QuickChart is a service that generates images of charts from a URL. Because these charts are simple images, they are very easy to embed in non-dynamic environments such as email, SMS, chat rooms, and so on.
The chart image generation service is available online at QuickChart.io. There is an interactive editor that allows you to adjust inputs and build images.
Here's an example chart that is defined completely by its URL:
The above image can be included anywhere you like. Here is its URL:
As you can see, the Javascript or JSON object contained in the URL defines the chart:
{
type: 'bar',
data: {
labels: ['January', 'February', 'March', 'April', 'May'],
datasets: [{
label: 'Dogs',
data: [ 50, 60, 70, 180, 190 ]
}, {
label: 'Cats',
data: [ 100, 200, 300, 400, 500 ]
}]
}
}
The chart configuration object is based on the popular Chart.js API. Check out the Chart.js documentation for more information on how to customize your chart, or see QuickChart.io for more examples.
QuickChart includes several Chart.js plugins that allow you to add chart annotations, data labels, and more. See full QuickChart documentation for examples.
The service also produces QR codes. For example, https://quickchart.io/qr?text=Hello+world produces:
The /qr endpoint has the following query parameters:
text- QR code data (required)format- png or svg (png default)size- size in pixels of one side of the square image (defaults to 150)margin- size of the QR image margin in modules (defaults to 4)ecLevel- Error correction level (defaults to M)dark- Hex color code for dark portion of QR code (defaults to000000)light- Hex color code for light portion of QR code (defauls toffffff)
Chart generation requires several system dependencies: Cairo, Pango, libjpeg, and libgif. Run ./scripts/setup.sh for a fresh install on Linux machines (note that this also installs yarn, node, and monit).
To install system dependencies on Mac OSX, you probably just need to brew install cairo pango libffi. You may have to export PKG_CONFIG_PATH="/usr/local/opt/libffi/lib/pkgconfig" before installing node packages.
Once you have system dependencies installed, run yarn install or npm install to install the node dependencies.
node index.js will start the server on port 3400. Set your PORT environmental variable to change this port.
A docker image is available on dockerhub at ianw/quickchart.
Dockerfile sets up a server that provides chart and qr code web endpoints. It is not parameterized and provides exactly the same web service as https://quickchart.io/.
The Docker image for this project is built with the following command:
docker build -t ianw/quickchart .
The server runs on port 3400 within the container. This command will expose the server on port 8080 on your host (hostport:containerport):
docker run -p 8080:3400 ianw/quickchart
The production service on QuickChart.io runs behind an NGINX reverse proxy via the config available in nginx/. You should modify this for your own purposes or use a docker image such as nginx-proxy. Of course, you can always serve traffic directly from Node, but it is generally best practice to put something in front of it.
By following the Docker instructions above, you can deploy the service to any platform that supports running containers.
Clicking the following will execute the Docker build on a remote machine and deploy the service to Google Cloud Run an automatically scaled and pay-per-request environment:
QuickChart has two API endpoints to determine the health of the service.
/healthcheck is a basic endpoint that returns a 200 status code and a JSON object that looks like this: {"success":true,"version":"1.1.0"}.
A second endpoint, /healthcheck/chart returns a 302 status code and redirects to a chart with random attributes. Although it is a more expensive endpoint, it can be useful for cache busting or testing chart rendering.
The hosted QuickChart service uses monit to make sure the service is online and restart it if not. An example monit config is in test/monit.
QuickChart is open source, licensed under version 3 of the GNU GPL. If you would like to modify this project for commercial purposes (and not release the source code), please contact me.