Tinybird
The Way to build Real-time Data Products
Integrate the Tinybird API with the Python API
Setup the Tinybird API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Tinybird and Python remarkably fast. Free for developers.
Popular Tinybird 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 Tinybird#
Tinybird is a real-time analytics API platform that allows developers to ingest, transform, and consume large amounts of data with low latency. By leveraging SQL and data streaming, Tinybird helps in building data-intensive applications or augmenting existing ones with real-time analytics features. On Pipedream, you can automate data ingestion, transformation, and delivery to unlock insights and drive actions in real time, transforming how you respond to user behavior and operational events.
Connect Tinybird#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
tinybird: {
type: "app",
app: "tinybird",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.tinybird.co/v0/tokens`,
headers: {
Authorization: `Bearer ${this.tinybird.$auth.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}}