--- id: pyboolector version: "3.2.4.19342042739" license: unclear license_treatment: permissive maintenance: abandoned --- # PyBoolector — Python wrapper around the Boolector SMT solver License: permissive · Maintenance: abandoned · Downloads: 115.1K/mo ## What it is and what it does pyboolector is a Python binding for Boolector, an SMT solver specialized in reasoning about fixed-size bit-vectors, arrays, and uninterpreted functions. It exposes Boolector's API to Python, allowing developers to programmatically construct satisfiability problems, assert constraints, and query solutions. The solver supports incremental solving via push and pop commands and solving under assumptions, making it useful for applications that need to explore multiple related constraint scenarios. However, Boolector is no longer actively developed—the project is archived, with active development and maintenance having stopped. The description explicitly states that Boolector was succeeded by Bitwuzla. While pyboolector remains installable and functional, it represents a legacy tool; developers considering it should be aware that bug fixes and feature improvements will not be forthcoming. Use it for: - Formal verification of hardware designs by encoding bit-vector constraints and checking satisfiability. - Automated testing and constraint-based test case generation for systems with bit-level operations. - Symbolic execution engines that need to solve path constraints over bit-vectors and arrays. - Academic research on SMT solving, satisfiability, and constraint satisfaction problems. - Legacy system integration where existing Boolector-based workflows need Python bindings. ## Worth the install? AI-flagged interpretation of the facts above — verify before relying. Python wrapper around Boolector, a Satisfiability Modulo Theories (SMT) solver for bit-vectors, arrays, and uninterpreted functions supporting SMT-LIB logics. No, unless you are maintaining legacy code that already depends on pyboolector. The package is functional but the underlying Boolector project is archived and no longer maintained. For new projects requiring SMT solving over bit-vectors, the description recommends Bitwuzla as the active successor. If you must use pyboolector for existing work, be aware that security updates and bug fixes are unlikely. ## Install pip install pyboolector uv add pyboolector poetry add pyboolector ## Installing PyBoolector Before you install: Medium install friction due to compiled wheels; prebuilt binaries available for Python 3.8–3.14 on Linux and macOS arm64, but the underlying project is archived and no longer maintained—active development has ceased. License in practice: Licensed under MIT (permissive), allowing use in commercial and proprietary projects with minimal restrictions. Quickstart: pip install pyboolector import pyboolector # Create solver instance and add constraints # See examples/api/python/api_usage_examples.py in the Boolector repository Boolector is archived and no longer actively maintained; the project recommends migrating to Bitwuzla for ongoing support. Verify before relying: - Which SAT solver backends (CaDiCaL, CryptoMiniSat, Lingeling, MiniSAT, PicoSAT) are included in prebuilt wheels. - Whether incremental solving via push/pop and solving under assumptions is fully functional in the Python API. - Current stability and compatibility of pyboolector with modern constraint-solving workflows. - Specific API surface and usage patterns available through the Python binding. ## Package facts - License: not declared (permissive) - Python support: unspecified - Install friction: medium - Maintenance: abandoned - Downloads: 115.1K/month (top 15,000 on PyPI) - Known vulnerabilities: none known ## Tags SMT solver python, satisfiability modulo theories, bit-vector solver, constraint solving, formal verification, SAT solver wrapper, symbolic reasoning, smt-solver, formal-verification, archived [View on SkillFed](https://skillfed.io/packages/pyboolector) · [View on PyPI](https://pypi.org/project/pyboolector/)