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Real-time, incremental ETL library for ML with record-level depend
Datapipe is a real-time, incremental ETL library for Python with record-level dependency tracking.
Datapipe is designed to streamline the creation of data processing pipelines. It excels in scenarios where data is continuously changing, requiring pipelines to adapt and process only the modified data efficiently. This library tracks dependencies for each record in the pipeline, ensuring minimal and efficient data processing.
A graphical data manipulation and processing system including data import, numerical analysis and visualisation. The software is written in Java and built upon the Netbeans platform to provide a modular desktop data manipulation application.