https://github.com/plotly/dash-vtk
Bringing vtk.js into Dash and Python
https://github.com/plotly/dash-vtk
Last synced: 2 months ago
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Bringing vtk.js into Dash and Python
- Host: GitHub
- URL: https://github.com/plotly/dash-vtk
- Owner: plotly
- License: mit
- Created: 2021-01-04T19:46:59.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2025-03-24T12:53:39.000Z (9 months ago)
- Last Synced: 2025-10-21T11:52:29.955Z (2 months ago)
- Language: Python
- Homepage:
- Size: 58.3 MB
- Stars: 130
- Watchers: 12
- Forks: 26
- Open Issues: 17
-
Metadata Files:
- Readme: README.md
- Contributing: docs/CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Codeowners: .github/CODEOWNERS
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README
# Dash VTK
*Dash VTK lets you integrate the `vtk.js` visualization pipeline directly into your Dash app. It is powered by [`react-vtk-js`](https://github.com/Kitware/react-vtk-js/).*
| ![][usage-algorithm] | ![][pyvista-point-cloud] | ![][terrain-deformation] |
| --- | --- | --- |
| ![][volume-rendering] | ![][vtk-cfd] | ![][synthetic-volume] |
* [Docs](https://dash.plotly.com/vtk)
* [Demo Explorer](https://dash-gallery.plotly.host/dash-vtk-explorer/)
* [Repository](https://github.com/plotly/dash-vtk)
* [Webinar](https://go.plotly.com/dash-vtk)
## Getting started
### Quickstart (Python)
First, install the library through `pip`:
```
pip install dash-vtk
```
Then, create a file called `app.py` and add the following example:
```python
import dash
import dash_vtk
import dash_html_components as html
app = dash.Dash(__name__)
app.layout = html.Div(
style={"width": "100%", "height": "calc(100vh - 16px)"},
children=dash_vtk.View([
dash_vtk.GeometryRepresentation([
dash_vtk.Algorithm(
vtkClass="vtkConeSource",
state={"resolution": 64, "capping": False},
)
]),
]),
)
if __name__ == "__main__":
app.run_server(debug=True)
```
Now, simply run the app:
```
python app.py
```
For a more detailed example, see `usage.py`.
### Quickstart (R)
First, install the package from GitHub (the package is not yet available via CRAN):
```
remotes::install_github("plotly/dash-vtk")
```
then, create your component and add it to your layout:
```r
library(dash)
library(dashVtk)
library(dashHtmlComponents)
app <- Dash$new()
app$layout(htmlDiv(
style = list("width" = "100%", "height" = "calc(100vh - 16px)"),
children = vtkView(list(
vtkGeometryRepresentation(
vtkAlgorithm(
vtkClass = "vtkConeSource",
state = list("resolution" = 64, "capping" = FALSE),
)
)
)
)
app$run_server()
```
### Quickstart (Julia)
First, install the package -- until it's published via the Registrator, you may install the current version via GitHub URL instead:
```
using Pkg
Pkg.add(PackageSpec(url="https://github.com/plotly/dash-vtk.git"))
```
then, create your component and add it to your layout:
```julia
using Dash, DashVtk, DashHtmlComponents
app = dash();
app.layout = html_div(style = (width = "100%", height = "calc(100vh - 16px)",)) do
vtk_view(
vtk_geometryrepresentation(
vtk_algorithm(
vtkClass = "vtkConeSource",
state = (resolution = 64, capping = false)
)
)
)
end;
run_server(app)
```
## Contributing
See [docs/CONTRIBUTING.md](./docs/CONTRIBUTING.md) to learn about:
* Setting up the environment
* Coding Style
* Code quality & design
* Tests
* Publishing
## Running the demos
First clone the project (replace `` with the desired demo):
``` bash
git clone https://github.com/plotly/dash-vtk.git
cd dash-vtk/demos//
```
Create a venv and install the requirements:
```bash
python -m venv venv
source venv/bin/activate # for Windows, use venv\Scripts\activate.bat
pip install -e ../../ # IMPORTANT! If you skip you will get the pip version of dash-vtk
pip install -r requirements.txt
```
Run the demo:
```bash
python app.py
```
### Python environments
Depending on your Python environment, you may run into deployment issue related to the vtk version that get pulled in.
Ideally we want a version of vtk equal or newer than 9. When using such version of VTK, `dash-vtk` won't even try to load the rendering module of VTK and if OpenGL is not available on your system everything will still be fine.
On the other hand, if you are running python-3.6 and/or pip-18 or less and you don't upgrade your pip version, you will only be able to use `vtk<=8.1.2`. With vtk 8, there is no way to prevent the loading of the GL library which means that you will have to install libGL on your system, or you will run into errors like this:
```
File ".../python/lib/python3.6/site-packages/vtkmodules/all.py", line 29, in
from .vtkRenderingOpenGL2 import *
ImportError: libGL.so.1: cannot open shared object file: No such file or directory
[2021-02-08 18:36:15 +0000] [10] [INFO] Worker exiting (pid: 10)
```
or this:
```
File ".../python3.7/site-packages/vtk/__init__.py", line 12, in
from .vtkOpenGLKit import *
File ".../python3.7/site-packages/vtk/vtkOpenGLKit.py", line 9, in
from vtkOpenGLKitPython import *
ModuleNotFoundError: No module named 'vtkOpenGLKitPython'
```
Heroku and Dash Enterprise handle it is slightly different because you will have to install `libgl1-mesa-glx` via some `apt` files. In the case of Heroku, you will have to use a [buildpack](https://elements.heroku.com/buildpacks/heroku/heroku-buildpack-apt) and add `libgl1-mesa-glx` to a `Aptfile` located in the root of your project. In the case of Dash Enterprise, you do not need to change the buildpack (it is handled automatically) but you will need to add `libgl1-mesa-glx` to a `apt-packages` file instead of `Aptfile`; see [this app](https://github.com/plotly/dash-sample-apps/blob/master/apps/dash-vtk-explorer/apt-packages) as an example.
## References
You can find the complete API reference in [`docs/REFERENCES.md`](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md) for each of the following components:
- [Algorithm](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#Algorithm)
- [Calculator](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#Calculator)
- [CellData](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#CellData)
- [DataArray](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#DataArray)
- [FieldData](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#FieldData)
- [GeometryRepresentation](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#GeometryRepresentation)
- [ImageData](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#ImageData)
- [PointCloudRepresentation](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#PointCloudRepresentation)
- [PointData](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#PointData)
- [PolyData](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#PolyData)
- [Reader](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#Reader)
- [ShareDataSet](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#ShareDataSet)
- [SliceRepresentation](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#SliceRepresentation)
- [View](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#View)
- [VolumeController](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#VolumeController)
- [VolumeDataRepresentation](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#VolumeDataRepresentation)
- [VolumeRepresentation](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#VolumeRepresentation)
## Demos
### Usage for `dash_vtk.Algorithm`
* [Code](https://github.com/plotly/dash-vtk/tree/master/demos/usage-algorithm)
* [Online Demo](https://dash-gallery.plotly.host/dash-vtk-explorer/usage-algorithm)
![][usage-algorithm]
### Point Cloud with PyVista
* [Code](https://github.com/plotly/dash-vtk/tree/master/demos/pyvista-point-cloud)
* [Online Demo](https://dash-gallery.plotly.host/dash-vtk-explorer/pyvista-point-cloud)
![][pyvista-point-cloud]
### Terrain deformation using PyVista and dash-vtk
* [Code](https://github.com/plotly/dash-vtk/tree/master/demos/pyvista-terrain-following-mesh)
* [Online Demo](https://dash-gallery.plotly.host/dash-vtk-explorer/pyvista-terrain-following-mesh)
![][terrain-deformation]
### Volume Rendering
* [Code](https://github.com/plotly/dash-vtk/tree/master/demos/volume-rendering)
* [Online Demo](https://dash-gallery.plotly.host/dash-vtk-explorer/volume-rendering)
![A demo of the volume-rendering app][volume-rendering]
### VTK for data processing and dash-vtk for rendering
* [Code](https://github.com/plotly/dash-vtk/tree/master/demos/usage-vtk-cfd)
* [Online Demo](https://dash-gallery.plotly.host/dash-vtk-explorer/usage-vtk-cfd)
![A demo of the usage-vtk-cfd app][vtk-cfd]
### Synthetic Volume Rendering
* [Code](https://github.com/plotly/dash-vtk/tree/master/demos/synthetic-volume-rendering)
* [Online Demo](https://dash-gallery.plotly.host/dash-vtk-explorer/synthetic-volume-rendering)
![A demo of the synthetic-volume-rendering app][synthetic-volume]
[pyvista-point-cloud]: https://github.com/plotly/dash-vtk/blob/master/demos/pyvista-point-cloud/demo.jpg?raw=true
[usage-algorithm]: https://github.com/plotly/dash-vtk/blob/master/demos/usage-algorithm/demo.jpg?raw=true
[terrain-deformation]: https://github.com/plotly/dash-vtk/blob/master/demos/pyvista-terrain-following-mesh/demo.jpg?raw=true
[volume-rendering]: https://github.com/plotly/dash-vtk/blob/master/demos/volume-rendering/demo.jpg?raw=true
[vtk-cfd]: https://github.com/plotly/dash-vtk/blob/master/demos/usage-vtk-cfd/demo.jpg?raw=true
[synthetic-volume]: https://github.com/plotly/dash-vtk/blob/master/demos/synthetic-volume-rendering/demo.jpg?raw=true
[dicom-ct-lung]: https://github.com/plotly/dash-vtk/blob/master/demos/dicom-ct-lung/demo.jpg?raw=true
[dicom-mri-brain]: https://github.com/plotly/dash-vtk/blob/master/demos/dicom-mri-brain/demo.jpg?raw=true
[dicom-mri-pancreas]: https://github.com/plotly/dash-vtk/blob/master/demos/dicom-mri-pancreas/demo.jpg?raw=true