Binary Ninja vs Boomerang

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.

Boomerang is an open-source decompiler that translates supported machine-code binaries into C source code. It supports x86 (IA-32 only), PPC, and ST20 architectures, and accepts ELF, PE, DOS MZ, DOS/4GW LE, and Mach-O files. Users can run it as a command-line tool or a GUI application. The project describes its license as BSD, and the software is free. Build instructions cover Linux, macOS, and Windows, but compiling requires a 64-bit operating system and a C++17 compiler; 32-bit systems are not supported. Documented prerequisites include CMake, Qt5, Capstone, GNU bison, and GNU flex. Precompiled packages are available for release versions, although the project recommends building the development branch from source. Unit and regression tests are provided, but the README says the regression test suite cannot be built on Windows. The maker describes the release as intended for developers and experimenters and warns that large-binary decompilation may disappoint. Decompiled output does not recreate the original source file and may differ from it. The project directs users to its GitHub issue tracker for bug reports.