Maps for everyone and everything
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Cartes API allows users to create, update, and share maps with custom markers, making it useful for location-based data visualization. With Pipedream, you can automate interactions with the Cartes API to integrate real-time mapping capabilities into your workflows. For instance, you could track assets, manage event locations, or update a map with user-generated content from various sources. Pipedream's power lies in its ability to connect the Cartes API with hundreds of other apps to create dynamic, automated workflows.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
cartes: {
type: "app",
app: "cartes",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://cartes.io/api/maps`,
})
},
})
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:
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}}