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QuackTable - Structured Data Explorer

QuackTable - Structured Data Explorer

Arun Pandian R

|
3 installs
| (0) | Free
Visual explorer for Parquet, CSV, and JSON files with powerful SQL querying, schema inspection, and data statistics powered by DuckDB
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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More Info

QuackTable

View, query, and analyze Parquet and CSV files directly in VS Code, powered by DuckDB.

VS Code Marketplace License: MIT


QuackTable Demo


Features

  • SQL Editor — Write and execute SQL queries with autocomplete for column names and keywords
  • Schema Tab — View column types, null counts, null %, and distinct value counts
  • Lazy Loading — Handles large files by fetching data in chunks
  • Theme-Aware UI — Adapts to your VS Code light/dark/custom theme
  • Copilot Integration — Use @quacktable in GitHub Copilot Chat to ask questions about your data

Supported Formats

Format Extensions
Apache Parquet .parquet, .pq, .parq
CSV .csv

Usage

Open any .parquet, .pq, .parq, or .csv file — QuackTable activates automatically.

  • Ctrl+Enter / Cmd+Enter — Execute query
  • Ctrl+Space — Trigger autocomplete
  • Ctrl+C — Copy selected cells
  • Ctrl+A — Select all cells

Configuration

{
  "quack-table.defaultQuery": "SELECT * FROM ${tableName}",
  "quack-table.tableName": "data",
  "quack-table.useFileNameAsTableName": false,
  "quack-table.chunkSize": 100,
  "quack-table.autoQuery": false
}

Requirements

  • VS Code 1.85.0 or higher

Contributing

Bug reports and PRs are welcome on GitHub.

License

MIT

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