Kaspr is a Python library for Kafka stream processing, extending the capabilities of the Faust library to provide a more configuration-driven approach to building streaming pipelines. With Kaspr, developers can easily configure event routing, filtering, and transformation, alongside integrating custom logic in Python to create robust, exactly-once processing pipelines.

• Easy Configuration: Kaspr utilizes a configuration-driven approach, allowing for the straightforward setup of streaming patterns like event routing, filtering, and transformation.
• Custom Logic Integration: Incorporate your Python code to add specific logic to your streaming pipeline, enhancing flexibility and functionality. Prebuilt Components:
• Message Scheduler: Schedule Kafka messages to be dispatched at a future date and time.
• Deduplicate: Simplify the deduplication of Kafka messages based on their keys, ensuring message uniqueness.

Kaspr is released under the MIT License. See the LICENSE file for more details.

Kaspr builds upon the excellent work done by the Faust library and is designed to make stream processing with Kafka more accessible and manageable.