Mcda Python Packages

scikit-criteria

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

topsispy

Python Package (on PyPI) for MCDM using TOPSIS Technique

pydecision

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.

pyrepo-mcda

The Python 3 library for Multi-Criteria Decision Analysis.

uta-gms-engine

Engine for the UTA-GMS system

gpmm

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

decisionkit

Explainable scoring & ranking for Python backends. Weighted criteria, rules, constraints, bonuses, audit hashes. FastAPI/Django-ready. No ML.

evo-spotis

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

distance-metrics-mcda

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

adi-decision

ADI — Give Your Agent a Decision Brain

hasse-diagram

Plot Finite Partially Ordered Sets in Python

georank

Generic weighted-criteria ranking engine — score and rank places by normalized, weighted factors. Zero deps, JS + Python. Powers georank.place.

ec-promethee

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

mcda-vista

VISTA method for visualizing multicriteria ranking methods

wmsd

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

wmm

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