{"categories":[{"label":"Distributed Computing","url":"https://skillfed.io/packages/category/system-distributed-computing/2"}],"enrichment":{"capability":"Integrates Kafka with Confluent Schema Registry to manage topic creation, schema publishing, and message serialization in a single workflow.","skillfed_tags":["kafka","schema-registry","avro"],"use_cases":["Set up a Kafka producer that automatically registers an Avro schema on first use and validates outgoing messages against it.","Migrate existing Kafka workflows to schema-driven publishing without rewriting producer initialization logic.","Prototype or test Kafka + Schema Registry integration in development environments with minimal boilerplate.","Publish structured event data to Kafka topics where schema evolution and validation are required."],"what_it_does":"kafka-schema-registry wraps kafka-python to automate the workflow of creating Kafka topics, registering or updating schemas in Confluent Schema Registry, and serializing messages using Avro. It takes three main dependencies\u2014fastavro for Avro serialization, kafka-python for the underlying Kafka client, and requests for Schema Registry HTTP calls\u2014and combines them into a single prepare_producer() call that handles schema management and message publishing together.\n\nThe package is designed for teams using Kafka with schema governance who want to avoid manually coordinating topic creation, schema registration, and message serialization. It requires Python 3.7 or later and is permissively licensed under MIT. The codebase has been stable since mid-2022 but is no longer actively maintained, so compatibility with very recent Kafka or Schema Registry versions is not guaranteed.","worth_installing":"Yes, if you are actively using Kafka with Confluent Schema Registry and want to reduce boilerplate around topic and schema setup. The low install friction and permissive license make it a reasonable choice for new projects. However, be aware that the package has not been updated since mid-2022; if you depend on recent Kafka or Schema Registry features, or if you need active maintenance support, consider evaluating whether kafka-python alone plus direct Schema Registry API calls would be more sustainable for your use case."},"id":"kafka-schema-registry","links":{"html":"https://skillfed.io/packages/kafka-schema-registry","md":"https://skillfed.io/packages/kafka-schema-registry.md","pypi":"https://pypi.org/project/kafka-schema-registry/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2022-07-13","license_spdx":null,"license_treatment":"permissive","name":"kafka-schema-registry","python_support":"supports_current","summary":"Kafka and schema registry integration"},"popularity":{"monthly_downloads":186685,"position":9978,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.1.2"}