Metaxy: Record-Level Feature Metadata Management for Multimodal ML Pipelines

Python Nix Just Submitted 04 March 2026Published 17 June 2026
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Editor: @abhishektiwari (all papers)
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Authors

Daniel Gafni (0000-0003-1237-6876), Georg Heiler (0000-0002-8684-1163)

Citation

Gafni et al., (2026). Metaxy: Record-Level Feature Metadata Management for Multimodal ML Pipelines. Journal of Open Source Software, 11(122), 10449, https://doi.org/10.21105/joss.10449

@article{Gafni2026, doi = {10.21105/joss.10449}, url = {https://doi.org/10.21105/joss.10449}, year = {2026}, publisher = {The Open Journal}, volume = {11}, number = {122}, pages = {10449}, author = {Gafni, Daniel and Heiler, Georg}, title = {Metaxy: Record-Level Feature Metadata Management for Multimodal ML Pipelines}, journal = {Journal of Open Source Software} }
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machine learning metadata feature engineering reproducibility data lineage incremental computation caching multimodal

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ISSN 2475-9066