Binary Ninja vs ImHex

Binary Ninja is a binary analysis platform that combines an interactive decompiler, disassembler, and debugger. Its decompiler can produce C or BNIL for supported architectures, and users can switch between those outputs. The API provides C++, Python, and Rust bindings for automating workflows inside or outside the interface. A native debugger supports local and remote sessions on Windows, macOS, and Linux. Paid editions support plugins managed through an in-client Plugin Manager; plugins are not available in the Free edition. The browser-based Cloud version supports all architectures but requires submitted binaries and has performance limits, with no API or plugins. The free desktop edition is for evaluation or non-commercial use and lacks API access; the Free plan lists five decompilation architectures, while desktop details state four. Paid perpetual client licenses start at $199, paid once for Personal, with one year of updates and non-commercial use. Higher tiers add commercial use, more architectures, or remote project features. Binary Ninja is made by Vector 35.

ImHex is a hex editor for reverse engineers and programmers, available for Linux, macOS, and Windows. Its Pattern Language uses C-like syntax to describe structures and data types, which ImHex can use to parse and highlight file contents. The hex view supports searching, byte patching, patch management, and undo and redo. Analysis features include data inspection, file type parsing, byte type and entropy graphs, and detection of encrypted or compressed files. A YARA view scans files with rules, highlights matches, and lets users jump to them. The in-app Content Store offers community patterns, libraries, processor nodes, encodings, themes, and YARA rules; developers can also build plugins with libimhex, the API, and Content Registry. ImHex is free. Most of the application is GPLv2-only, while libimhex and the UI plugin library are LGPLv2.1. It generally requires a GPU with OpenGL 3.0 support; slower software-rendered releases are available. macOS release binaries require macOS 15 or higher.