Apache Kafka® running on Kubernetes

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

Online anomaly detection for data streams/ Real-time anomaly detection for time series data.

The stream-learn is an open-source Python library for difficult data stream analysis.

BBoxDB is a scalable, highly available, and distributed data store for multi-dimensional big data. The software supports operations like multi-dimensional range queries and spatial joins. In addition, data streams are supported.

This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis" published in IEEE Transactions on Network and Service Management.

DataDog data streams library for Elixir

AutoML framework for implementing automated machine learning on data streams

Python implementation of adwin algorithm

Python framework for generating streams of labeled data.

FedStream: Prototype-Based Federated Learning on Distributed Concept-drifting Data Streams

Telestion is a ground station software developed by the TelestionTeam for WüSpace projects.

A React group chat demo powered by PubNub and reusable chat components.

Repository for the StreamingRandomPatches algorithm implemented in MOA 2019.04

Online Probabilistic Interval-based Event Calculus

Semi-supervised Federated Learning on Evolving Data Streams

Stream Autoencoder Windowing (SAW) - Change Detection Framework for high dimensional data streams

Queue-Based Resampling (QBR, ICANN 2018)

Adaptive REBAlancing (AREBA, IEEE TNNLS 2021)

Implementation of "Fast clustering-based anonymization approaches with time constraints for data streams".