4 مستودعات
Systems for maintaining searchable maps of code structures in memory.
Distinguishing note: Designed for rapid cross-referencing of large binary codebases.
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Jadx is a comprehensive Java decompilation suite designed to transform compiled binary application files into readable source code. It functions as a static analysis workbench, providing a graphical interface for navigating, searching, and inspecting the internal logic of complex software packages. By utilizing a bytecode-to-Java pipeline, the project reconstructs high-level logical structures from low-level binary instructions, making it a primary tool for Android application reverse engineering. The project distinguishes itself through a sophisticated control flow reconstruction engine and
Maintains a searchable map of classes and methods to enable rapid navigation across large codebases.
This project is a desktop application designed for the reverse engineering and inspection of compiled Java code. It functions as a graphical interface that translates Java bytecode back into readable source code, allowing users to examine the internal logic of class files and archives when original source files are unavailable. The tool provides a structured environment for navigating complex file hierarchies, including nested archives like JAR and WAR files. By maintaining an in-memory representation of loaded classes, it enables rapid searching and cross-referencing of code elements. The ap
Maintains structured in-memory representations of loaded classes for rapid searching and cross-referencing.
Stores term-to-document mappings in a compact in-memory trie for fast full-text lookups without external dependencies.
This project is a comprehensive library of type-safe, high-performance data structures for Go. By leveraging language-level generics, it provides reusable containers and algorithms that eliminate the need for runtime type assertions or interface casting, ensuring efficient and type-safe data management. The library distinguishes itself through its support for persistent data structures and specialized indexing. It utilizes copy-on-write semantics and memory sharing to maintain multiple versions of a collection, allowing for efficient modifications without duplicating entire datasets. Addition
Provides trie-based indexing for rapid prefix searching and hierarchical data retrieval.