Keen
The Fully Managed Event Streaming Platform
Integrate the Keen API with the Python API
Setup the Keen API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Keen and Python remarkably fast. Free for developers.
Popular Keen 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#
Keen API empowers developers to capture, analyze, and embed event data into their applications, creating opportunities for deep analytics and custom visualization capabilities. With Keen, you can stream, store, and query large volumes of events, enabling real-time insights into user behavior, system performance, or any other metric that can be captured via events. On Pipedream, integrating Keen allows you to automate workflows by capturing these events and triggering actions in other apps, based on the data you gather.
Connect Keen#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
keen: {
type: "app",
app: "keen",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.keen.io/3.0/projects/${this.keen.$auth.projectId}/events`,
params: {
api_key: `${this.keen.$auth.apiKey}`,
},
})
},
})
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}}