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Streamline your Kafka data processing, this tool aims to standardize streaming data from multiple Kafka clusters. With a pub-sub approach, multiple functions can easily subscribe to incoming messages, serialization can be specified per topic, and data is automatically processed b
pip install snapstream
PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.
snapstream publishes 1 wheel and 1 source archive for version 1.0.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.8, 3.9.
PyPI lists 16 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .