clidey/whodb

Where data access meets operational intelligence

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Summary Information

Updated 36 minutes ago
Added to GitGenius on September 13th, 2026
Created on June 11th, 2024
Open Issues & Pull Requests: 42 (+0)
GitHub issues: Enabled
Number of forks: 238
Total Stargazers: 5,026 (+0)
Total Subscribers: 21 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 24.4 hours
Mean response time: 6.9 days
90th percentile: 12.4 days
Tracked items: 149

Most active contributors

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How this project is maintained

Around half of the issues opened in the past year never receive a reply. Work labelled "question" is answered fastest, typically in about 3 hours, while "cli" waits about 5 days. Only 6% of issues opened in the past year have been closed. Three people close 90% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 9
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 173 days
Stale 30+ days: 8
Stale 90+ days: 4

Recent activity

Opened in 7 days: 1
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (68)
  • enhancement (56)
  • good first issue (26)
  • backlog (24)
  • cli (21)
  • javascript (19)
  • go (18)
  • help wanted (12)

Detailed Description

WhoDB is a self-hosted database workspace that runs in the browser and provides a unified interface for exploring, editing, and querying multiple database systems.

The tool addresses the friction of working with databases without installing heavyweight clients or switching between specialized tools. It centralizes database access through a single web interface where users can browse tables in a spreadsheet-style grid, visualize schema relationships as an interactive graph, write and iterate on queries in a scratchpad with history and autocomplete, and perform data operations like imports and exports. Optional AI integration lets users ask questions in plain English by connecting to local or hosted providers such as Ollama, OpenAI, Anthropic, or LM Studio.

WhoDB suits teams that need lightweight database exploration without dedicated database clients, developers inspecting local databases during development, and situations where sharing database access with teammates requires minimal setup friction. It supports a broad range of databases including PostgreSQL, MySQL, SQLite, MongoDB, Redis, Elasticsearch, and ClickHouse, though feature availability varies by database type. The tool is available as a browser application, desktop app, or terminal CLI with an MCP server interface. Self-hosting via Docker makes it suitable for environments where external SaaS tools are not acceptable.

The project shows consistent development activity with regular commits and closed issues and pull requests, indicating ongoing maintenance and responsiveness to user feedback. The maintainers have built out multiple deployment and interface options—browser, desktop, and CLI—suggesting a commitment to meeting users where they work. The inclusion of optional AI features as an add-on rather than a core requirement indicates a design philosophy that keeps the tool lightweight while offering advanced capabilities for those who need them.