Integrate the Diffchecker API with the Python API

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

Popular Diffchecker and Python Actions#

Compare Image with the Diffchecker API

Compares two images and returns the result.

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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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Compare PDFs with the Diffchecker API

Compares two PDFs and returns the result. See the documentation

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Compare Text with the Diffchecker API

Compares two pieces of text and returns the result. See the documentation

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Overview of Diffchecker#

The Diffchecker API allows you to compare differences between texts, images, PDFs, and other files programmatically, providing an automated way to spot changes or inconsistencies. Leveraging this API within Pipedream workflows can automate diff tasks, alerting you to changes, syncing content across platforms, or maintaining consistency in code or document versions. Pipedream's ability to connect to various services and trigger workflows based on numerous events makes it an excellent tool for integrating Diffchecker in a variety of scenarios.

Connect Diffchecker#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    diffchecker: {
      type: "app",
      app: "diffchecker",
    }
  },
  async run({steps, $}) {
    const data = {
      "left": `roses are red violets are blue`,
      "right": `roses are green violets are purple`,
      "diff_level": `word`,
    }
    return await axios($, {
      method: "post",
      url: `https://${this.diffchecker.$auth.environment}.diffchecker.com/public/text`,
      headers: {
        "Content-Type": `application/json`,
      },
      params: {
        output_type: `json`,
        email: `${this.diffchecker.$auth.email}`,
      },
      data,
    })
  },
})

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}}