zilliztech/attu

The Best GUI for Milvus

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Summary Information

Updated 3 hours ago
Added to GitGenius on September 21st, 2026
Created on December 9th, 2021
Open Issues & Pull Requests: 95 (+0)
GitHub issues: Enabled
Number of forks: 223
Total Stargazers: 3,175 (+0)
Total Subscribers: 21 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 1.9 hours
Mean response time: 19.3 days
90th percentile: 42.1 days
Tracked items: 192

How this project is maintained

About 13% of issues opened in the past year have never received a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. 60% of tracked open issues have had no activity in three months, so the open count overstates what is actively being worked. Only 32% of issues opened in the past year have been closed. Three people close 79% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 69
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 309 days
Stale 30+ days: 55
Stale 90+ days: 53

Recent activity

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

Top labels

  • ready_to_release (36)
  • enhancement (5)
  • bug (4)

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Detailed Description

Attu is a graphical user interface for Milvus, a vector database.

Attu addresses the need for visual management and interaction with Milvus vector databases. Rather than relying solely on command-line tools or programmatic APIs, Attu provides a browser-based interface that allows developers and operators to inspect collections, manage data, execute searches, and monitor database operations through a graphical environment. The tool connects to Milvus instances and exposes their functionality through an accessible web dashboard.

Attu suits teams running Milvus who prefer graphical workflows for database administration and exploration. It is particularly valuable for developers prototyping vector search applications, data engineers managing collections, and operators monitoring database health. The tool is most useful in development and staging environments where visual inspection of vector data and search results accelerates iteration and debugging. Organizations already invested in Milvus infrastructure will find Attu a natural complement to their existing deployments.

The project shows consistent maintenance activity with regular updates addressing bug fixes and feature improvements. Development follows a structured approach to issue resolution and pull request handling. The codebase receives ongoing attention to keep the tool compatible with current Milvus versions and to expand its capabilities based on user feedback.