# clidey/whodb

Where data access meets operational intelligence

Repository: https://github.com/clidey/whodb
Canonical: https://ross.abutalabs.com/products/whodb
Homepage: https://whodb.com
Language: Go
License: Apache-2.0
License Family: permissive
Topics: mysql, postgresql, ai-agent, data-catalog, data-governance, data-integration, data-lineage, data-pipeline, data-platform, database-management, er-diagram, internal-tools, mcp-server, model-context-protocol, oracle, self-hosted, sql-editor, sqlserver, text-to-sql, visual-query-builder
Last push: 2026-08-26T15:53:56+00:00

## Health v2 (maintenance only)
Score: 86/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 86, longevity 58
- inputs: {"age_days": 813, "days_push": 7, "days_rel": 12, "gap_med": 4, "n_releases_24m": 98}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5014, forks 236 (observed 2026-08-28T04:09:04.689674+00:00)

## What it is
WhoDB is a lightweight, self-hosted database management workspace that lets teams explore schemas, edit data, run queries, and visualize relationships across SQL, NoSQL, and cloud data sources. It also provides data lineage, visual pipelines, a data catalog, and an AI agent with text-to-SQL capabilities, available as a web app, desktop app, or CLI.

## Use cases
- manage postgres and mysql databases from one web ui
- explore database schema with er diagrams
- generate test data for my database tables
- ask questions about my data in natural language
- trace where a metric in a dashboard came from
- build visual data pipelines without writing scripts
- self-hosted alternative to database gui clients
- connect mcp server to my databases

## When to choose
- you want one lightweight tool to browse, query, and edit many database types
- you need schema visualization and data lineage in a self-hosted workspace
- you want AI-assisted querying that respects user permissions
- you're replacing ad-hoc spreadsheets or scattered db clients with tracked workflows

## When to avoid
- you need a full enterprise data governance or catalog platform with deep compliance features
- you only need a CLI query client for a single database
- you require heavy-duty ETL orchestration at scale rather than visual pipelines
- you need offline desktop-only tooling without a server component

## Facets
- artifact type: application
- maturity: active
- function: database, data-visualization, etl, rag, chatbot, developer-tools, search-engine
- domain: databases, developer-tools, self-hosted, analytics
- platform: self-hosted, cli, go, cross-platform
- tags: database-gui, text-to-sql, data-lineage, data-catalog, mcp-server, visual-query-builder, er-diagram, sql-editor, ai-agent, data-pipelines, data-engineering, docker, web-server, desktop

## Member repositories
- clidey/whodb (main) score 86

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:04.689674+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:17:32.244848+00:00, confidence not recorded.
  - readme: https://github.com/clidey/whodb (fetched 2026-08-28T04:09:04.689674+00:00, sha 13abcba2fa70)
  - homepage: https://whodb.com (fetched 2026-08-29T08:58:29.061907+00:00, sha b345c8d5d7d4)
  - site_page: https://whodb.com/features (fetched 2026-08-29T08:58:29.064389+00:00, sha 6f1ca2ffc33b)
  - site_page: https://docs.whodb.com (fetched 2026-08-29T08:58:29.071162+00:00, sha bfb41ac04339)
  - site_page: https://whodb.com/integrations (fetched 2026-08-29T08:58:29.066296+00:00, sha 6662527343db)
  - site_page: https://whodb.com/pricing (fetched 2026-08-29T08:58:29.068079+00:00, sha 23876f06a6bd)
  - site_page: https://whodb.com/use-cases/pricing-engine (fetched 2026-08-29T08:58:29.069632+00:00, sha 193fe8dccb74)
- Data as of 2026-08-30T08:39:29.467469+00:00.