Vybit

Sends notifications with personalized sounds to your under-utilized ears so that your over-worked eyes can get a break!

Integrate the Vybit API with the Python API

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

Send Vybit with the Vybit API

Triggers a vybit, with optional customizations available. See the documentation

 
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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 Vybit

The Vybit API allows you to create and manage notifications with custom sounds. Using this API on Pipedream opens up possibilities for integrating audio notifications into a variety of workflows. You can dynamically generate alerts based on triggers from numerous apps, streamlining the way users receive and acknowledge important information.

Connect Vybit

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    vybit: {
      type: "app",
      app: "vybit",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.vybit.net/rest/vybits`,
      headers: {
        "Content-Type": `application/json`,
        "Accept": `application/json`,
        "Accept-Charset": `utf-8`,
        "Authorization": `${this.vybit.$auth.oauth_access_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}}