Skip to main content

A Streamlit component that allow support for new PyVista viewer backend: Trame.

Project description

Streamlit PyVista

PyPI version Read the Docs

A Streamlit component that allow support for new pyvista viewer backend : Trame.

Installation instructions

pip install streamlit-pyvista

Usage Instructions

import streamlit as st
from streamlit_pyvista.mesh_viewer_component import MeshViewerComponent


def main():
    st.title("Simple Streamlit App With Pyvista Viewer")

    mesh_viewer = MeshViewerComponent(
        "https://gitlab.com/dcsm/streamlit-pyvista/-/raw/main/examples/assets/plate_hole.vtu")
    mesh_viewer2 = MeshViewerComponent("assets/plate_hole.vtu")

    mesh_viewer.show()
    mesh_viewer2.show()


if __name__ == "__main__":
    main()

Note that instead of a file path or a url it's also possible to pass an array of link or path to display a sequence of files.

This viewer leverage the capabilities of the new pyvista backend Trame, beyond the nice design revamp, it also supports remote rendering.

Package documentation

You can find the automatic documentation generated with sphinx here

Workflow overview

This package has 3 different components:

  • The Streamlit component
  • The Trame viewers
  • A "Server manager"

Streamlit component

This pyvista new backend requires now to have its own server for each instance of a pyvista plotter. This means that the streamlit component can be as simple as an iframe and displayed in the app and can use a simple api to communicate with the trame server and the server manger

Trame viewers

The Trame viewers are the servers that are embeded in the streamlit app, it has exposed api endpoints that allow the component to communicate with the server for action such as loading a mesh in the viewer.

Server manager

As said earlier, the trame viewers can only display one plotter at a time which means that if we want to display multiple plotters we need multiple servers. The job of the Server manager is to control how many trame viewers exists, if they need to killed or if they can be reused for other viewers

Workflow

These 3 components interact the following manner:

  1. A MeshViewerComponent is created and notify a ServerManager that it needs a viewer.
  2. The ServerManager look if he have idling trame viewer anf if not, it start a new server.
  3. The ServerManager specify the endpoints of the server that can be used to the MeshViewerComponent
  4. The MeshViewerComponent directly communicate with the api of the trame viewer via the endpoints specified by the ServerManager

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

streamlit_pyvista-0.0.10.tar.gz (45.0 kB view hashes)

Uploaded Source

Built Distribution

streamlit_pyvista-0.0.10-py3-none-any.whl (53.7 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page