ScopeMaster

Using AI to improve software requirements and user stories.

Integrate the ScopeMaster API with the Python API

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

 
Try it

Overview of ScopeMaster

The ScopeMaster API offers a sophisticated platform for automating and enhancing software requirements analysis. It enables the analysis of user stories for quality and size, helping teams get a clear understanding of the scope of their projects. With ScopeMaster, you can streamline requirement gathering, identify potential issues early on, and improve estimation accuracy. Harness this API within Pipedream to create powerful integrations that optimize software development workflows.

Connect ScopeMaster

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    scopemaster: {
      type: "app",
      app: "scopemaster",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.scopemaster.com/v1/version`,
      auth: {
        username: `${this.scopemaster.$auth.email}`,
        password: `${this.scopemaster.$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}}