Package Exports
- @tensorflow/tfjs-vis
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Readme
tfjs-vis
tfjs-vis is a small library for in browser visualization intended for use with TensorFlow.js.
It's main features are:
- A set of visualizations useful for visualizing model behaviour
- A set of high level functions for visualizing objects specific to TensorFlow.js
- A way to organize visualizations of model behaviour that won't interfere with your web application
The library also aims to be flexible and make it easy for you to incorporate custom visualizations using tools of your choosing, such as d3, Chart.js or plotly.js.
Demos
Installation
You can install this using npm with
npm install @tensorflow/tfjs-visor using yarn with
yarn add @tensorflow/tfjs-visYou can also load it via script tag using the following tag, however you need to have TensorFlow.js also loaded on the page to work. Including both is shown below.
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs"> </script>
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-vis"></script>Building from source
To build the library, you need to have node.js installed. We use yarn
instead of npm but you can use either.
First install dependencies with
yarnor
npm installThen do a build with
yarn buildor
npm run buildThis should produce a tfjs-vis.umd.min.js file in the dist folder that you can
use.
Sample Usage
const data = [
{ index: 0, value: 50 },
{ index: 1, value: 100 },
{ index: 2, value: 150 },
];
// Get a surface
const surface = tfvis.visor().surface({ name: 'Barchart', tab: 'Charts' });
// Render a barchart on that surface
tfvis.render.barchart(data, surface, {});This should show something like the following

Issues
Found a bug or have a feature request? Please file an issue on the main TensorFlow.js repository
API
See https://js.tensorflow.org/api_vis/latest/ for interactive API documentation.