Skip to main content

Automate chart creation with Chart Maker (no code)

QuickChart is a no-code solution to automatic chart generation. Create a chart template using the chart maker interface. Then use the template endpoint to customize and generate charts automatically.

In this guide, you will learn how to:

  1. Create and customize a chart template without any code.
  2. Save the chart as a URL (API endpoint) that you can use in emails, Excel, Salesforce, and any other formats.
  3. Set the chart's data by providing special parameters in the URL.

Create a chart template

To create charts online, first go to the chart maker. Use the interface to build a chart template. This chart will be the basis of the charts you generate automatically in the future.

Add data

To get started, add some dummy or example data. The chart preview will update so you can get an idea of how your visualization will work.

Enter data as comma-separated values (e.g. 10,20,30,40). Each data value maps to a label (e.g. Jan, Feb, Mar, Apr). Edit "Labels" at the top of the Data settings to change this mapping.

Edit labels and data on the left-hand side of the chart maker
Edit labels and data on the left-hand side of the chart maker

Using coordinates

For more advanced use cases, you may provide your data as (x, y) coordinates.

An example of category-based coordinates: (Jan, 10), (Feb, 20), (Mar, 30), (Apr, 40). These coordinates will give you more power over how your line or scatter plot is displayed.

Numeric coordinates are also accepted: (1, 50), (10, 40), (12, 20), (8, 10). This format is most commonly used for scatter plots, and requires you to change your Axes to linear or logarithmic under settings. In this case, you should clear the "Labels" setting at the top of the Data settings - labels will be automatically generated.

Time series use coordinates too. For example: (2020-01-01, 50), (2020-03-15, 12), (2020-06-05, 40). To display time series, change the X-axis to time type and clear the "Labels" setting in Data settings, as labels will be generated automatically.

Customize look & feel

Now that your data is set, time to make the chart look however you want.

Close the data menu to customize your chart's axes, ticks, legend, and its overall layout.

Customize the chart by expanding different sections
Customize the chart by expanding different sections

Looking for inspiration? Head over to the chart gallery - most examples are editable in the chart maker.

Dynamic datasources

The Chart Maker includes built-in support for pulling data from external datasources. If you choose to configure one of these datasources, the chart will update automatically when the datasource is updated.

How to configure Google Sheets
  1. Create a Google Sheet and copy your data into it. Here's an example sheet.

  2. Configure the sharing setting so that outsiders can have access to it. This will allow the Chart Maker to access your data. To do this, click the green "Share" button and change the setting to "Anyone with the link":

Google sharing settings
How to configure Google Sheets sharing settings (click for larger)
  1. In the Chart Maker, open Integrations > Google Sheets plugin settings. Paste your sheet URL and enter the names of the columns.
Google Sheets configuration
  1. If you've filled everything out correctly, your data will appear!
Google Sheets chart and configuration
How to configure Airtable

1. Create a base and put your data in it. Create a table or view with 1 column containing labels and 1+ data columns. Here's an example table.

Example Airtable setup with multiple columns

2. Generate an API key. Go to and grab your Airtable API key (or generate a new one).

Create an Airtable API key
Quick note on security

Your Airtable API key is protected and not revealed to anyone who views or edits your chart.

When you provide your Airtable API key, we generate a "masked" secret that allows access only to the specific table you provided to the Chart Maker. This lets chart viewers pull data from your table without revealing your account API key. The chart does, in theory, have access to the table, so you should make sure there is no other sensitive information in the table.

  1. Configure the Chart Maker. Switching back to the Chart Maker, open the Integrations > Airtable plugin settings. Paste your API key and the URL to your Airtable base.
Airtable configuration
  1. If you've filled everything out correctly, your data will appear!
Airtable chart and configuration

Save the template

Click Save as API Template in the top right.

You'll be presented with an API endpoint. This is the base URL of your chart. If you go to it, you will see a chart image. The URL can be further customized to override properties of your chart.

Saving as an API template gives you an endpoint you can use to generate unlimited charts.
Saving as an API template gives you an endpoint you can use to generate unlimited charts.

Use the no-code chart API

In the following examples, we use custom values to override three chart properties:

  1. Chart title
  2. Dataset labels
  3. Data

These customizations are passed as URL parameters. For example, to override chart title, take the base URL and add the following: title

You can join URL parameters together using the & symbol. For example: title&labels=Q1,Q2,Q3,Q4

To override data, use data1, data2, data3, ..., for each dataset on the chart.

For example, to override the first (primary) dataset:,60,80,100

To override multiple datasets and the chart title:,60,80,100&data2=5,6,7,8&title=Updated chart

Real example

We have the following chart endpoint:

It looks like this:

An example chart

Let's override this chart's title: chart
An example chart with updated title

And now let's add some more data and labels to the chart. This will override the data but keep the same style of chart that I created in the chart maker: chart&data1=50,60,80&labels=Jan,Feb,Mar
An example chart with updated data and labels

Customizable properties

The following chart-level properties can be overridden:

Property NameDescriptionExample
titleChart titletitle=My chart title
labelsDataset labelslabels=Series 1,Series 2,Series 3
widthChart widthwidth=500
heightChart heightheight=300
backgroundColorChart backgroundbackgroundColor=rgba(122, 90, 122, 0.5)

The following series-level properties can be overridden. Replace N with the series number that you want to override:

Property NameDescriptionExample
dataNSeries valuesdata1=1,2,3,4,5&data2=6,7,8,9,10
backgroundColorNBackground color of seriesbackgroundColor1=red&backgroundColor2=blue
borderColorNBorder color of seriesborderColor1=red&borderColor2=blue
labelNLabel of series¹label1=Foo&label2=bar

¹ These labels are applicable only to certain kinds of charts, such as radar charts. In most cases you should override the labels chart parameter.


When overriding properties, you must URL-encode special characters. Your browser will do this for you automatically, but if you're using a no-code tool you may have to URL-encode property values.

For example, the special character # is URL-encoded as %23. This means hex code #fa1f5b should be passed as %23fa1f5b.

Embedding an interactive chart

To display the chart with interactive tooltips in an iframe, take the unique portion of the shortened URL and append it to the /chart-maker/view/ endpoint.

For example, given the API endpoint:

Here is the corresponding iframe URL:

You can embed it like a regular iframe. Be sure to set a frame width and height that is compatible with your chart. Here's an HTML example:

title="Iframe Example"

Advanced API features

If you are willing to dive into the JSON/Javascript configuration, get even more control over the appearance and behavior of your chart. See main API documentation for details.

Need help?

The first step is to ask in our community, which we monitor every day. Feel free to contact me or contact support if you get stuck or have questions. We'll get back to you quickly!

Ian Webster

About the author

Ian Webster is a software engineer and former Googler based in San Mateo, California. He has helped Google, NASA, and governments around the world improve their data pipelines and visualizations. In 2018, Ian created QuickChart, a collection of open-source APIs that support data visualization efforts.

Email · LinkedIn · Twitter