Introduction

VoteM8 addresses the common challenge of combining multiple scoring criteria into a single, meaningful ranking system. The package implements various consensus scoring methods, from simple approaches like Z-scores to sophisticated algorithms such as TOPSIS and PROMETHEE II, providing researchers and data scientists with a comprehensive toolkit for multi-criteria decision making. VoteM8 is designed to be intuitive and flexible, accepting standard pandas DataFrames and offering customizable weighting schemes for different criteria. The software is particularly useful in fields such as drug discovery, materials science, and any domain where multiple metrics need to be consolidated into a single ranking. Whether you’re ranking compounds based on multiple properties or evaluating candidates across different criteria, VoteM8 provides the tools to make informed decisions through consensus scoring.