HTTP, or can be periodically sent to a collectd, StatsD, or Graphite collector socket. Precompiled binaries for released versions are available in the Releases page on Github. Using the latest production release binary is the recommended way of installing mtail. -
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u-root
A fully Go userland with Linux bootloaders
A fully Go userland with Linux bootloaders! u-root can create a one-binary root file system (initramfs) containing a busybox-like set of tools written in Go. -
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CDK4AVR stands for Cross Development Kit for Atmels AVR RISC processor serie and should you support with a comprehensive Assembler and C development environment for even this processor familie under Linux or similar host systems.
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X11-Basic
A BASIC interpreter and compiler with graphics.
X11-Basic is a dialect of the BASIC programming language with graphics capability that integrates features like shell scripting, cgi-Programming and full graphical visualisation into the easy to learn basic language on modern computers. -
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GHC (Glasgow Haskell Compiler)
Mirror of the Glasgow Haskell Compiler
GHC (Glasgow Haskell Compiler) is the leading open-source compiler and interactive environment for the Haskell programming language, supporting the Haskell 2010 standard plus numerous language extensions. It compiles to native machine code (via LLVM or C), and includes the interactive GHCi REPL. For full information on building GHC, see the GHC Building Guide. Here follows a summary - if you get into trouble, the Building Guide has all the answers. For building library documentation, you'll need Haddock. To build the compiler documentation, you need Sphinx and Xelatex (only for PDF output). -
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Numba
NumPy aware dynamic Python compiler using LLVM
Numba is an open source JIT compiler that translates a subset of Python and NumPy code into fast machine code. Numba translates Python functions to optimized machine code at runtime using the industry-standard LLVM compiler library. Numba-compiled numerical algorithms in Python can approach the speeds of C or FORTRAN. You don't need to replace the Python interpreter, run a separate compilation step, or even have a C/C++ compiler installed. Just apply one of the Numba decorators to your Python function, and Numba does the rest. Numba is designed to be used with NumPy arrays and functions. Numba generates specialized code for different array data types and layouts to optimize performance. Special decorators can create universal functions that broadcast over NumPy arrays just like NumPy functions do. Numba also works great with Jupyter notebooks for interactive computing, and with distributed execution frameworks, like Dask and Spark. -
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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. -
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Rust Programming Language
Empowering everyone to build reliable and efficient software
The Rust Programming Language is a language that empowers you to build reliable and efficient software. It runs blazingly fast and is memory-efficient, so it can power performance-critical services and run on embedded devices. It has a rich type system and ownership model, ensuring both thread and memory safety. Consisting of a standard library, great documentation and a friendly compiler, plus a top-notch build tool, package manager, auto-formatter and many other great tools, it’s the language of choice for increased productivity. Hundreds of companies the world over are using Rust to power an amazing range of cross-platform solutions. See what a great fit Rust can be for your own projects! -
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GNU Prolog
The GNU Prolog native compiler
GNU Prolog is a free implementation (under GPL) of the logic programming language PROLOG. It can compile to native machine code which is extremely fast in execution. Another feature is the included constraint solver. -
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The freeWrap program turns TCL/TK scripts into single-file binary executable programs. freeWrap can wrap TCL/TK applications that consist of multiple script and binary files. freeWrap combines all the files together into a single executable file.
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Jasmin is a Java Assembler. It takes ASCII descriptions for Java classes, written in a simple assembler-like syntax. It converts them into binary Java .class class files suitable for loading into a Java Virtual Machine implementation.
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JikesTM is a compiler for the JavaTM language. The Jikes project strives for strict adherence to the Java Language and Java Virtual Machine Specifications. Jikes' most popular feature is it's extremely fast compile speed.
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Compiled
A familiar and performant compile time CSS-in-JS library for React
A familiar and performant compile-time CSS-in-JS library for React. Using APIs and behavior you may already be familiar with, write your styles in JavaScript with the full power of CSS, leveraging the language to create expressive & dynamic experiences. Build with your bundler of choice or just Babel, resulting in very performant components that have their styles built ahead of time. Turn on extraction and all components styled in your app and sourced through NPM will have their runtime stripped and styles extracted to an atomic style sheet. Compiled brings distributed styles from the platform, product, and the wider ecosystem together. Add the loader to your Webpack config. Make sure this is defined after other loaders so it runs first. When developing locally its advised to use a bundler instead of Babel directly for improved developer experience. -
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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. -
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Hikari
LLVM Obfuscator
All releases prior to and including LLVM8 are signed using this PGP Key from Naville. Verifiable on his Keybase. Security is not now, and will never be based purely on Obscurity. The "Security Companies" might say so to sell more of their products. But no, binary obfuscation won't magically fix all your exploits and bugs, (If not introducing more). Designing an Obfuscator is hard, and keeping the source open definitely leaks the pattern to crackers which could potentially make the crackers' life easier if they have the right skillset. While every reasonable attempt has been made in Hikari to reduce such patterns from appearing, however, with overkill weapons like symbolic execution, binary obfuscation can still be defeated much easier, even so-called VM-based obfuscation. DOI 10.1145/2991079.2991114 explained this in great detail. I would implement a few anti-SE mechanisms in the future in an attempt to cause (even) more trouble to attackers, though. -
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Shell Script Compiler
Shell script compiler
shc is a shell script compiler that converts shell scripts into executable binaries. It enhances script security by obfuscating the source code, making it useful for distributing proprietary scripts. -
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Smaller C
Simple C compiler
Smaller C is a simple and small single-pass C compiler, currently supporting most of the C language common between C89/ANSI C and C99 (minus some C89 and plus some C99 features). Currently, it generates 16-bit and 32-bit 80386+ assembly code for NASM that can then be assembled and linked into DOS, Windows, Linux and Mac OS X programs. (You may use YASM or FASM instead of NASM) Code generation for MIPS CPUs is also supported (primarily for RetroBSD). The compiler is capable of compiling itself. The core compiler comes with a preprocessor (ucpp), a linker, and a compiler driver (the driver invokes the preprocessor, the core compiler, the assembler, and the linker and supports options similar to those of gcc). -
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c
Compile and execute C "scripts" in one go!
I love C for its raw speed (although it does have its drawbacks). We should all write more C. With this shell script, you can compile and execute C "scripts" in one go! (Oh yeah, and it works for C++ too.) First of all, I want to clarify why this is not the same as tcc -run. TCC is a compiler. We all know that. TCC will perform its own set of optimizations, just as GCC will perform its own and Clang will perform its own. The purpose of this script is to give a simple front-end to your favorite compiler. I'm a fan of speed, and C definitely offers it. Being able to write a small, fast, and portable C "script" is great. You can pass around a C "script" just like you would a BASH script. -
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Seed7
Interpreter and compiler for the Seed7 programming language.
Interpreter, compiler, libraries, documentation and examples for the Seed7 programming language. Seed7 is a general purpose programming language. It is a higher level language compared to Ada, C/C++ and Java. In Seed7 new statements and operators can be declared easily. Functions with type results and type parameters are more elegant than a template or generics concept. Object orientation is used where it brings advantages and not in places where other solutions are more obvious. Seed7 spares no effort to support portable programming. Several driver libraries assure that the access to operating system resources such as files, directories, network, clock, keyboard, console and graphics are done in a portable way. Although Seed7 contains several concepts from other programming languages, it is generally not considered a direct descendant of any other programming language. -
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IKVM.NET is a JVM for the Microsoft .NET Framework and Mono. It can both dynamically run Java classes and can be used to convert Java jars into .NET assemblies. It also includes a port of the OpenJDK class libraries to .NET.
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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. -
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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.
