Python framework for experimenting with transformations of Mixed Integer Programming (MIP) problems. Designed for research and benchmarking, it includes tools for reordering, canonical form generation, and block decomposition. Compatible with external solvers such as Gurobi, and supports evaluation on MIPLIB benchmark instances.

This repository provides utilities for converting `.mps` and `.lp` models into IBM ILOG CPLEX Optimization Studio's OPL format, which consists of a `.mod` model file and a `.dat` data file.

Script that download instances from MIPLIB base on a csv

Optees is an open-source desktop toolkit for optimization: LP (SciPy/HiGHS), MILP (OR-Tools CP-SAT), and 0/1 knapsack. Clean Architecture, TDD, dataset adapters (LPnetlib, MIPLIB, Burkardt). Minimal APIs, extensible and testable.