Integrate the Rise API with the Python API

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

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Popular Rise and Python Actions#

Create Invitation with the Rise API

Creates a invitation. See 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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Find Invitations with the Rise API

Find a list of invitations. See docs here

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Find Users with the Rise API

Find a list of users. See docs here

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Overview of Rise#

The Rise API empowers users to automate and integrate their learning management system workflows with ease. With this API, you can manipulate course data, track user progress, and manage enrollments without manual intervention. Imagine the possibilities when you connect Rise to your HR system, Customer Support platform, or Content Management System. Streamline onboarding, keep tabs on employee training, and ensure compliance requirements are met seamlessly.

Connect Rise#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    rise: {
      type: "app",
      app: "rise",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.rise.com/users`,
      headers: {
        Authorization: `Bearer ${this.rise.$auth.api_key}`,
      },
    })
  },
})

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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