pyDecision is a comprehensive Python library that encompasses a wide array of Multi-Criteria Decision Analysis (MCDA) methods. These powerful and versatile tools assist in making effective decisions by comparing alternatives based on multiple criteria, making it a valuable resource for researchers, analysts, and decision-makers.

Scikit-Criteria is a collection of Multiple-criteria decision analysis (MCDA) methods integrated into scientific python stack. Is Open source and commercially usable.

📈Multiple-Criteria Decision Analysis (MCDA) techniques enhanced with Deep Learning Techniques to solve a Securities Selection (Stocks) problem

An MCDA add-in for ArcMap.

The Python 3 library for Multi-Criteria Decision Analysis.

Java Evolutionary Multi-Objective Algorithm

The MCDA Toolkit is a lightweight .NET tool designed for Multi-Criteria Decision Analysis (MCDA).

A web application that aims to rank resumes in relation to a job offer using Multiple Criteria Decision Aid (MCDA) to sort the CVs.

The RMCDA package is a comprehensive toolkit for Multi-Criteria Decision Analysis (MCDA), designed to facilitate the evaluation and ranking of alternatives based on multiple criteria. The package provides methods for implementing various MCDA techniques, including pairwise comparisons, partial-order analysis, and dominance-based decision rules.

UrbanIQ is an open, reproducible pipeline and interactive map that ranks Montréal’s municipal buildings by their combined mitigation–adaptation impact. It computes a transparent MCDA priority score from operational carbon intensity and flood exposure, and incorporates social and greening indicators when available.

Python 3 library for Multi-Criteria Decision Analysis based on distance metrics, providing twenty different distance metrics.

Python Package (on PyPI) for MCDM using TOPSIS Technique

Plot Finite Partially Ordered Sets in Python

Framework for ranking prediction based on Multi-Layer Perceptron (MLP) regressor model and historical datasets evaluated by experts using Multi-Criteria Decision Analysis (MCDA) methods in Python.

Collection of generalized p-mean models with classic, fuzzy and unweighted approach

multi-criteria decision analysis (MCDA) of various harms of drugs used recreationally in the UK

RMCriteria is a package to solve Multiple-Criteria Decision Analysis (MCDA) problems. For now, it only supports Promethee methods, but other methods may be developed in the future.

Decision making platform using multi-criteria decision analysis methods. Free and open source

This is Python 3 library for multi-criteria decision analysis with decision-maker preference identification based on historical datasets using evolutionary stochastic algorithm Differential evolution

⚖️ Multi-criteria decision-making methods

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QGIS plugin that generates a customized site classification raster layer for educational facilities (schools).

Multi-Method MCDM/MCDA Software. To cite this software publication: https://link.springer.com/article/10.1007/s10668-023-03349-z Download ka-decision.exe for Windows: https://github.com/kadirkirda/ka-decision/raw/refs/heads/main/software/ka-decision.exe

The EC-PROMETHEE Method - A Committee Approach for Outranking Problems Using Randoms Weights

V-COMET: a method for multi-criteria decision analysis using VIKOR to evaluate characteristic objects

Simple Best worst method implementation.

A multi-criteria decision analysis (MCDA)-based composite proxy target variable generation technique for business decision modeling that uses relevant features or independent variables conceptually related to the intended target variable.

A GIS–Machine Learning framework to identify optimal utility-scale solar farm locations in Bengaluru by integrating spatial analysis, MCDA, and XGBoost-based solar irradiance forecasting.

Modelo híbrido de análise multicritério em dois estágios.

A Python library for creating TOPSIS rankings, designing improvement actions, and visualizing the alternatives in WMSD space.