Ross ROSS = Recommend OSS · open-source software intelligence for agents

clidey/whodb

Where data access meets operational intelligence observed · 2026-08-28

github.com/clidey/whodb · homepage · Go · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

86/100

  • Activity 99
  • Release rhythm 86
  • Longevity 58
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 4
  • age_days: 813
  • days_rel: 12
  • days_push: 7
  • n_releases_24m: 98

Full methodology

Adoption not part of the score

5014 stars · 236 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

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

application · maturity active

database data-visualization etl rag chatbot developer-tools search-engine databases developer-tools self-hosted analytics self-hosted cli go cross-platform 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

7 sources

Member repositories

RepositoryRoleHealth v2
clidey/whodbmain86

For agents

markdown · JSON · MCP: product_card(name="clidey/whodb")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem