Integrate the Diffy API with the Python API

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

Popular Ways to Connect Diffy with Python#

Run Python Code with Python API on New Diff Created from Diffy API

Diffy + Python

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Run Python Code with Python API on New Screenshot Created from Diffy API

Diffy + Python

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Popular Diffy and Python Triggers#

New Diff Created from the Diffy API

Emit new event when a new diff is created in Diffy. See the documentation

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New Screenshot Created from the Diffy API

Emit new event when a new screenshot is created in Diffy. See the documentation

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Popular Diffy and Python Actions#

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 Diffy#

The Diffy API offers visual regression testing, allowing you to compare visuals of web pages over time or across different environments. With Pipedream's serverless architecture, you can integrate Diffy into various workflows to automate visual testing, get notified of changes, or even trigger deployments in a CI/CD pipeline when a visual test passes.

Connect Diffy#

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

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}}