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whodb
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whodb

Active·★ 5.0k·Apache-2.0·Updated 2026-10-27
★ Trending

WhoDB is a lightweight, self-hosted workspace for your databases: one place to explore data, edit it, run queries and understand how a schema fits together. It runs in the browser, is easy to self-host, and is also available as a desktop app and a terminal CLI. The README suggests it for inspecting a local database, helping a teammate explore unfamiliar data, or working without a heavyweight database client. The quickest start is `docker run --rm -it -p 8080:8080 clidey/whodb`, then open localhost:8080 and enter your connection details; there is also a live demo.

You can browse and edit data in a spreadsheet-style grid with sorting, filtering, pagination and inline editing, view the schema as an interactive graph of tables and relationships, work in a multi-cell query scratchpad with autocomplete and history, import and export data, generate mock data for development, and ask questions in plain English. AI features are optional and use a provider you choose (such as Ollama, OpenAI, Anthropic or LM Studio). The CLI includes an MCP server. The Community edition supports PostgreSQL, CockroachDB, YugabyteDB, QuestDB, MySQL, MariaDB, TiDB, SQLite, DuckDB, MongoDB, FerretDB, Redis, Valkey, Dragonfly, Elasticsearch, OpenSearch, ClickHouse and Memcached. It is Apache-2.0 licensed.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool. Data as of 2026-10-24.

License
Apache-2.0
Latest release
0.136.0 · 2026-10-21
Last commit
2026-10-24
Contributors
29
Forks
239
Open issues and PRs
15
First published
2024-06-11
npm package
@clidey/whodb-cli 0.136.0 · 264 downloads last week

Source: GitHub, npm and PyPI public APIs.

#Database Management#Data Exploration#SQL Client#Self-hosted#Docker#CLI#AI Integration#Cross-platform
$ Install
$ docker run --rm -it -p 8080:8080 clidey/whodb
↗ Visit site★ GitHub
01

Features

01Browse and edit data in a spreadsheet-style grid
02Visualize database schemas with an interactive graph
03Execute and manage queries in a multi-cell scratchpad
04Import and export data, and generate mock data
05Query databases using natural language with AI integration
02

Why choose it

+One Docker command starts a browser-based workspace; also available as a desktop app and a CLI.
+Supports relational, document, key-value, search and analytics databases (PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, ClickHouse, DuckDB and more).
+Schema graph, spreadsheet-style editing, a query scratchpad, import and export, and mock-data generation.
+Optional AI with a provider of your choice (local Ollama or hosted), and an MCP server in the CLI; Apache-2.0 licensed.
03

Trade-offs

!Support varies by database because systems differ in concepts and capabilities, so not every feature exists for every source.
!Running it as a web app means exposing a service that holds database credentials, so protect it (the README shows a persistent-sessions Docker option).
!Letting an AI assistant query a database through MCP carries risk, so use read-only credentials for important data.
04

Maintenance check

ActiveChecked: 2026-10-26
Last commit
2026-10-26
Commits, last 90 days
100+
Releases, last 90 days
14
Latest release
0.136.0 (2026-10-21)
Open issues
20
Recent issues with at least one comment
0/2
Commits per week, last 12 weeks
Commits per week, last 12 weeks: 33, 51, 25, 10, 10, 57, 31, 60, 35, 74, 55, 5

Oldest week on the left; the latest four weeks are orange. Source: GitHub commit activity.

Status rule: archived on GitHub = Archived; last commit within 90 days = Active; 91 to 365 days = Slowing; older = Stale. All figures come from the GitHub API on the date shown.

Most discussed open issues

  • #583 [FR] - Dictation6 comments · 2025-08-14
  • #815 [FR] - enhance clickhouse type support4 comments · 2026-02-17
  • #1113 [FR] - {Profile login without password should prompt for password}3 comments · 2026-07-04
  • #686 [FR] - Add API functionality for post-install configuration3 comments · 2025-11-06
  • #959 [FR] - Add bookmark search to the CLI2 comments · 2026-05-03

Issue titles are quoted from GitHub. Open the link to check whether a problem still applies to the version you use.

05

Compatibility

Docker
Deployment
Verified via docs
Windows
OS
Verified via docs
macOS
OS
Verified via docs
Linux (Snap)
OS
Verified via docs
CLI
Interface
Verified via docs
SQL & NoSQL Databases
Data Source
Verified via docs
06

Quick start

1
$ docker run --rm -it -p 8080:8080 clidey/whodb
07

Use cases

↳Inspect and manage local databases easily
↳Assist teammates in exploring unfamiliar data structures
↳Work with databases without installing a heavyweight client
↳Ask natural language questions about data with AI assistance
08

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On this page
01Features02Why choose it03Trade-offs04Maintenance check05Compatibility06Quick start07Use cases08Alternatives
clidey /
whodb
↗

Lightweight self-hosted database workspace for the browser, desktop and terminal

5.0k239Apache-2.0
Last commit1d ago
StatusActive
CategoryDev Tooling
Contributors29
Latest release0.136.0
Links
Documentation↗Discussion↗Issues↗Releases↗
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