Papagal

Papagal is a native macOS application designed for users who need to view and interact with various data files and databases quickly and efficiently. It supports multiple formats including SQLite, Parquet, Excel, CSV, JSON, and SQL dumps, allowing users to scroll, filter, sort, query, and export data without server setup or Electron overhead. The app is optimized for performance, opening large files instantly and providing advanced features like an SQL console and editable cells in its Pro version.

Who is it for?

macOS users who work with databases and large data files needing fast, native viewing and editing tools

Problem

Users need a fast, native tool to open and explore large data files and databases on macOS without complex setup, slow loading, or reliance on web technologies like Electron.

Solution

Papagal opens multiple data formats natively on macOS, displaying them in a performant grid with filtering, sorting, and querying capabilities, plus an SQL console and editing features in Pro, all without uploading data or requiring servers.

What makes it unique

• Truly native macOS app using Swift and Metal for performance
• Supports multiple data formats including SQLite, Parquet, Excel, CSV, JSON, and SQL dumps
• No data leaves the Mac; zero telemetry and strong privacy
• One-time Pro payment with no subscription, usable on multiple Macs

• Native macOS app

  Built with Swift and AppKit using Metal for a fast, responsive grid display.

  01
• Multi-format support

  Opens SQLite, Parquet, Excel, CSV, JSON, JSON Lines, and SQL dump files without import wizards.

  02
• Large file handling

  Instantly opens multi-million-row Parquet files without loading all data into memory.

  03
• Filtering and sorting

  Filter and sort entire tables with stackable conditions running in the database engine.

  04
• SQL console

  Run real SQL queries on any supported file with multiple tabs and query history in Pro.

  05
• Editing and saving

  Edit cells and save changes directly to files in supported formats with Pro license.

  06
• Export capabilities

  Export tables to CSV, TSV, JSON, Markdown, or SQL INSERT formats with progress and cancel options.

  07
• Privacy focused

  All data processing happens locally on the Mac with no uploads or telemetry.

  08

Business model

DIGITAL-PRODUCT

Audience

B2B

Platforms

mac

Pricing model

one-time

Value proposition

A small, fast, native macOS app that opens and lets you explore databases and data files instantly with no setup or server needed.

Analytics

VVercel Analytics

CDN

jsDelivr

Metadata

OOpen Graph

Other

VercelPPolarReact19.2.8

UI framework

Tailwind CSS

Web framework

Next.js