z3-solver
an efficient SMT solver library
What it is and what it does
Z3 is a theorem prover and SMT solver developed by Microsoft Research that determines whether logical formulas are satisfiable and computes models that satisfy them. It handles formulas across multiple theories including integer and real arithmetic, bit-vectors, arrays, and uninterpreted functions. The package provides Python bindings to the underlying C++ solver engine, distributed as pre-built binaries for Windows, macOS, and Linux architectures.
Developers use Z3 to solve constraint satisfaction problems, verify program properties, test software systematically, and reason about complex logical statements. It is commonly applied in formal verification, program analysis, security research, and automated testing. The solver combines SAT solving with theory-specific decision procedures to handle both propositional and quantified formulas efficiently.
Use it for:
- Verify that program logic satisfies safety properties or invariants before deployment
- Generate test cases automatically by solving constraints that exercise specific code paths
- Analyze security properties of cryptographic protocols or access control policies
- Solve constraint satisfaction problems in optimization, scheduling, or resource allocation
- Check satisfiability of mathematical formulas in formal methods and theorem proving
Worth the install?
AI-flagged interpretation of the facts on this page — verify before relying
Z3 is a theorem prover and SMT (satisfiability modulo theories) solver that can determine whether logical formulas are satisfiable and find models that satisfy them.
Yes, if you need to solve constraint satisfaction or logical satisfiability problems. Z3 is a mature, actively maintained solver from a reputable source with no known vulnerabilities and permissive licensing. Install friction is moderate but manageable via pre-built wheels. Not necessary for general-purpose Python development but essential for formal verification, automated testing, or constraint-based reasoning tasks.
Install
z3-solver on PyPI
pip
pip install z3-solveruv
uv add z3-solverpoetry
poetry add z3-solverInstalling z3-solver
Before you install
Medium install friction due to platform-specific binary wheels (Windows, macOS, Linux variants); however, pre-built binaries are available for common architectures. Single lightweight runtime dependency (importlib-resources). Active maintenance with recent release (28 days old) and strong repository signals (12560 stars, current as of 2026-08-14).
License in practice
MIT License permits commercial and private use with minimal restrictions. Windows binary distributions include C++ runtime redistributables, which may require acceptance of additional license terms from Microsoft.
Quickstart
pip install z3-solver
from z3 import *
x = Int('x')
s = Solver()
s.add(x > 2, x < 10)
if s.check() == sat:
print(s.model())
Verify before relying
- Whether Python version support is truly unspecified or if there are practical minimum/maximum version constraints
- Performance characteristics and scalability limits for large constraint problems
- Whether the package is suitable for production use or primarily for research/prototyping
Package facts
| License | MIT License (permissive) |
| Python support | not specified |
| Install friction | medium — platform-specific wheel |
| Runtime dependencies | 1 — importlib-resources |
| Maintenance | actively maintained — 28 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 6,097,257/month — #1,971 on PyPI (30-day window, as of 2026-08-14) |
| Known vulnerabilities | none known (OSV.dev, checked 2026-08-14) |
Evidence: z3_solver-5.0.0.0-py3-none-macosx_13_0_arm64.whl; z3_solver-5.0.0.0-py3-none-macosx_13_0_x86_64.whl; z3_solver-5.0.0.0-py3-none-manylinux_2_27_x86_64.whl; z3_solver-5.0.0.0-py3-none-manylinux_2_38_aarch64.whl; z3_solver-5.0.0.0-py3-none-manylinux_2_38_riscv64.whl; z3_solver-5.0.0.0-py3-none-win32.whl; z3_solver-5.0.0.0-py3-none-win_amd64.whl; z3_solver-5.0.0.0-py3-none-win_arm64.whl
Keywords: z3, smt, sat, prover, theorem
Tags
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