arvot1

Arvot1 is an open-source software framework for value-based decision making and multi-criteria decision analysis. It provides data models, evaluation algorithms, and visualization tools to help analysts construct and compare options that involve multiple criteria and stakeholder values.

The project emerged from a collaborative effort among researchers and developers focused on decision support and value modeling. A public repository and initial documentation were released in 2023, with subsequent major updates in 2024 that introduced a modular plugin system and expanded MCDA methods.

Arvot1 features a modular architecture that includes a core data model, weighting and scoring mechanisms, and aggregation and sensitivity analysis. It supports a range of MCDA methods, including AHP, TOPSIS, ELECTRE, and PROMETHEE, and provides visualization dashboards to interpret results. The framework offers API bindings for Python and JavaScript and uses JSON-based configuration to enable reproducible experiments. Its design emphasizes extensibility, allowing researchers and practitioners to add custom criteria, methods, and visualization components.

Usage and impact targets academia, public policy, product design, and risk assessment, among other fields. It has been applied in case studies involving policy evaluation, portfolio optimization, and value-alignment research, and is supported by an active community that contributes plugins and documentation. Arvot1 aims to balance methodological rigor with practical usability, facilitating transparent and repeatable decision analyses across diverse domains.