Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debugging

BSC Group: Computer Sciences Software
Scanflow, developed by Lenovo and BSC, is a scalable library designed for managing end-to-end machine learning (ML) workflows. Its primary function is to streamline the deployment, supervision, and debugging of ML processes. Leveraging Docker containers, Scanflow ensures easy deployment, portability, and reproducibility of ML workflows, while also enabling scalability through integration with cluster orchestrators. 
Software Author: 
Gusseppe Bravo, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison
License: 

Apache License (Version 2.0)

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It enhances ML workflow management by incorporating features like experiment tracking, version control, and custom plugins for monitoring workflow behaviour in production environments. Additionally, Scanflow facilitates interactive human collaboration in model improvement and implements planning mechanisms for workflow modifications, making it a comprehensive tool for managing complex ML operations.