SeaHorn vs Understand

SeaHorn is a free, open-source framework for automated analysis of C and other LLVM-based programs, developed mainly for research in automated verification. It is not an out-of-the-box static analyzer. Its frontend prepares LLVM IR bitcode, and its middle end converts optimized bitcode into verification conditions written as Constrained Horn Clauses. Backend engines use SMT-based model checking, including PDR/IC3 techniques, and CRAB can provide numerical invariants through abstract interpretation. SeaHorn supports abstract interpretation, context-sensitive pointer analysis, bounded model checking, constrained-Horn-clause software model checking, and termination or non-termination analysis. For C programs with assertions, `sea pf` translates the program, generates and solves verification conditions, displays invariants for safe results, or saves a counterexample for violations. `sea inspect` reports program structure and can produce memory or call-graph data. The framework also checks generated clauses for inconsistent code fragments using path coverage. Docker is described as the easiest starting point, with a nightly image refreshed daily. Building requires LLVM, Z3, and Boost, whose exact versions change. SeaHorn runs on Linux, macOS, or self-hosted systems under a modified BSD license.

Understand is a static analysis and code-comprehension tool from SciTools. It builds a cross-referenced model of source code without executing it, then helps users explore relationships through its Information Browser, call trees, dependency analysis, and visual graphs, including butterfly and control-flow views. It also provides metrics, CodeCheck, version comparison, APIs, a command-line interface, and AI chat. Supported languages include C/C++, C#, Fortran, Java, Python, Rust, VHDL, Visual Basic, and web languages such as HTML, CSS, JavaScript, TypeScript, PHP, and XML. It runs on Windows 11, specified Linux distributions, and macOS Monterey or later; command-line automation, CI, and an official Docker image are also available. The VS Code extension is separately licensed. Local AI keeps code and prompts on the user's hardware, while cloud AI sends requests with code context to the selected provider. Offline use is supported with offline licensing. Pricing includes a free plan and paid subscriptions from $100/user/mo (annual).