A blazing-fast, lightweight, 100% client-side data exploration tool powered by DuckDB
-- Duck pond analysis - Get our ducks in a row! SELECT duck_type, COUNT(*) AS duck_count, AVG(quacks_per_minute) AS quack_rate, SUM(bread_consumed) AS total_bread FROM pond_data WHERE migration_season = 'Spring' GROUP BY duck_type ORDER BY quack_rate DESC;
# | duck_type | duck_count | quack_rate | total_bread |
---|---|---|---|---|
1 | Mallard | 42 | 28.5 | 420 slices |
2 | Wood Duck | 18 | 22.3 | 217 slices |
3 | Mandarin | 7 | 19.8 | 135 slices |
4 | Rubber Duck | 1 | 0.0 | 0 slices |
All processing happens in your browser - no data ever leaves your device
Install PondPilot as a Progressive Web App for offline use
Access files directly with real-time updates when files change externally
PondPilot doesn't write to your files, ensuring your data stays safe
All data-handles and queries automatically saved between sessions
Leverage the powerful SQL engine for blazing-fast analysis
Support for CSV, Parquet, JSON, DuckDB database and more
Why do ducks make great data analysts?
Because they're excellent at getting their ducks in a row!
Have an idea? We're all ears! Submit feature requests on GitHub
Get your data
in
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