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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 est un framework pour émuler et déboguer des binaires natifs ARM32 et ARM64 sur une machine hôte. Il sert de débogueur de binaires Android et iOS et d'émulateur de bibliothèque native, permettant l'exécution de code natif sans avoir besoin de matériel physique. Le projet se distingue par un framework de hooking de fonctions natives et un outil de débogage Model Context Protocol qui expose l'état de l'émulateur aux assistants IA pour une analyse binaire automatisée. Il inclut également un analyseur de mémoire spécialisé pour suivre les allocations côté invité et identifier les fuites dans les binaires natifs. La suite d'outils couvre plusieurs domaines de capacités, incluant l'ingénierie inverse de code natif, le traçage d'exécution au niveau des instructions et la simulation de pont JNI. Elle offre une observabilité via des logs de lecture/écriture mémoire et un débogueur console, tout en utilisant un pooling d'émulateurs thread-safe pour réduire la surcharge d'initialisation.