data-peek

A minimal, fast SQL client desktop application with AI-powered querying. Built for developers who want to quickly peek at their data without the bloat. Supports PostgreSQL, MySQL, Microsoft SQL Server, and SQLite.

Screenshots

AI Assistant - Generate charts and insights

AI Assistant - Natural language to SQL

ER Diagrams - Visualize relationships

Command Palette - Quick actions

Light Mode

Features

Core

• Fast - Opens in under 2 seconds, low memory footprint
• Multi-Database - PostgreSQL, MySQL, Microsoft SQL Server, SQLite
• SSH Tunnels - Connect securely through bastion hosts with password or key auth
• Secure - Connection credentials encrypted locally using OS keychain, no telemetry

AI Assistant

• Natural Language Queries - Ask questions in plain English, get SQL
• Multi-Provider - OpenAI, Anthropic, Google, Groq, and local Ollama models (BYOK)
• Charts & Insights - Generate visualizations and metrics from query results
• Schema-Aware - AI understands your database structure for accurate queries

Query Editor

• Monaco Editor - SQL syntax highlighting with smart autocomplete
• Table Aliases - Autocomplete understands aliases for complex queries
• Multi-tab & Multi-window - Work with multiple queries and databases simultaneously
• Saved Queries - Bookmark and organize queries with folders and tags
• Command Palette - Cmd+K to access everything instantly

Performance Analysis

• Query Telemetry - Detailed timing breakdown with waterfall visualization
• Benchmark Mode - Run queries multiple times, get p50/p90/p99 statistics
• EXPLAIN Viewer - Analyze query plans with interactive node breakdown
• Performance Indicator - Detect missing indexes, N+1 patterns, and slow queries with auto-generated fix suggestions
• Cancel Queries - Stop long-running queries mid-execution

Data Management

• Schema Explorer - Browse tables, views, stored procedures, and functions
• Inline Editing - Edit table data directly with INSERT/UPDATE/DELETE
• Table Designer - Create and alter tables with full DDL support (columns, indexes, constraints, partitions)
• JSON Editor - Dedicated editor for JSON/JSONB columns
• Export - Export results to CSV, JSON, or Excel
• CSV Import - Import CSV files with column mapping, type inference, and conflict handling
• Data Generator - Generate realistic fake data with Faker.js, FK-aware, in a dedicated tab
• Column Statistics - One-click data profiling per column (min/max/avg, histograms, top values)
• Data Masking - Blur sensitive columns for demos and screenshots with auto-mask rules

Visualization

• ERD Diagrams - See table relationships with interactive entity-relationship diagrams
• Foreign Key Navigation - Jump to related records with one click

Database Monitoring

• Connection Health Monitor - Dashboard with active queries, table sizes, cache hit ratios, and lock detection
• PostgreSQL Notifications - Subscribe to LISTEN/NOTIFY channels with real-time event log
• Kill Queries - Terminate long-running or blocking queries from the health dashboard

User Experience

• Dark/Light Mode - Easy on the eyes, follows system preference
• Keyboard-First - Power users shouldn't need a mouse
• Auto-Updates - Automatic updates with toast notifications

Installation

Quick Install

macOS and Linux

curl -fsSL https://install.cat/Rohithgilla12/data-peek | sh

The installer detects your platform, downloads the latest GitHub release, and installs:

• macOS: the matching .dmg, copies Data Peek.app, and runs xattr -cr automatically
• Linux: the latest x86_64.AppImage into ~/.local/bin/data-peek

Windows PowerShell

irm https://install.cat/Rohithgilla12/data-peek | iex

The PowerShell installer downloads the latest setup.exe release and runs it for you.

Alternative Install Methods

macOS: Homebrew

brew install --cask Rohithgilla12/tap/data-peek

Download

Download the latest release for your platform from Releases.

• macOS: .dmg (Intel & Apple Silicon)
• Windows: .exe installer
• Linux: .AppImage, .deb, or .tar.gz

macOS: Code Signing

Starting from v0.4.0, data-peek is code signed and notarized for macOS. You should be able to open it directly without any warnings.

If you install with the quick installer, it already runs the xattr cleanup for you.

If you're using an older version or a manual install and see an "App is damaged" warning:

Option 1: Terminal command

xattr -cr "/Applications/Data Peek.app"

Option 2: Right-click to open

1. Right-click (or Control+click) on Data Peek.app
2. Select "Open" from the menu
3. Click "Open" in the dialog

Linux: Auto-Updates

Auto-updates only work with the AppImage format. If you installed via .deb or .tar.gz, you'll need to manually download new releases from the Releases page.

Format	Auto-Update
AppImage	Yes
.deb	No (manual update)
.tar.gz	No (manual update)

For the best experience with automatic updates, we recommend using the AppImage.

Build from Source

# Clone the repository
git clone https://github.com/Rohithgilla12/data-peek.git
cd data-peek

# Install dependencies
pnpm install

# Run in development mode
pnpm dev

# Build for your platform
pnpm build:mac    # macOS
pnpm build:win    # Windows
pnpm build:linux  # Linux

Troubleshooting: Electron not found

If you get errors about Electron not being found after pnpm install:

# Option 1: Run the setup script
pnpm setup:electron

# Option 2: Rebuild native modules
pnpm rebuild

# Option 3: Clean install (nuclear option)
pnpm clean:install

This can happen when pnpm's cache skips Electron's postinstall script that downloads platform-specific binaries.

Tech Stack

Layer	Technology
Desktop	Electron
Frontend	React 19 + TypeScript
UI	shadcn/ui + Tailwind CSS
State	Zustand
Query Editor	Monaco
Database	pg (PostgreSQL), mysql2 (MySQL), mssql (SQL Server), better-sqlite3 (SQLite)

Project Structure

apps/
  desktop/     # Electron desktop application
  web/         # Marketing website + licensing
packages/
  shared/      # Shared types for IPC

Development

# Install dependencies
pnpm install

# Start desktop app with hot reload
pnpm dev

# Start web app
pnpm dev:web

# Lint all workspaces
pnpm lint

# Build desktop app
pnpm build

Star History

Sponsors

Tembo — Goodbye Database Sprawl

License

MIT License - see LICENSE for details.

Pre-built binaries require a license for commercial use. See the license file for details on free vs. commercial use.

Contributing

Contributions are welcome! Please see CONTRIBUTING.md for guidelines.

Support

• GitHub Issues - Bug reports and feature requests
• GitHub Sponsors - Support development
• Twitter/X: @gillarohith