trame-vtklocal 0.6.5

License

This library is OpenSource and follow the Apache Software License

Installation

pip install trame-vtklocal

# We need a VTK that has its wasm counterpart
# This is the first version available with it
# For ParaView (not yet supported), VTK don't need to be installed
pip install "vtk==9.4.0rc2" --extra-index-url https://wheels.vtk.org

Development

Build and install the Vue components

cd vue-components
npm i
npm run build
cd -

Install the library

pip install -e .

Optionally, you can develop with bleeding edge VTK by following these steps. Make sure you’ve these tools 1. git 2. CMake 3. Ninja 4. Python 5. NodeJS >= 22.0.0: https://nodejs.org/en/download/package-manager 6. Emscripten SDK: See https://emscripten.org/docs/getting_started/downloads.html#download-and-install

# Compile VTK for wasm32 architecture using emscripten. Build artifacts can be found in dev/vtk/build/wasm
./utils/build_vtk.sh -u https://gitlab.kitware.com/vtk/vtk.git -b master -t wasm32 -p RelWithDebInfo

# Compile VTK with python wrappings using system C++ compiler. Build artifacts can be found in dev/vtk/build/py
./utils/build_vtk.sh -u https://gitlab.kitware.com/vtk/vtk.git -b master -t py -p RelWithDebInfo

# Set environment variables
source ./utils/dev_environment.sh -b master -p RelWithDebInfo

Running examples

pip install trame trame-vtklocal trame-vuetify trame-vtk

# We need a VTK that has its wasm counterpart
# This is the first version available with it
# For ParaView (not yet supported), VTK don't need to be installed
pip install "vtk==9.3.20240810.dev0" --extra-index-url https://wheels.vtk.org

# regular trame app
python ./examples/vtk/cone.py

Some example are meant to test and validate WASM rendering. Some will default for remote rendering but if you want to force them to use WASM just run export USE_WASM=1 before executing them.

SharedArrayBuffer

To enable SharedArrayBuffer within trame you can just set the following on the server

server.http_headers.shared_array_buffer = True

This will download the threaded WASM version. Otherwise, the non-threaded version will be used as it does not require SharedArrayBuffer.