Metabase
Fast analytics with the friendly UX and integrated tooling to let your company explore data on their own.
Integrate the Metabase API with the Python API
Setup the Metabase API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Metabase and Python remarkably fast. Free for developers.
Popular Metabase 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 Metabase#
The Metabase API opens a gateway to interact with Metabase programmatically, enabling you to automate reporting, dashboards, and data analysis operations. With Pipedream, you can harness this API to trigger workflows, manipulate data, and integrate with various other apps to create a seamless data ecosystem. Think of syncing Metabase insights with other tools, automating report generation, or reacting to events within your Metabase instance in real-time.
Connect Metabase#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
metabase: {
type: "app",
app: "metabase",
}
},
async run({steps, $}) {
return await axios($, {
url: `${this.metabase.$auth.server_address}/api/user/current`,
headers: {
"X-Metabase-Session": `${this.metabase.$auth.oauth_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#
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}}