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

pyrepo-mcda

The Python 3 library for Multi-Criteria Decision Analysis.

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.

georank

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

uta-gms-engine

Engine for UTA GMS method

evo-spotis

Package for Multi-Criteria Decision Analysis with Preference Identification

hasse-diagram

Plot Hasse Diagram in Python

distance-metrics-mcda

Package for Multi-Criteria Decision Analysis with distance-based TOPSIS method

gpmm

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

adi-decision

Structured multi-criteria decision intelligence for Python applications and LLM agents.

mcda-vista

VISTA method for visualizing multicriteria ranking methods

ec-promethee

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

wmsd

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