Access to all MiniZinc functionality directly from Python

FelooPy: Efficient & Feature-Rich Integrated Decision Environment

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

A Python wrapper for the MiniZinc tool pipeline.

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

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!

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

EA FC 24 Automated SBC Solving using Integer Programming ⚽

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

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

Modeling and solving job shop problems with constraint programming in Python.

efficient Game of Life in Python

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

An easy-to-use and modular Python library for the Job Shop Scheduling Problem (JSSP)

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

Python Client library for Qaekwy Operational Research Solver

Improved Search for Integral, Impossible Differential and Zero-Correlation Attacks: Application to Ascon, ForkSKINNY, SKINNY, MANTIS, PRESENT and QARMAv2