cloudglancer 0.1.6

Simple interactive visualization of 3D point clouds

cloudglancer

Simple interactive visualization of 3D point clouds using Plotly.

Features

• Interactive 3D scatter plots with pan, zoom, and rotation
• Support for categorical and continuous color mapping
• Combine multiple plots into subplot grids
• Easy-to-use API with sensible defaults
• Type hints for better IDE support
• Plot batched point clouds (B, N, 3)
• Export a rotating turntable GIF of any figure

Installation

pip install cloudglancer

Quick Start

import numpy as np
import cloudglancer as cg

# Generate random 3D points
points = np.random.randn(500, 3)

# Create and display the plot
cg.plot(points, title="My Point Cloud", size=2.0).show()

Export a rotating GIF of the same figure:

fig = cg.plot(points, size=2.0)
cg.animate(fig, "rotation.gif", axis="z", n_frames=60)

More examples are in the examples folder.

Development Installation

Clone the repository and install in editable mode:

git clone https://github.com/yourusername/cloudglancer.git
cd cloudglancer
python -m venv venv
source venv/bin/activate
pip install -e .

Install with Development Dependencies

pip install -e ".[dev]"

Requirements

• Python >= 3.9
• plotly >= 5.0.0
• pandas >= 2.0.0
• numpy >= 1.24.0

Building the Package

pip install build
python -m build

This will create both wheel and source distributions in the dist/ directory.

Deploy to PyPi

twine upload --verbose dist/*

License

MIT License - see LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.