Azure DevOps

Plan smarter, collaborate better, and ship faster with a set of modern dev services

Integrate the Azure DevOps API with the Python API

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

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Run Python Code with Python API on New Event (Instant) from Azure DevOps API
Azure DevOps + Python
 
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New Event (Instant) from the Azure DevOps API

Emit new event for the specified event type.

 
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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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Overview of Azure DevOps

The Azure DevOps API opens up a world of possibilities for automating and enhancing your software development workflows. Through Pipedream, you can leverage this API to create custom integrations and serverless workflows that interact with your Azure DevOps projects. Automate tasks such as triggering builds, managing work items, updating repositories, and orchestrating multi-step processes that connect Azure DevOps with other services.

Connect Azure DevOps

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    azure_devops: {
      type: "app",
      app: "azure_devops",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.vssps.visualstudio.com/_apis/profile/profiles/Me`,
      headers: {
        Authorization: `Bearer ${this.azure_devops.$auth.oauth_access_token}`,
      },
      params: {
        "api-version": `5.0`,
      },
    })
  },
})

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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo