Graphy

The next-generation platform for data visualization. Fast. Beautiful. Collaborative.

Integrate the Graphy API with the Python API

Setup the Graphy API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Graphy 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.

 
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Overview of Graphy

Graphy is an API designed to help businesses create customizable and collaborative dashboards and reports. Integrating Graphy with Pipedream allows for seamless automation of data visualization workflows, where you can trigger actions based on events, sync data across various apps, or even manage your dashboard's content programmatically. Pipedream's serverless platform provides you with the ability to connect Graphy to hundreds of other apps to enhance your reporting and analytics processes without writing extensive code.

Connect Graphy

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    graphy: {
      type: "app",
      app: "graphy",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.ongraphy.com/public/v1/products`,
      params: {
        mid: `${this.graphy.$auth.MID}`,
        key: `${this.graphy.$auth.api_token}`,
      },
    })
  },
})

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}}