modelsoften
Modelsoften is a software framework for developing, training, and deploying lightweight, interpretable machine learning models. It aims to lower barriers to entry through a declarative modeling language, streamlined experimentation workflows, and a runtime designed for both cloud and edge environments.
The project emerged in the early 2020s from an open-source collaboration involving researchers, educators, and developers
Architecture and core components include a declarative Model Definition Language (MDL) that describes data schemas, a
Applications span data science education, rapid prototyping, and analytics for small to medium-sized businesses. Emphasis is
Reception within its ecosystem highlights Modelsoften’s approachable design and documentation. Critics note limitations in scalability for