tchiotludo/akhq

Kafka GUI for Apache Kafka to manage topics, topics data, consumers group, schema registry, connect and more...

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Summary Information

Updated 50 minutes ago
Added to GitGenius on September 18th, 2026
Created on September 9th, 2018
Open Issues & Pull Requests: 274 (+0)
GitHub issues: Enabled
Number of forks: 791
Total Stargazers: 3,853 (+0)
Total Subscribers: 60 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 5.4 days
Mean response time: 67.8 days
90th percentile: 149.8 days
Tracked items: 154

Most active contributors

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How this project is maintained

100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "backend" is answered fastest, typically in about 4 hours, while "topic data" waits about 7 days. Three people close 70% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 104
New in 7 days: 2
Closed in 7 days: 0
Avg open age: 726 days
Stale 30+ days: 96
Stale 90+ days: 88

Recent activity

Opened in 7 days: 2
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • enhancement (34)
  • wait for reply (28)
  • good first issue (26)
  • bug (24)
  • ui (23)
  • topic data (16)
  • backend (15)
  • registry (8)

Detailed Description

AKHQ is a web-based graphical interface for managing Apache Kafka clusters.

AKHQ addresses the challenge of administering Kafka through command-line tools by providing a visual interface for cluster management. The tool connects to Kafka brokers and exposes functionality for inspecting and manipulating topics, viewing topic data, managing consumer groups, integrating with schema registries, and interacting with Kafka Connect. It runs as a standalone application that communicates with your Kafka infrastructure, presenting operations that would otherwise require multiple CLI commands or custom scripts through an organized web dashboard.

Teams running Kafka clusters benefit from AKHQ when they want to reduce operational friction and make cluster inspection accessible to non-specialist users. It suits organizations that value visibility into message flows and consumer lag without building custom tooling. The project is particularly useful for development and staging environments where quick topic inspection and data exploration accelerate debugging, and for operations teams managing multiple clusters who need a unified view across deployments.

The project shows consistent maintenance with regular updates addressing bug fixes and feature additions. Development activity demonstrates responsiveness to user-reported issues and pull requests. The codebase remains actively refined with improvements to existing functionality rather than focusing primarily on major new capabilities. The project maintains clear documentation and provides straightforward deployment options for teams adopting it into their infrastructure.