Adafruit IO
Adafruit IO is a platform designed to display, respond, and interact with your project's Internet-of-Things (IoT) data.
Integrate the Adafruit IO API with the Python API
Setup the Adafruit IO API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Adafruit IO and Python remarkably fast. Free for developers.
Popular Adafruit 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 Adafruit IO#
Adafruit IO is an API designed for building Internet of Things (IoT) applications. It offers a means to store, share, and manage data from your IoT devices. With Adafruit IO, you can create dashboards to display real-time data, trigger events based on data, and even control outputs. It's a versatile platform that's especially friendly for those getting started with IoT.
Connect Adafruit IO#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
adafruit_io: {
type: "app",
app: "adafruit_io",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://io.adafruit.com/api/v2/user`,
headers: {
"X-AIO-Key": `${this.adafruit_io.$auth.active_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}}