FlFe
FlFe is an open-source software framework and data format designed to support flexible feature extraction in machine learning and data analysis. It provides a declarative language and modular components to define, assemble, and reuse features across datasets and models, enabling reproducible experiments and easier feature management.
The project began in the early 2020s as a collaboration among data scientists and software engineers seeking
FlFe's architecture centers on a core engine and pluggable modules: data adapters for input sources, a library
Features include lazy evaluation, caching of intermediate results, scalable execution, cross-language bindings, and integration hooks with
Adoption is modest but growing in research settings and mid-size enterprises. It is commonly used to prototype