VoteM8#
VoteM8 is a Python library for consensus scoring and ranking of multi-criteria data. It implements multiple scoring methods including ECR, RbR, TOPSIS, VIKOR and others to combine different evaluation metrics into unified rankings. The library supports customizable weights, handles missing values, and provides both normalization and aggregation options. It includes a command-line interface and can process both CSV and SDF file formats, making it particularly useful for processing molecular docking scores and other scientific data requiring consensus analysis.
Implements 12 different consensus scoring methods including ECR, RbR, TOPSIS, VIKOR, and Pareto rankings. Each method can be used individually or combined for robust consensus analysis of complex datasets.
Handles both CSV and SDF file formats with built-in missing value strategies, customizable weights, and normalization options. Supports aggregation methods and weighted criteria to adapt to different analysis needs.
Provides an intuitive CLI for rapid analysis without coding. Users can specify methods, columns, weights, and other parameters directly from the command line, making it accessible for both programmers and non-programmers.
Start off with the introduction section to learn more about VoteM8’s motivations, objectives and capabilities. This section offers a high-level overview of VoteM8, highlighting its main features, the challenges they address, and the value they bring to your projects. Serving as an excellent starting point for new users, it also provides a summary of fundamental concepts and background information that are essential to fully understanding and utilizing VoteM8.
Dive into the user manual for in-depth information on the key concepts of VoteM8, along with detailed explanations of all its features and functionalities. From step-by-step instructions on installing and upgrading VoteM8, to comprehensive guides on how to use its various features and functionalities, the user manual covers everything you need to know to fully leverage VoteM8’s capabilities.
Explore the complete Python package documentation and learn to interact programmatically with VoteM8. This section provides a full reference of VoteM8’s application programming interface (API), including all its packages, modules, classes, methods, functions, and attributes.
Check out our blog to stay up to date with the latest announcements and developments of the VoteM8 project. This section keeps you informed about VoteM8’s new releases with detailed changelogs, and provides insights into the project’s roadmap and the team’s plans for the future of VoteM8. Being the main source of information about VoteM8’s latest developments, the news section is a full-fledged blog with RSS feed support that you can subscribe to, so you never miss out on any important updates.
VoteM8 is a free and open-source project that can only survive and grow through the help and support of great members like you. If you are interested in joining the VoteM8 community, head over to our contribution guide to learn more about how you can help. From sharing your feedback and ideas or becoming a collaborator and helping us develop the project, to spreading the word and helping us reach more people or becoming a sponsor and supporting the project financially, we highly appreciate all your contributions!
Learn more about the team behind VoteM8 and the project’s history. The About section offers insights into our mission, core values, and the dedication driving VoteM8’s success.
The Help section is your go-to resource for assistance with any challenges you encounter. Explore FAQs, troubleshoot common issues, and connect with our support team for personalized solutions.