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MAFw: A Modular Analysis Framework for Streamlining and Optimizing Data Analysis Workflows

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The Modular Analysis Framework (MAFw) is a versatile platform engineered to streamline the development of sophisticated data analysis pipelines. Featuring a flexible and extensible architecture, MAFw enables users to easily define, customize, and chain multiple processing steps, fostering efficient and reproducible analyses. The idea behind MAFw is well described in the use case study presented in the documentation. The researcher needs to break down their analysis strategy in simple, self-contained steps (data import, conversion, filtering and aggregation, just to name a few examples) to be coded in a subclass of the MAFw basic unit, the Processor. Processors can be dasy-chained to make a pipeline via steering files and then executed by the built-in execution engine.
2025-10-08
The Open Journal Organization
JRC142129
https://joss.theoj.org/papers/10.21105/joss.08449#,    https://publications.jrc.ec.europa.eu/repository/handle/JRC142129,   
10.21105/joss.08449 (online),   
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