Datarobot
Enterprise AI
Integrate the Datarobot API with the Python API
Setup the Datarobot API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Datarobot and Python remarkably fast. Free for developers.
Popular Datarobot and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Datarobot#
DataRobot offers an AI platform that empowers users to build and deploy predictive models. Through its API, you can manage datasets, kick off model training, retrieve predictive scores, and integrate machine learning insights into your business processes. With Pipedream, you can create serverless workflows that leverage DataRobot's capabilities, enabling a powerful synergy between machine learning and everyday business automation.
Connect Datarobot#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
datarobot: {
type: "app",
app: "datarobot",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.datarobot.com/api/v2/projects/`,
headers: {
Authorization: `Bearer ${this.datarobot.$auth.api_key}`,
},
})
},
})
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}}