Integrate the Codacy API with the Python API

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

Start for free — no credit card required

Watch a demo

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

Popular Codacy and Python Actions#

Delete Integration with the Codacy API

Delete integration for the authenticated user. See the documentation

Try it

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

Get Authenticated User with the Codacy API

Get the authenticated user on Codacy. See the documentation

Try it

List Integrations with the Codacy API

List integrations on Codacy. See the documentation

Try it

List Organizations with the Codacy API

List organizations for the authenticated user. See the documentation

Try it

Overview of Codacy#

The Codacy API lends itself to automated code review and analysis within Pipedream's serverless platform. By wielding this API, you can craft workflows that trigger on code pushes, scrutinize code quality, enforce coding standards, and seamlessly integrate with other tools for broader development process automation. It's a gateway to embed code quality checks into your CI/CD pipeline, get real-time alerts, and keep your codebase healthy, all within the Pipedream ecosystem.

Connect Codacy#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    codacy: {
      type: "app",
      app: "codacy",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.codacy.com/api/v3/user`,
      headers: {
        "Accept": `application/json`,
        "api-token": `${this.codacy.$auth.api_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}}

Start for free — no credit card required

Watch a demo