LakeDrop

中文说明 Changelog

LakeDrop is a fast, local-first desktop data explorer for large files. Open Parquet/CSV/JSONL/Arrow/Excel, run SQL, and inspect results instantly.

Features

• Drag-and-drop or open-file workflow
• SQL editor with Cmd/Ctrl+Enter execution
• Virtualized results table with sorting and column resizing
• Schema preview, file metadata, and row count
• CSV/XLSX export for query results
• i18n (EN/中文) and light/dark themes
• Built-in sample datasets for each format

Supported Formats

• Parquet: .parquet, .parq
• CSV/TSV: .csv, .tsv, .txt (also .gz)
• JSON Lines: .jsonl, .ndjson (also .gz)
• JSON (array): .json
• Arrow/IPC: .arrow, .feather, .ipc
• Excel: .xlsx, .xls (first sheet by default; sheet switcher available)

Quick Start

Install dependencies:

pnpm install

Run the desktop app:

pnpm tauri dev

Run the frontend only:

pnpm dev

Sample Data

Built-in samples are bundled and also available in development:

• public/samples/
• src-tauri/resources/samples/

Regenerate samples:

cargo run --bin build_samples --manifest-path src-tauri/Cargo.toml

SQL Examples

SELECT * FROM source LIMIT 10;

SELECT COUNT(*) AS total FROM source;

SELECT group, COUNT(*) AS cnt, AVG(score) AS avg_score
FROM source
GROUP BY group
ORDER BY cnt DESC;

Project Structure

• src/: React UI, i18n, styling
• src-tauri/: Rust backend, Tauri config, sample generator

Notes

• JSON support expects either JSON Lines (.jsonl/.ndjson) or a JSON array (.json).
• Gzip support is implemented for text formats.

License

MIT or Apache-2.0 (pick one before publishing).