* [Tansu v0.6.0](https://github.com/tansu-io/tansu) – Drop-in replacement for Apache Kafka with PostgreSQL, S3, or memory storage engines.

* [RisingWave v2.7.3](https://github.com/risingwavelabs/risingwave) – World's most advanced event stream processing platform for real-time data management and analysis.

* [KMinion v2.3.0](https://github.com/redpanda-data/kminion) – Feature-rich Prometheus exporter for monitoring Apache Kafka clusters with flexible configuration and metrics.

* [franz-go pkg/sr/v1.7.0](https://github.com/twmb/franz-go) – Complete Apache Kafka client in Go supporting Kafka features from 0.8 through 4.1+, including transactions, exactly-once semantics, and admin tools.

* [StreamHouse v0.1.0](https://github.com/gbram1/streamhouse) – S3-native event streaming platform with Kafka-compatible APIs, SQL processing, and a single-binary Rust server.

* [Components Contrib v1.17.2](https://github.com/dapr/components-contrib) – Reusable components for interacting with bindings, state stores, messaging, and more in distributed applications.

* [Karafka v2.5.7](https://github.com/karafka/karafka) – Multi-threaded framework for efficient Kafka processing in Ruby and Rails.

* [Tools for Apache Kafka v0.28.0](https://github.com/jlandersen/vscode-kafka) – Visual Studio Code extension for interacting with Kafka clusters, browsing topics/brokers/configs, and producing/consuming messages.

* [Flexprice v2.0.6](https://github.com/flexprice/flexprice) – Usage metering and billing infrastructure designed for AI companies to streamline pricing models and track usage.

* [kafkalet v0.1.5](https://github.com/sneiko/kafkalet) – Desktop Kafka client focused on simplicity, direct broker connections, and low-overhead observer mode.

* [Workflow 0.3.11](https://github.com/luno/workflow) – Type-safe, event-driven Go workflow orchestration library offering compile-time guarantees, automatic retries, horizontal scaling, and infrastructure-agnostic adapters.