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 * [NitroFE](https://github.com/NITRO-AI/NitroFE) - Moving window features. <img height="20" src="img/sklearn_big.png" alt="sklearn">
 * [sk-transformer](https://github.com/chrislemke/sk-transformers) - A collection of various pandas & scikit-learn compatible transformers for all kinds of preprocessing and feature engineering steps <img height="20" src="img/pandas_big.png" alt="pandas compatible">
 * [tubular](https://github.com/azukds/tubular) - Collection of scikit-learn compatible transformers written in [narwhals]( https://github.com/narwhals-dev/narwhals), which can accept either polars/pandas inputs and utilise the chosen library under the hood. <img height="20" src="img/sklearn_big.png" alt="sklearn"><img height="20" src="img/pandas_big.png" alt="pandas compatible">
+* [mloda](https://github.com/mloda-ai/mloda) - Plugin-based feature engineering framework, framework-agnostic across pandas, polars, PyArrow, DuckDB and Spark, with built-in lineage tracing.
 
 
 ### Feature Selection