FastWrangler is a lightweight, high-performance VS Code extension for instant data exploration. Built on top of DuckDB-Wasm, it provides a blazing-fast alternative to heavy data tools, allowing you to profile, filter, and analyze massive datasets directly within your editor.
✨ Key Features
Blazing Performance: Powered by DuckDB-Wasm for lightning-fast SQL queries on local files.
Premium UI: A sleek, dark-themed interface with glassmorphism and smooth animations.
Instant Profiling: Generate column statistics, null counts, and distribution histograms with one click.
Smart Filtering: Global search across all columns with real-time feedback.
Virtualized Grid: Smoothly scroll through millions of rows without UI lag.
Flexible Export: Clean your data and export it back to CSV or Parquet.
Python Integration: Explore DataFrames directly from your Python debug sessions.
🚀 Getting Started
How to Use
From Explorer: Right-click any .csv, .parquet file and select FastWrangler: Explore Data.
From Python Debugger: Use the FastWrangler command to inspect live DataFrames during a debug session.
🛠️ Commands
Command
Description
FastWrangler: Explore Data
Opens the current file or variable in the FastWrangler viewer.
📊 Supported Formats
CSV (auto-detecting delimiters)
Parquet
🎨 Premium UI Controls
Search Bar: Real-time global filtering.
Summary Panel: Deep insights into column distributions and stats.
Sorting: Click column headers to toggle ASC/DESC sorting.
Export: Save your filtered views to high-performance formats.
