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SIESTA – A scalable infrastructure for sequential event analysis

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SIESTA is an application-agnostic, open-source tool designed to build incremental indices from continuously streaming event data. These indices enable efficient analysis of the data, supporting tasks such as detecting complex patterns, predicting future events, and uncovering constraints that describe both the sequence order and temporal aspects of the events.

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streamdaq

StreamDaQ

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Stream DaQ is an open-source framework developed by members of the Data and Web Science Lab (DATALAB) with a strong expertise in data streaming, anomaly detection and time series analytics. Stream DaQ is developed to keep an eye on your data stream, letting you know the moment when travelling data do not meet the expected quality in real time, so that you can take timely, informed actions. Acknowledging that every data-centric application is different, Stream DaQ comes with a comprehensive built-in suite of 60+ state-of-the-art data quality measures, so that

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