Kafka Sprout

This interface makes it easier to identify topics which are unevenly distributed across the cluster or have partition leaders unevenly distributed across the cluster. It supports management of multiple clusters, preferred replica election, replica re-assignment, and topic creation. It is also great for getting a quick bird’s eye view of the cluster.

It provides a RESTful interface to a Kafka cluster. It makes it easy to produce and consume messages, view the state of the cluster, and perform administrative actions without using the native Kafka protocol or clients. Examples of use cases include reporting data to Kafka from any frontend app built in any language, ingesting messages into a stream processing framework that doesn't yet support Kafka, and scripting administrative actions.

This gem is a modern Kafka client library for Ruby based on librdkafka. It wraps the production-ready C client using the ffi gem and targets Kafka 1.0+ and Ruby 2.3+.

It is a simple tool that makes your data flows observable, helps find and troubleshoot issues faster and deliver optimal performance. Its lightweight dashboard makes it easy to track key metrics of your Kafka clusters - Brokers, Topics, Partitions, Production, and Consumption.

It is a web UI for viewing Kafka topics and browsing consumer groups. The tool displays information such as brokers, topics, partitions, consumers, and lets you view messages.

It is a web application that helps you to explore messages in your Apache Kafka cluster and get better insights on what is actually happening in your Kafka cluster in the most comfortable way.

It is a Kafka GUI for topics, topics data, consumers group, schema registry, connect and more. It works with modern Kafka cluster.

It is a simple and secure self service DataOps platform, to operate with confidence on Apache Kafka & Kubernetes.

DoctorKafka can automatically detect broker failure and reassign the workload on the failed nodes to other nodes. DoctorKafka can also perform load balancing based on topic partitions's network usage, and makes sure that broker network usage does not exceed the defined settings.

It is a unified one-stop platform for Kafka cluster management and maintenance, producer / consumer monitoring, and use of ecological components.

It is for enterprises that need a stable way to change Apache Kafka configurations. It maintains the configuration and avoids drifts.

It is a distributed stream processing engine written in Rust, designed to efficiently perform stateful computations on streams of data.

It is an open source downloadable desktop tool that works across all platforms and provides a simple way to visualize the performance of your Kafka cluster.

It aims to be a minimal Kafka implementation for simple workloads that wish to use Kafka as a distributed write-ahead log. It is not a general-purpose Kafka implementation, instead, it is heavily optimised for simplicity, both in terms of implementation and its emergent operational characteristics.

It is a service persisting Kafka logs to Amazon S3, Google Cloud Storage, Microsoft Azure Blob Storage and Openstack Swift.

It is an open-source web application to help small teams with monitoring and management of Apache Kafka clusters. With this tool, you can monitor key metrics related to broker and topic performance and take actions around them.

It is a Kafka health monitoring suite. It offers a dynamic solution to observe your Kafka platform in real time, compare against historically logged data and ensures your broker does not throttle user experience.

It is a visualization and optimization insight tool for Apache Kafka. It simplifies monitoring of a Kafka cluster by allowing developers to quickly view a snapshot of a cluster's health and visualize and compare topic level metrics in a cluster.