Awesome GitHub RepositoriesNative Code Inspection

ILSpy is a .NET decompiler and binary analyzer designed to convert compiled .NET assemblies back into readable C# source code. It functions as a metadata explorer and a common intermediate language viewer, enabling the analysis of compiled code and the execution of reverse engineering workflows. The project distinguishes itself through specialized translation capabilities, such as converting compiled binary XML (BAML) back into human-readable XAML for user interface analysis. It also provides tools for inspecting native machine code and extracting metadata from program database (PDB) files.

Warp is a Python framework that JIT-compiles Python functions into CUDA kernels for GPU-accelerated parallel computation, with built-in automatic differentiation and multi-framework array interoperability. At its core, it provides a GPU kernel compilation system that enables writing and executing custom GPU kernels directly from Python, while supporting automatic gradient computation through those kernels for integration with machine learning pipelines. The framework also includes tile-based cooperative computing, where thread blocks partition into tiles for shared-memory and tensor-core opera

Carp is a statically typed Lisp compiler that compiles Lisp-like syntax directly to C source code, enabling seamless integration with existing C libraries and low-level system programming. It manages memory deterministically at compile time using ownership tracking and linear types, eliminating garbage collection pauses and runtime overhead while ensuring type safety through an inferred static type system. The language distinguishes itself through compile-time macro expansion and metaprogramming capabilities, allowing code generation and transformation before final binary output. It enforces

TileLang is a Python-embedded domain-specific language compiler that JIT-compiles and autotunes GPU kernels. It uses a tile-based DSL, automatic software pipelining, and parallel autotuning to generate optimized GPU kernels at runtime. It supports tensor core operations with Pythonic syntax, automatic memory management, and thread mapping. The compiler searches over tile sizes, thread counts, and scheduling policies, compiling and benchmarking candidates in parallel to find the fastest kernel. It also caches compiled binaries and tuning results to disk for reuse across sessions. TileLang inc

unidbg este un framework pentru emularea și depanarea binarilor native ARM32 și ARM64 pe o mașină gazdă. Servește ca un debugger de binare Android și iOS și emulator de biblioteci native, permițând execuția codului nativ fără a fi nevoie de hardware fizic. Proiectul se distinge printr-un framework de hooking al funcțiilor native și un instrument de depanare Model Context Protocol care expune starea emulatorului către asistenții AI pentru analiză binară automatizată. Include, de asemenea, un analizor de memorie specializat pentru urmărirea alocărilor de partea invitatului și identificarea scurgerilor de memorie în binarele native. Setul de instrumente acoperă mai multe domenii de capabilități, inclusiv ingineria inversă a codului nativ, urmărirea execuției la nivel de instrucțiune și simularea JNI-bridge. Oferă observabilitate prin log-uri de citire/scriere în memorie și un debugger de consolă, utilizând în același timp pooling-ul de emulatoare thread-safe pentru a reduce overhead-ul de inițializare.