Keen.io
The Complete Event Data Management Solution đź“Š Keen is the all in one solution for event data management, from collection to application.
Integrate the Keen.io API with the Python API
Setup the Keen.io API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Keen.io and Python remarkably fast. Free for developers.
Popular Keen.io 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 Keen.io#
The Keen.io API provides robust analytics and data collection capabilities. On Pipedream, you can harness this power to create custom event tracking and analysis workflows, automate reporting, and drive data-informed decisions. With Keen.io's ability to capture, analyze, and embed event data, you can set up workflows on Pipedream that react to data streams in real-time, aggregate metrics, or trigger actions in other apps based on insights.
Connect Keen.io#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
keen_io: {
type: "app",
app: "keen_io",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.keen.io/3.0/projects/${this.keen_io.$auth.project_id}/events`,
params: {
api_key: `${this.keen_io.$auth.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}}