# Rohithgilla12/data-peek

A minimal, fast, database client desktop application. Built for developers who want to quickly peek at their data without the bloat.

Repository: https://github.com/Rohithgilla12/data-peek
Canonical: https://ross.abutalabs.com/products/data-peek
Homepage: https://www.datapeek.dev/
Language: TypeScript
License: NOASSERTION
License Family: other
Topics: developer-tools, electron, typescript
Last push: 2026-08-20T06:10:04+00:00

## Health v2 (maintenance only)
Score: 81/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 98, release rhythm 96, longevity 19
- inputs: {"age_days": 278, "days_push": 13, "days_rel": 26, "gap_med": 2, "n_releases_24m": 42}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1673, forks 101 (observed 2026-08-28T04:05:20.311758+00:00)

## What it is
data-peek is a minimal, fast, keyboard-first SQL client desktop application built with Electron and TypeScript for quickly querying and exploring databases. It supports PostgreSQL, MySQL, SQL Server, and SQLite, with an AI assistant (BYOK across OpenAI, Anthropic, Google, Groq, and Ollama), ER diagrams, SSH tunnels, and a built-in MCP server for exposing connections to AI agents.

## Use cases
- quickly peek at data in postgres without heavy tools
- run SQL queries against mysql and sqlite from a desktop app
- convert natural language questions into SQL queries
- connect to databases through SSH tunnels
- expose database connections to AI agents via MCP
- visualize query results as charts
- view ER diagrams of database schema
- edit query results inline and export them

## When to choose
- you want a lightweight, fast-opening SQL client instead of enterprise tools like DBeaver or DataGrip
- you prefer keyboard-first workflows with a command palette
- you want AI-assisted querying with your own API keys or local Ollama models
- you need read-only MCP access to your databases for AI coding agents
- you value privacy: no telemetry, credentials in OS keychain

## When to avoid
- you need full database administration or server management features
- you need database migration or bulk import/export tooling
- you need commercial use at a for-profit company without paying for a Pro license
- you need databases beyond PostgreSQL, MySQL, SQL Server, or SQLite

## Facets
- artifact type: application
- maturity: active
- function: database, developer-tools, mcp, llm-inference, data-visualization
- domain: databases, developer-tools, large-language-models
- platform: windows
- tags: sql-client, postgresql, mysql, sqlite, sql-server, ai-assistant, natural-language-to-sql, ssh-tunnel, keyboard-first, byok, macos, linux, desktop, electron

## Member repositories
- Rohithgilla12/data-peek (main) score 81

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:20.311758+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 2026-08-30T03:42:34.788333+00:00, confidence not recorded.
  - readme: https://github.com/Rohithgilla12/data-peek (fetched 2026-08-28T04:05:20.311758+00:00, sha 1da14d0a0f6a)
  - homepage: https://www.datapeek.dev/ (fetched 2026-08-29T11:15:53.039066+00:00, sha 64ba5d9505c1)
  - site_page: https://docs.datapeek.dev/docs (fetched 2026-08-29T11:15:53.050940+00:00, sha 17a768f64f36)
  - site_page: https://www.datapeek.dev/blog (fetched 2026-08-29T11:15:53.048545+00:00, sha 2a376ef047d1)
- Data as of 2026-08-30T08:39:29.467469+00:00.