Skip to content
| Marketplace
Sign in
Visual Studio Code>Other>NetCDF ViewerNew to Visual Studio Code? Get it now.
NetCDF Viewer

NetCDF Viewer

Richard McDonald

|
49 installs
| (0) | Free
View NetCDF files and metadata
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
Copied to clipboard
More Info

NetCDF Viewer for VS Code

NetCDF Viewer is a Visual Studio Code extension that lets you explore and inspect NetCDF files (.nc, .nc4, .cdf, .h5) directly within your editor. Designed for scientists, engineers, and data analysts, this extension provides a fast, interactive way to browse datasets, view metadata, and preview sample data—without leaving VS Code.


✨ Features

  • Browse NetCDF files in a dedicated sidebar tree view
  • Expand dimensions, coordinates, and data variables just like in xarray
  • View variable attributes and sample data with a simple click
  • No need for external tools—all inspection is done in the editor
  • Python-powered backend for robust NetCDF parsing

📂 Supported Formats & Limitations

  • Works with local NetCDF files: .nc, .nc4, .cdf, .h5.
  • Primarily tested with NetCDF4/HDF5—older NetCDF3 files may not display all metadata.
  • Only a small preview of each variable (first ten values) is shown in the tree view.
  • Loading extremely large files can take additional time and memory.

Demonstration

  1. From the Command Palette, type netcdf-viewer.selectPythonEnv to select your Python environment.

    NetCDF Viewer Python Environment Selection

  2. Open a NetCDF file in the editor.

    • from the Welcome page, click on the "Open NetCDF File" button

      NetCDF Viewer Open File Demo

    • or right-click a .nc file in the Explorer and select Open in NetCDF Viewer

      NetCDF Viewer Open File Demo - right-click

    • or use the command palette: NetCDF Viewer: Open File…

      NetCDF Viewer Open File Demo - command palette

📦 Installation

From the VS Code Marketplace

  1. Open the Extensions view (Ctrl+Shift+X).
  2. Search for NetCDF Viewer.
  3. Click Install.

From Source

  1. Clone this repository:

    git clone https://github.com/rmcd-mscb/netcdf-viewer.git
    cd netcdf-viewer
    
  2. Install dependencies:

    npm install
    
  3. Open the folder in VS Code:

    code .
    
  4. Press F5 to launch the extension in a new Extension Development Host window.

🔄 Updating & Uninstalling

Updating

  • Marketplace: Open the Extensions view and click the refresh icon to check for updates (or enable auto-update).
  • VSIX: Download the latest .vsix and run code --install-extension netcdf-viewer-<version>.vsix.

Uninstalling

  1. Open the Extensions view (Ctrl+Shift+X).
  2. Locate NetCDF Viewer in your installed extensions.
  3. Click the gear icon and choose Uninstall.

🐍 Python Requirements

This extension uses Python (via xarray and netCDF4) to parse NetCDF files.

You must have:

  • Python 3.7+
  • xarray and netCDF4 installed in your Python environment

If you use a custom Python path, set it in your VS Code settings:

  • Select File > Preferences > Settings (or Ctrl+,)
  • Search for netcdfViewer.pythonPath
  • Set the path to your Python executable:
"netcdfViewer.pythonPath": "/path/to/python"

🚀 Usage

  1. Open the NetCDF Viewer
    Find the NetCDF Explorer in the Activity Bar or Side Bar.

  2. Open a NetCDF file

    • Right-click a .nc file in the Explorer and select Open in NetCDF Viewer
    • Or use the command palette: NetCDF Viewer: Open File…
  3. Browse your data

    • Expand Dimensions, Coordinates, and Data Variables.
    • Click on a variable to expand and see its attributes and a sample of its data.

🛠️ Development & Packaging

This extension is written in TypeScript and uses a Python script for data extraction.

To package for VS Code:

  1. Build the extension:

    npm run compile
    
  2. Package it:

    npx vsce package
    

    This will create a .vsix file you can install or distribute.

To install a VSIX:

code --install-extension netcdf-viewer-*.vsix

💡 Why NetCDF Viewer?

  • No more switching between command-line tools and your editor
  • Instantly inspect large scientific datasets
  • Works cross-platform (Windows, macOS, Linux)
  • Familiar xarray-like organization

📝 Feedback & Issues

Found a bug or have a feature request?
Open an issue on GitHub.


📄 License

Please see LICENSE.md for details.


Contributing

Please see CONTRIBUTING.md for guidelines on setting up your development environment and making contributions.


Changelog

See CHANGELOG.md for a history of changes to this project.


Happy data exploring!

  • Contact us
  • Jobs
  • Privacy
  • Manage cookies
  • Terms of use
  • Trademarks
© 2025 Microsoft