Analytics Dashboards as Code

Shaper has always been about building dashboards using SQL.

And it’s just natural to manage SQL as files just like any other code.

With the latest release of Shaper you can now deploy dashboards from files,
and live-preview dashboard changes.

You get to:

• use your favorite editor - including its AI features
• track dashboards in Git
• collaborate with your team using pull requests
• deploy dashboards via CI/CD

The workflow in action:

Play

Getting started and sharing Shaper projects is now simpler than ever since everything is just files. Let’s give it a try:

1. Clone this demo Git repository:

   git@github.com:taleshape-com/demo-project.git

2. Install Shaper in the project directory:
3. Start a local Shaper server to serve the dashboards:
4. Deploy the two dashboards in the dashboards/ folder by running the deploy command in a second terminal:
5. Live-preview changes by running the dev file watcher in the second terminal:
   Now edit or create any SQL file in the dashboards/ folder and see the changes live in your browser.

Usually you will run Shaper on a server. Then you only need shaper dev locally when developing dashboards. Once you configured authentication for your Shaper instance, the dev command will automatically prompt you to login and authenticate. And instead of running deploy manually, you can use the Shaper Github Action to deploy dashboards automatically in your CI/CD pipeline.

All details are in the documentation.

And as always - we are happy to hear about any feedback via socials or Github issues or discussions!