Access to all MiniZinc functionality directly from Python

Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad class of safety-critical learning and control tasks.

A Python Library for modeling combinatorial constrained problems

Exact solutions for two-dimensional bin packing problems by branch-and-cut

A Python wrapper for the MiniZinc tool pipeline.

An integrated visual environment for metabolic modeling with common methods such as FBA, FVA and Elementary Flux Modes, and advanced features such as thermodynamic methods, extended Minimal Cut Sets, OptKnock, RobustKnock, OptCouple and more!

EA FC 25 Automated SBC Solving using Integer Programming ⚽

Entropy-controlled contexts in Python

Using Google Operation Research Tools (Ortools) to solve complex scheduling problems (General optimization problems).

Modelling and Solving Employee Shift Scheduling (Including Nurse Rostering) Problems Using Constraint Programming (Combination of Artificial Intelligence and Operations Research) and Software Engineering Technologies 应用约束规划(人工智能+运筹学)及软件工程技术建模和解决员工排班(包括护士排班)调度问题

Solve scheduling problems with constraint programming in Python.

A modular Python library for creating, solving, and visualizing job shop scheduling problems.

An easy-to-use, general and open-source tool to search for guess-and-determine attacks and key bridges

Python library for declarative, constrained, structured-output prediction.

efficient Game of Life in Python

Implementation of classical problems in Computer Science in the Answer Set Solving dialect of Clingo.

A Constraint Programming solver for the Nurse Scheduling Problem, with personal shift preferences.

Python Client library for Qaekwy Operational Research Solver

Models (and data) of constrained problems developped with the library PyCSP3

Express constraint programming problem with python and solve it with minizinc