🧊 stpyvista

Show PyVista visualizations in Streamlit.

Take a PyVista plotter object and show it on Streamlit as an interactive-ish component (as in it can be zoomed in/out, moved and rotated, but the visualization state is not returned). It uses Panel to render PyVista plotter objects within an iframe.

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📦 Installation

pip install stpyvista

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📚 Demo and documentation

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✨ Minimal example

Render a cube

import streamlit as st
import pyvista as pv
from stpyvista import stpyvista

## Initialize a plotter object
plotter = pv.Plotter(window_size=[400,400])

## Create a mesh with a cube 
mesh = pv.Cube(center=(0,0,0))

## Add some scalar field associated to the mesh
mesh['my_scalar'] = mesh.points[:, 2] * mesh.points[:, 0]

## Add mesh to the plotter
plotter.add_mesh(mesh, scalars='my_scalar', cmap='bwr')

## Final touches
plotter.view_isometric()
plotter.add_scalar_bar()
plotter.background_color = 'white'

## Pass a key to avoid re-rendering at each page change
stpyvista(plotter, key="pv_cube")

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🎈 Deploying to Streamlit Community Cloud

• By default, Community Cloud will run Python 3.8, make sure to deploy using Python 3.10 or 3.11 (New App → Advanced settings... → Python version).

• Add stpyvista to the requirements.txt file.

• Install procps, libgl1-mesa-glx and xvfb by adding them to the packages.txt file.

• The Community Cloud is a headless machine and Pyvista requires a virtual framebuffer to work. stpyvista.utils.start_xvfb checks if Xvfb is running and starts it if it was not.

  from stpyvista.utils import start_xvfb
  
  if "IS_XVFB_RUNNING" not in st.session_state:
    start_xvfb()
    st.session_state.IS_XVFB_RUNNING = True 

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🚩 Known issues

• NSInternalInconsistencyException thrown when running on macOS. Current solution is to deploy using a VM.
• RuntimeError thrown when running Python 3.9. Upgrading to panel>=1.4.0 fixes this issue. Alternatively, run using Python 3.10 or higher.
• Buggy colormaps when using panel==1.4.0. This issue was fixed with panel==1.4.1.
• cmocean==4.0.1 will raise an exception while trying to register its colormaps to matplotlib, making PyVista to crash. This issue was fixed in cmocean==4.0.3.

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🍏 Also check

• The PyVista project at https://www.pyvista.org/
• Working with Panel and Pyvista https://panel.holoviz.org
• @blackary's blog post on how to build a custom component
• Other stuff from me on https://edsaac.github.io