Projects sharing features with Llvm

This project is a multi-language compiler collection and cross-platform toolchain used to translate source code from various programming languages into optimized machine code for different hardware architectures. It provides a suite of tools including an optimizing compiler backend, a machine code generator, and a comprehensive runtime library suite that implements necessary execution environments and support functions. The system utilizes a multi-pass compilation pipeline and pluggable language front-ends to process source code into intermediate representations. It distinguishes itself throu

V is a statically typed, compiled programming language designed for high-performance systems development. It prioritizes memory safety and execution speed by enforcing strict type checking and immutable defaults, while generating native machine code for multiple hardware architectures. The language is built around an integrated toolchain that includes a compiler, package manager, formatter, and testing utilities within a single executable, facilitating rapid development cycles. What distinguishes V is its focus on developer productivity and interoperability. It provides a direct interface for

Julia is a high-performance, dynamic programming language designed for scientific computing, data analysis, and complex mathematical modeling. It provides a specialized runtime environment that manages memory allocation and parallel processing, utilizing a just-in-time compiler to translate high-level source code into optimized machine instructions. This architecture allows the language to achieve execution speeds comparable to statically compiled languages while maintaining the flexibility of a dynamic scripting environment. The language is distinguished by its multiple dispatch system, whic

This project is a high-level programming language and compiler toolchain designed for writing and deploying smart contracts on decentralized virtual machines. It provides a framework for creating self-executing code that operates within deterministic execution environments, ensuring that distributed nodes reach identical state transitions through stack-based machine execution. The language enables the development of complex decentralized logic by supporting state-machine-based contract structures and modular composition. It includes built-in capabilities for cryptographic signature verificati

Zig is a general-purpose systems programming language designed for high-performance applications that require manual memory management and direct control over hardware resources. It prioritizes predictable execution by enforcing explicit control flow and requiring functions to accept explicit memory allocators, ensuring that all heap operations and logic paths remain visible to the developer. The language distinguishes itself through a powerful compile-time metaprogramming engine that allows for arbitrary code execution during the build process, enabling advanced reflection and the generation

This project is a high-performance numerical computing library designed for large-scale scientific and machine learning workloads. It functions as an automatic differentiation framework and a just-in-time compilation engine, transforming high-level Python code into optimized machine instructions. By enforcing pure functional programming patterns and immutable array semantics, the library ensures that mathematical functions remain compatible with automated graph transformations and symbolic differentiation. The platform distinguishes itself through its distributed array computing capabilities,

c3c is the compiler for the C3 programming language, transforming source code into executable binaries, static libraries, or dynamic libraries using an LLVM backend. It implements a system based on result-based error handling, scoped memory pooling, and a semantic macro system. The compiler provides first-class support for hardware-backed SIMD vectors that map directly to processor instructions and enables runtime polymorphism through interface-based dynamic dispatch. The project covers a broad set of low-level capabilities, including manual and pooled memory management, inline assembly inte

Codon is an LLVM-based Python compiler and statically typed implementation that translates source code into optimized machine instructions. It functions as a high-performance numerical backend and a GPU computing framework designed to remove runtime overhead. The project implements a compiled alternative to NumPy, translating array logic directly into machine code. It differentiates itself by generating specialized hardware kernels for graphics processors and utilizing static type inference to enable aggressive machine-code optimization. The system provides capabilities for parallel workload

Participle is a Go parser generator and toolkit for building language frontends. It provides a declarative grammar framework that uses reflection and struct tags to map input patterns directly into typed data structures. The library features a stateful lexical analyzer that employs state machines to handle nested or modal patterns. It includes a lexer code generator to produce optimized code, reducing runtime memory allocations and increasing throughput. The project covers recursive descent parsing with support for union types via sealed interfaces and custom parsing logic through interface-

CoreCLR is a runtime environment that manages the execution, memory, and basic types for applications built on the .NET platform. It serves as a managed execution environment that handles low-level system interactions and provides primitive data types for high-level application code. The project functions as a JIT compilation engine and a garbage collected runtime. It translates intermediate language into machine code at runtime for execution on specific hardware and automatically reclaims unused memory to prevent leaks. The system covers broad capability areas including managed code executi

AsmJit is a runtime machine code generator and JIT compiler backend that translates high-level definitions into executable processor instructions. It provides a unified instruction emission API and an executable memory manager to allocate and protect virtual memory pages across multiple CPU architectures. The library functions as an assembly engine for x86 and ARM, supporting cross-platform assembly generation through a unified backend. It enables the creation of optimized machine code for different CPUs while maintaining a single codebase. The project covers low-level system abstractions in

LuaJIT is a high-performance Lua language implementation and just-in-time compiler. It functions as an embedded scripting engine and dynamic binary translator that converts portable bytecode into native machine code during execution. The project focuses on high-performance scripting by translating bytecode into architecture-specific instructions to achieve execution speeds close to compiled C code. It utilizes a lightweight runtime environment designed for minimal memory overhead. The system supports binary data processing via bitwise operations and enables asynchronous task management throu

Unicorn is a multi-architecture CPU emulation framework and library that utilizes just-in-time compilation to execute instructions across various processor architectures, including ARM, x86, and RISC-V. It functions as both a JIT compilation engine and an instrumentation tool, allowing for the execution of machine code without the need for physical hardware. The framework is distinguished by its hook-based execution instrumentation, which enables the interception of specific instructions and memory accesses to trigger custom callback functions. It provides a language-agnostic binding layer an

The project is a reusable collection of modular compiler and toolchain technologies designed for building optimizers, code generators, and multi-language programming environments. It provides foundational compiler frontend technologies that translate source code written in C, C++, and Objective-C into a low-level programming language and intermediate code format. This intermediate representation enables cross-language analysis, program transformation, and target-independent optimization alongside a cross-platform programming framework that allows developers to write single-source accelerated a

Blink is a JIT-based instruction emulator and x86-64 Linux emulator designed to run Linux binaries and ELF files across different host operating systems and architectures. It functions as a binary execution sandbox and system call simulator, providing a controlled environment for running programs. The project distinguishes itself with a terminal user interface for monitoring execution, managing breakpoints, and visualizing JIT compilation paths. It supports self-modifying code through a cache-invalidating memory model and provides execution environment isolation using restricted directory ove

The .NET Compiler Platform is a collection of open-source APIs for C# and Visual Basic that provides deep code analysis, refactoring, and automated source code generation. It serves as the core infrastructure for building development tools, offering a platform to inspect, modify, and understand source code through immutable syntax trees and semantic models. The platform distinguishes itself by providing full-fidelity syntax trees that preserve every character of source code, including whitespace and comments, alongside an incremental compilation pipeline that enables near-instant feedback dur

Tinygrad is a deep learning framework and tensor computation engine designed for building and training neural networks. It functions as a hardware abstraction layer that manages device memory, command queues, and kernel dispatching across heterogeneous computing architectures. By utilizing a lazy-evaluation approach, the framework constructs computational graphs that defer execution until data is explicitly required, allowing it to process only the necessary operations for a given result. The project distinguishes itself through a just-in-time compilation layer that transforms abstract comput

Taichi is a domain-specific programming language embedded in Python designed for high-performance numerical computing and computer graphics. It functions as a parallel compiler that translates high-level mathematical expressions into optimized machine instructions, enabling developers to write compute-intensive algorithms that execute across diverse hardware architectures, including CPUs, GPUs, and specialized accelerators. The project distinguishes itself through a hardware-agnostic execution layer that maps parallel operations to multiple backends such as CUDA, Metal, and Vulkan. By utilizi

Comprehensive Rust is a structured educational curriculum designed to teach the Rust programming language, focusing on its core principles of memory safety, performance, and type correctness. The project provides a comprehensive learning path for software engineers, covering the language's ownership model, borrow checking, and compile-time validation mechanisms that eliminate common memory-related errors without the need for a garbage collector. The curriculum distinguishes itself by offering specialized modules that demonstrate how to apply these safety guarantees in diverse, high-performanc

V2ray-core is a modular network proxy engine designed to manage inbound and outbound traffic through a unified, rule-based processing pipeline. It functions as a background service that operates multiple concurrent network protocols within a single process, allowing for flexible traffic management and the independent handling of diverse communication streams. The project distinguishes itself through a highly decoupled architecture that treats network protocols as swappable modules, enabling the encapsulation of various transport layers into a consistent stream-based model. It features a centr

OpenWrt is a modular Linux distribution designed for resource-constrained networking hardware. It functions as a comprehensive network routing platform, providing a complete build environment that allows users to generate custom firmware images for a wide variety of embedded processor architectures. By utilizing a standardized cross-compilation toolchain and a package-based ecosystem, it enables the creation of tailored operating systems for specific hardware deployments. The project distinguishes itself through a hardware abstraction layer that normalizes interactions across diverse chipsets

jstips is a curated library of practical JavaScript patterns and concise coding shortcuts. It serves as a reference manual and programming guide for implementing best practices and optimized syntax patterns to write cleaner, more professional code. The project organizes technical knowledge through a collection of isolated, runnable code demonstrations and modular tip classifications. This example-driven approach allows for the discovery of modern language features and specific coding shortcuts without long-form prose. The repository covers areas of code optimization, performance tuning, and

Wasmtime is a WebAssembly runtime and sandboxed bytecode executor designed to run WebAssembly bytecode on a host system. It functions as an embeddable engine that integrates into applications through native APIs and language-specific bindings, as well as a standalone execution environment accessible via a command line interface. It is a WASI compatible runtime, implementing the WebAssembly System Interface to provide portable access to system resources. The engine utilizes a JIT compilation model to translate intermediate representation into optimized machine code for various CPU architecture

This project provides the core framework and system API layer for the Android operating system. It consists of the fundamental Java and C++ libraries that define system behavior and establish the interface contracts required for system applications and hardware abstraction. The project includes a runtime optimizer used to reduce startup time and improve execution speed by pre-compiling methods and configuring boot images. It also features a software quality toolchain that enforces code formatting, audits commit metadata, and manages API compatibility to ensure stable interface contracts acros

Rust-GPU is a compiler and toolchain that translates Rust source code into SPIR-V bytecode for execution on graphics and compute hardware. It provides a development environment for writing parallel compute kernels and graphics shaders using a custom LLVM backend that maps high-level language constructs to GPU-compatible memory layouts and instructions. The project enables cross-platform shader development, allowing the same Rust code to run across different GPU hardware and graphics APIs via the SPIR-V intermediate representation. It specifically supports the creation of general-purpose compu

ISPC is a vectorizing compiler and SIMD parallel programming language that implements a single program multiple data model. It serves as a toolchain for translating C-based code with parallel extensions into optimized machine code for various CPU and GPU architectures using an LLVM backend. The compiler is designed for cross-platform SIMD toolchain support, generating specialized instruction sets for x86 SSE/AVX, ARM NEON, and Intel GPU from a single source. It features a runtime dispatch mechanism that selects the most efficient hardware-specific implementation for the current system during

Claudes C Compiler is a self-contained C compiler toolchain that parses source code, optimizes intermediate representations, and generates machine code without relying on external assemblers, linkers, or toolchain dependencies. It translates C source files directly into standalone executable binaries, object files, or assembly text across multiple hardware architectures. The project provides built-in assembly and linking capabilities, processing architecture-specific assembly text, encoding instructions, combining object files and static archives, resolving symbols, applying relocations, and