Integrate the Orbit API with the Python API

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

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Popular Orbit and Python Actions#

Create Activity with the Orbit API

Create a new activity. See the docs here

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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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Create Member with the Orbit API

Create a new member. See the docs here

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Create Member Note with the Orbit API

Create a new member note. See the docs here

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Get Member by Identity with the Orbit API

Provide a source and one of username/uid/email params to return a member with that identity, if one exists. Common values for source include github, twitter, and email. See the docs here

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Overview of Orbit#

The Orbit API enables you to monitor and manage the uptime and performance of your websites and internet services. Through automation and integration on Pipedream, you can streamline incident management, aggregate performance data, and enhance communication across your tech stack. By leveraging real-time data from Orbit, you can trigger workflows based on site status changes, get aggregated insights, and automate responses to performance issues.

Connect Orbit#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    orbit: {
      type: "app",
      app: "orbit",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.orbit.love/api/v1/workspaces`,
      headers: {
        Authorization: `Bearer ${this.orbit.$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#

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}}

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