Geckoboard

Communicate, don't complicate. We help teams & businesses share data, metrics and KPIs in a way anyone can understand.

Integrate the Geckoboard API with the Python API

Setup the Geckoboard API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Geckoboard and Python remarkably fast. Free for developers.

Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
Try it

Overview of Geckoboard

The Geckoboard API grants you the power to craft custom dashboards that display key metrics and performance indicators for your business. With this API, you can push data to widgets, create and manage dashboards, and automate the sharing of insightful data visualizations. When leveraged through Pipedream, you can build workflows that connect Geckoboard with various other apps, enabling real-time data updates, integrating with your current tools, and powering automated reporting processes.

Connect Geckoboard

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    geckoboard: {
      type: "app",
      app: "geckoboard",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.geckoboard.com/datasets`,
      auth: {
        username: `${this.geckoboard.$auth.api_key}`,
        password: ``,
      },
    })
  },
})

Overview of Python

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python

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def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}