kaiwaehner/kafka-streams-machine-learning-examples

This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.

911 317 +0/wk

GitHub

deep-learning deeplearning4j dl4j h2o h2oai java kafka kafka-client kafka-streams keras keras-tensorflow ksql

Trend 0

Star & Fork Trend (17 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 911

forks 317

Growth Velocity

kaiwaehner/kafka-streams-machine-learning-examples has +0 stars this period . Velocity data will be available after more historical data is collected.

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Metric	kafka-streams-machine-learning-examples	motorhead	pytorch-deform-conv	awesome-CARLA
Stars	911	911	911	911
Forks	317	86	146	127
Weekly Growth	+0	+0	+0	+0
Language	Java	Rust	Python	N/A
Sources	1	1	1	1
License	Apache-2.0	Apache-2.0	MIT	CC0-1.0

Capability Radar vs motorhead

kafka-streams-machine-learning-examples

motorhead

Maintenance Activity 0

Last code push 843 days ago.

Community Engagement 100

Fork-to-star ratio: 34.8%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 95

Licensed under Apache-2.0. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.