JupyterLab Image Downloader for SVG and Common Image Formats

A userscript to add a download button to images and SVGs rendered in JupyterLab notebooks. This script supports both .svg and common image formats like .png and .jpeg. The download buttons appear in the top-right corner of the rendered output, allowing you to save the plot with a single click.

Features

• Automatically detects and adds a download button to:
  • SVG graphics rendered in .jp-RenderedSVG elements.
  • Images rendered in .jp-RenderedImage elements (e.g., .png, .jpeg).
• Dynamically supports new images added during notebook execution.
• Downloads files in their original format with the correct extension (e.g., .svg, .png).
• Works with both http and https JupyterLab domains.

Example

You can use the code below to test the button.

```python

The line below is a magic command configuring matplotlib to display graphics in SVG format. SVG format is supported natively by JupyterLab and appears embedded as HTML5.

%config InlineBackend.figure_formats = ['svg']

import numpy as np import matplotlib.pyplot as plt

Generate data for the plot

x = np.linspace(0, 2 * np.pi, 100) # 100 points between 0 and 2π y = np.sin(x) # Sine function

Create the plot

plt.figure(figsize=(8, 5)) plt.plot(x*180/np.pi, y, label='sin(x)', color='blue', linewidth=2) plt.title('Plot of sin(x)', fontsize=14) plt.xlabel('x (degrees)', fontsize=12) plt.ylabel('y', fontsize=12) plt.axhline(0, color='gray', linewidth=0.5, linestyle='--') plt.legend(fontsize=12) plt.grid(alpha=0.2)

Show the plot

plt.tight_layout() plt.show() ```

The screenshot below shows how the download button should look if the script is working correctly.

Installation

1. Install a Userscript Manager:

   • For Chrome, Firefox, or Edge, use the recommended Violentmonkey.
   • Alternatively, use Tampermonkey or Greasemonkey.

2. Install the Script:

   • Copy the code from JupyterLab Image Downloader and create a new userscript in your script manager.
   • Alternatively, click the raw link in the repository to install directly via your userscript manager.

3. Reload JupyterLab:

   • The script will automatically work on both http and https JupyterLab domains.

Usage

1. Open your JupyterLab notebook.
2. Execute a cell that generates an image or SVG plot.
3. A download button (with a Font Awesome icon) will appear in the top-right corner of the rendered output.
4. Click the button to save the plot or image in the appropriate format.

Example Output

The button appears in the top-right corner of any supported element:

html <div class="jp-RenderedImage" data-mime-type="image/png"> <img src="data:image/png;base64,..."> <button class="download-image-button"><i class="fas fa-download"></i></button> </div>

Development

To modify or extend the script:

1. Clone the repository: bash git clone https://github.com/your-username/jupyterlab-image-downloader.git cd jupyterlab-image-downloader

2. Edit the userscript (jupyterlab-image-downloader.js) as needed.

3. Test the changes by pasting the script into your userscript manager.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Author

• Author: Andrea Alberti
• GitHub Profile: alberti42
• Donations: If you found this script helpful, consider supporting its development via Buy Me a Coffee.

Feel free to contribute to the development of this plugin or report any issues in the GitHub repository.