#34 · Primary category: Classical Machine Learning Frameworks

Alink

apriori classification clustering data-mining feature-engineering flink flink-machine-learning flink-ml fm graph-algorithms graph-embedding kafka machine-learning recommender recommender-system regression statistics word2vec xgboost

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

Project last updated:06/07/24

GitHub Stars

3.6K

Forks

782

Contributors

17

License

Apache-2.0

Why we included this project

Alink is a machine learning platform built on Apache Flink by Alibaba's PAI team, and its main draw is that a wide range of classic algorithms lives in one place. Classification, clustering, regression, association rules, recommendation, graph mining, and feature engineering are all offered as pipeline components, so the same operators serve batch training and live streaming data without switching tools. Java is the native interface, while PyAlink exposes the same components to Python and Jupyter, which matters for teams that work mostly in notebooks. Because pipelines mirror Flink's own operator model, you can chain data sources, transformers, and models into a single execution plan that scales across a cluster instead of a single machine. If you already run Flink for stream processing, Alink is a straightforward way to add modeling without standing up a separate compute stack.

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