PowerDuck

Lightweight, Power BI–inspired data visualizer powered by DuckDB-WASM and Apache ECharts.

PowerDuck is a local-first data visualizer for VS Code. Open data files from Explorer, build visuals with drag-and-drop fields, and inspect or edit the SQL behind each chart.

Features

• Open local .parquet, .csv, .tsv, .json, .jsonl, and .ndjson files directly from VS Code Explorer.
• Build visuals with drag-and-drop field wells (Axis, Legend, Values, Columns, Filters).
• Use multiple visual types: bar/column variants, line, area, scatter, pie, doughnut, table, KPI card.
• Inspect and edit generated SQL, then re-run with Ctrl+Enter.
• Keep data local: all analysis runs in DuckDB-WASM inside the webview.

Getting Started

1. Install the extension.
2. In VS Code Explorer, right-click a supported data file.
3. Choose Open in Data Visualizer (PowerDuck).
4. After initialization, create visuals and optionally edit SQL.

Supported Formats

Privacy & Security

• Query execution is client-side in DuckDB-WASM.
• Local files are streamed from extension host to webview as Uint8Array chunks and are not uploaded by the extension.
• The webview uses a strict Content Security Policy.
• On first non-CSV use, DuckDB-WASM may fetch a signed format extension module from https://extensions.duckdb.org (no user data upload).

Tech Stack

• DuckDB-WASM
• Apache ECharts
• Fluent UI System Icons

Support

• Issues: GitHub Issues
• Repository: atliuhui/powerduck

License

MIT. See LICENSE.

PowerDuck is an independent open-source project. Power BI is a trademark of Microsoft Corporation; this project is not affiliated with or endorsed by Microsoft.

Contributing? See DEVELOPMENT.md.