CSV & Parquet Table Viewer Lite

A lightweight Visual Studio Code extension for viewing CSV and Parquet files as clean, interactive HTML tables.

📌 Overview

CSV & Parquet Table Viewer Lite lets you inspect tabular data directly inside VS Code — no external tools, no terminals, no plugins.
Right‑click a file in the Explorer and instantly open it as a formatted, sortable table.

Perfect for developers, analysts, testers, data engineers, and anyone who works with structured data.

✨ Features

✔ Open directly from Explorer

Right‑click a file and choose:

• Open CSV in Table Viewer
• Open Parquet in Table Viewer

The viewer opens immediately in a side panel.

✔ Clean, readable HTML table

Your data is rendered as a simple, elegant table:

• Automatic header styling
• Clear borders and spacing
• No external libraries
• Works fully offline

✔ Column sorting

Click any column header to sort:

• Ascending / descending toggle
• Numeric vs. text sorting handled automatically
• Visual arrow indicators (▲ ▼)

✔ Hide & unhide columns

Right‑click a column header to hide it.
Hidden columns appear as buttons above the table — click to unhide.

Great for focusing on the fields that matter.

✔ Parquet support

Open .parquet files directly from the Explorer.
The extension reads the schema and displays the rows just like CSV.

✔ Lightweight and fast

• Minimal CSV and Parquet readers
• No heavy dependencies
• Designed for quick inspection, not full data processing

📦 Installation

From the VS Code Marketplace

Search for:

CSV & Parquet Table Viewer Lite

and click Install.

From a .vsix file

1. Open the Command Palette
2. Run Extensions: Install from VSIX…
3. Select the .vsix file

🚀 Usage

From Explorer

1. Right‑click a .csv or .parquet file
2. Choose the appropriate Open … in Table Viewer command

The table opens in a new editor panel.

🛠 Notes

• The viewer is read‑only — your files are never modified
• Sorting and hide/unhide are handled entirely inside the webview
• Large files work as long as they fit in VS Code’s memory
• The extension does not send data anywhere; everything stays local

❤️ Feedback

Have ideas for improvements — filters, resizing, sticky headers, pagination?
Feel free to share your thoughts and help shape the next version.