RudderStack Transformation

All your customer data pipelines in one platform. Use the Rudderstack Transformation API to manage your RudderStack Transformations and Libraries.

Integrate the RudderStack Transformation API with the Python API

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

The RudderStack Transformation API enables you to process and transform data before it's delivered to your data warehouse or other analytics tools. Within Pipedream, you can harness this API to customize the shape and structure of your data, apply business logic, filter out unnecessary information, or enrich data with additional attributes before forwarding it.

Connect RudderStack Transformation

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    rudderstack_transformation: {
      type: "app",
      app: "rudderstack_transformation",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.rudderstack.com/transformations`,
      auth: {
        username: `${this.rudderstack_transformation.$auth.email_address}`,
        password: `${this.rudderstack_transformation.$auth.personal_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

1
2
3
4
5
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}}