Upwave

Upwave is a visual platform for collaborating on projects, portfolios, risk management and daily tasks

Integrate the Upwave API with the Python API

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

The Upwave API provides programmatic access to the Upwave project management platform, enabling users to automate tasks, sync data across various tools, and create custom integrations. On Pipedream, you can leverage this API to build powerful workflows that can add tasks, update boards, and track project progress, all in real time. With Pipedream's serverless architecture, you can set up event-driven workflows that respond to changes in Upwave or integrate with other apps to streamline your project management processes.

Connect Upwave

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