Creating Serverless Plotly Chart Exports

This is a step by step tutorial on creating a chart URL API on AWS. At the end of this tutorial, you will have an API endpoint that renders charts and outputs them to the browser. is a javascript charting library for the frontend and won't work on the server without some help. To render charts on the backend, we are going to use PlotlyChartExport.
PlotlyChartExport is a chart rendering module that renders static charts on the server. It's a lightweight module designed for serverless environments. There are other modules out there that can generate charts on the server, but they have dependencies that rely on graphics libraries such as Cairo.

PlotlyChartExport doesn't rely on those dependencies nor does it rely on those libraries. It uses phantom.js (scriptable browser) to render a chart which gets cropped, base64 encoded and returned in a resolving promise.

Getting Started

To create serverless chart exports we need to :

  • Create a lambda function that renders a chart
  • Create an API Endpoint that invokes that lambda function and outputs that chart

Create a Node.js Lambda Function

The first thing we need to do is create lambda function that will render our chart. In the AWS console, navigate to the Cloud9 service and create a new environment. Cloud9 is an online IDE that lets you write code on a server as well as create lambda functions, test them, and deploy them.

Inside the environment, open a shell terminal and install plotlychartexport.

npm install plotlychartexport --save

Add the following code to the lambda function. The code defines 2 scatter plots and sends them along with layout parameters to PlotlyChartExport for rendering.

const exp = require('plotlychartexport');
exports.handler = (event, context, callback) => {

/// define data properties
let trace1 = {
    x: [1, 2, 3, 4],
    y: [10, 15, 13, 17],
    type: 'scatter'
let trace2 = {
    x: [1, 2, 3, 4],
    y: [16, 5, 11, 9],
    type: 'scatter'

/// define layout
let layout = {
    title: 'Line and Scatter Plot'

/// run render command
exp.render([trace1, trace2], layout).then((base) => {
}, (error) => {


Awesome, we have our Lambda function prepared to render charts. Deploy it and let's get our API endpoint working.

AWS API Gateway

To get the API endpoint up and communicating with our lambda function we need to :

  • Create a new API endpoint
  • Connect the Lambda
  • Define API Content Type
  • Add Binary Support for image/png.

Lets Get Started

Navigate to the AWS API Gateway service. Create an API Gateway endpoint by clicking on the actions dropdown and selecting GET method. Then in the setup section, for the integration type select Lambda Function and set our lambda function.

Navigate to method response page

Add header Content-Type and response model image/png.

Navigate to integration response page and edit the header mappings to contain image/png. Then in the content handling drop down, select Convert to binary (if needed).

Navigate to binary support and add image/png

That should be it! Time to deploy the API and try it out.

Navigate to the API endpoint to invoke the lambda function. The function renders the chart and returns it in base64 encoded format. The API gateway then converts that base64 encoding to binary and outputs it to the page.


NPM Dependency:
Github :

If you have any feedback on this tutorial, you are stuck or I'm missing something, send me a tweet and let me know. @notmilobejda.

Happy Hacking