VivifyScrum

Multiplatform Project Management tool for Agile teams. Organize everything you need to manage, track and deliver your projects - Scrum or Kanban

Integrate the VivifyScrum API with the Python API

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

The VivifyScrum API unleashes the potential to automate your agile project management by interfacing with your scrum boards, backlogs, and work items. Through Pipedream's serverless platform, you can create workflows that respond to events within VivifyScrum, such as new tasks or status updates. This allows for synchronization of project data across various platforms, reporting, and triggering actions in other tools, thereby enhancing productivity and providing real-time insights.

Connect VivifyScrum

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

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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}}