Reverse Dependencies of gurobipy

The following projects have a declared dependency on gurobipy:

• abcvoting — A Python library of approval-based committee (ABC) rules
• algmatch — A package containing various matching algorithms, such as stable marriage, hospital-residents, and student-project allocation.
• Bayanpy — Bayanpy is a powerful Python library for community detection in complex networks, designed to provide optimal or near-optimal solutions for modularity maximization. It features a highly efficient branch-and-cut algorithm and is backed by Integer Programming (IP) formulations.
• biclustpy — bi-cluster editing library
• biosimulators-cobrapy — BioSimulators-compliant command-line interface to the COBRApy simulation program <https://opencobra.github.io/cobrapy/>.
• bofire — no summary
• cardsol — Cardinality constrained Solver
• carpoolsim — A simulation tool to find as many as carpool-able trips given drive-alone trips
• carta-cell — Python package for cell differentiation mapping
• CellCover — CellCover
• citegeist — A spatial transcriptomics deconvolution tool for cell type identification and gene expression analysis
• cnapy — An integrated environment for metabolic network analysis.
• commonpower — A package for the exploration of safe single/multi-agent reinforcement learning in smart grids.
• conformal-region-designer — Creates intelligently shaped conformal prediction regions that respect multimodality and convexity.
• conv-opt — High-level Python package for solving linear and quadratic optimization problems using multiple solvers
• cosa-scheduler — A constrained-optimization based scheduler for spatial DNN accelerators
• cvxpy — A domain-specific language for modeling convex optimization problems in Python.
• cvxpy-base — A domain-specific language for modeling convex optimization problems in Python.
• cvxpy-gurobi — Translate CVXPY problems into gurobipy models
• deatool — Data envelopment analysis efficiency calculator
• decisify — Add your description here
• dMO — A package for learning cutting planes for mixed-integer optimization problems.
• dmpcpwa — Distributed Model Predictive Control for Piecewise Affine Systems
• DomiKnowS — A library provides integration between Domain Knowledge and Deep Learning.
• drrank — Implement the Empirical Bayes ranking scheme developed in Kline, Rose, and Walters (2023)
• durandal — Cutting Plane method to solve convex NLP with affine constratins
• eflips-opt — A collection of pre-simulation optimization algorithms for eFLIPS.
• el0ps — An Exact L0-Problem Solver
• energiapy — Python-based energy systems modeling and optimization tool
• entmoot — no summary
• EOSpython — A set of functions encompassing a centralized Earth Observation Satellite scheduling system
• eTraGo — electric transmission grid optimization
• ev2gym — A realistic V2G simulator environment
• EVRPTW-PR-ALNS — EVRPTW_PR ALNS algorithm sovler and heuristic solution initializer with MILP feasibility checker
• EVsSimulator — A realistic V2X environment using gym
• exact-kmeans — Computes an optimal k-means solution for small instances and small k.
• ezauv — A library to make coding AUVs easier
• FairDiverse — A unified, comprehensive fairness- and diversity-aware IR library
• fasterfva — Faster Flux Variability Analysis - Solve FVA Problems FAST
• feloopy — FelooPy: Efficient and feature-rich integrated decision environment
• fipepy — A simple Python package for Funcationally-Identical Pruning of Ensemble models
• flixopt — Vector based energy and material flow optimization framework in Python.
• floras — A package for network flow-based test synthesis.
• fpowerkit — A Distflow PDN solver based on Gurobi.
• fsam — no summary
• gana — An Algebraic Modeling Language (AML) for multiscale modeling and optimization
• gboml — GBOML: Graph-Based Optimization Modeling Language
• GeoPrivacy — A python package for implementing geo-indistinguishability privacy mechanisms
• GOUD — Modelos heuristicos o porgrmación lineal de Ingeneria Industrial para Pronosticos, Planeacion Agregada y Plan Maestro de Producción
• GridPath — A versatile simulation and optimization platform for power-system planning and operations.
• gurobi-machinelearning — package to insert ML models in Gurobi
• gurobi-modelanalyzer — Model analysis tools for explaining ill-conditioning and analyzing solutions.
• gurobi-optimods — Data-driven APIs for common optimization tasks
• gurobipy-pandas — Pandas accessors for gurobipy interaction
• gurobipy-stubs — Type stubs for gurobipy
• htlogicalgates — Find circuit implementations for logical gates of QECCs.
• imatpy — "Python implementation of the Integrative Metabolic Analysis Tool (iMAT) algorithm for context specific metabolic modeling."
• ingenii-quantum — Quantum and quantum-inspired algorithms for machine learning.
• interaction-inference — Infer gene interaction via constrained optimization
• jpeg-antecedent — Find possible antecedents of JPEG compression and decompression when the JPEG pipeline is known.
• leap-backend — The backend of the LEAP framework
• linopy — Linear optimization with N-D labeled arrays in Python
• linrax — A JAX-compatible, simplex method-based linear program solver
• ltoolx — Common tool packaging
• mach2 — Migration Analysis of Clonal Histories 2
• mapel-core — Map of Elections---essential parts
• mapof — Map of Objects---essential parts
• masspy — MASSpy is a package for dynamic modeling of biological processes.
• mec — description of the package
• metworkpy — Tools for creating and working with network models of metabolism.
• micodag — A Python package of mixed integer convex programming for directed acyclic graphs.
• miom — Mixed Integer Optimization for Metabolism
• miplearn — Extensible Framework for Learning-Enhanced Mixed-Integer Optimization
• misosoup — no summary
• mle-decoder — Most-likely error (MLE) decoder that uses gurobi to solve the mixed-interger (linear) programming problem
• mmrbipy — mmrbipy: A solver for the min-max regret binary integer programming problem (MMR-BIP)
• moving-targets — Moving Targets: a framework for constrained machine learning
• mptool — Enumeration and sampling of minimal pathways in metabolic (sub)networks.
• MRCpy — Library for minimax risk classifiers
• mulearn — A python package for inducing membership functions from labeled data
• networkcommons — Integrated framework for network inference and evaluation using prior knowledge and omics data
• nextmv_gurobipy — An SDK for integrating Gurobi with the Nextmv platform
• nsma — NSMA: A Memetic Procedure for Global Multi-Objective Optimization.
• oceanpy — A simple Python package Optimal Counterfactual Explanations in Tree Ensembles
• odtlearn — A package for tree-based statistical estimation and inference using optimal decision trees.
• omlt — OMLT is a Python package for representing machine learning models (such as neural networks) within the Pyomo optimization environment.
• opt-sugar — no summary
• optboolnet — The optimization toolbox for control problems of a Boolean network
• OptiGuide — Large Language Models for Supply Chain Optimization
• owlipy — Present mathematical equality and inequality in symbol format.
• polors — Add your description here
• PolyRound — A python package for rounding polytopes.
• powergridsim — Optimization Model of Unit Commitment and Economic Dispatch with Calculation of LMP Prices
• pownet — A simple production cost model of framework for power systems
• ppopt — Extensible Multiparametric Solver in Python
• primo-optimizer — PRIMO - The P&A Project Optimizer
• prodsys — A useful module for production system simulation and optimization
• pycity-scheduling — A Python framework for the development, testing, and assessment of optimization-basedpower scheduling algorithms for multi-energy systems in city districts
• pyepo — PyTorch-based End-to-End Predict-then-Optimize Tool
• pyflexad — Python Flexibility Aggregation and Disaggregation.