* [Materialize v26.43.0](https://github.com/MaterializeInc/materialize) – Real-time data integration platform that continually updates consistent, queryable views of transactional data using an SQL interface.

* [kafkactl v5.21.0](https://github.com/deviceinsight/kafkactl) – Command-line interface for interacting with Apache Kafka supporting multiple features like auto-completion and protobuf messages.

* [node-rdkafka v3.7.0](https://github.com/Blizzard/node-rdkafka) – High-performance Node.js client for Apache Kafka that wraps the native librdkafka library.

* [Workflow v1.0.0](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.

* [sarama v1.61.0](https://github.com/IBM/sarama) – Go client library for Apache Kafka.

* [RisingWave v3.1.0](https://github.com/risingwavelabs/risingwave) – World's most advanced event stream processing platform for real-time data management and analysis.

* [Rdkafka v0.31.0](https://github.com/karafka/rdkafka-ruby) – Modern Kafka client library for Ruby based on librdkafka.

* [confluent-kafka-javascript v1.11.0](https://github.com/confluentinc/confluent-kafka-javascript) – JavaScript client providing a high-performance, reliable, and flexible interface for Apache Kafka based on node-rdkafka.

* [kafgres 0.3.0](https://github.com/RayElg/kafgres) – PostgreSQL extension that embeds a Kafka broker so unmodified Kafka clients store topics, offsets, and logs transactionally in the database.

* [franz-go v1.22.1](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.

* [kcl v0.20.0](https://github.com/twmb/kcl) – Pure Go command-line Kafka client supporting producing, consuming, transactions, administration, ACLs, and group/share consuming.

* [Flexprice v2.1.38](https://github.com/flexprice/flexprice) – Usage metering and billing infrastructure designed for AI companies to streamline pricing models and track usage.

* [ktea v0.8.1](https://github.com/jonas-grgt/ktea) – Terminal-based client for interacting with Kafka clusters, managing topics, consumer groups, schemas, and Kafka Connect.

* [TBMQ v2.4.1](https://github.com/thingsboard/tbmq) – Scalable and fault-tolerant MQTT broker capable of handling millions of concurrent connections and messages.

* [Components Contrib v1.18.6](https://github.com/dapr/components-contrib) – Reusable components for interacting with bindings, state stores, messaging, and more in distributed applications.

* [Firehose v0.8.1](https://github.com/raystack/firehose) – Cloud-native service that consumes real-time Kafka streams and delivers them to configured HTTP, gRPC, and database or metrics sinks.

* [KMinion v2.3.6](https://github.com/redpanda-data/kminion) – Feature-rich Prometheus exporter for monitoring Apache Kafka clusters with flexible configuration and metrics.

* [Mokapi v0.52.0](https://github.com/marle3003/mokapi) – API mocking tool using OpenAPI and AsyncAPI to simulate HTTP, Kafka, LDAP, and SMTP with JavaScript-driven behaviors.

* [OpenMeter v1.0.0-beta.236](https://github.com/openmeterio/openmeter) – Billing and metering platform for AI, API, and DevOps that aggregates real-time usage events and enforces usage-based limits.