UpKeep
The #1 Software for Maintenance and Facility Management Teams. UpKeep is the top-rated software designed to revolutionize maintenance and asset management. We provide mobile-first SaaS solutions, Industrial IoT sensors, powerful data analytics, advanced enterprise integrations, and top-notch professional services.
Integrate the UpKeep API with the Python API
Setup the UpKeep API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate UpKeep and Python remarkably fast. Free for developers.
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Popular Ways to Connect UpKeep with Python#
Popular UpKeep and Python Triggers#
Popular UpKeep and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Finds assets according to props configured, if no prop configured returns all assets, See the docs
Overview of UpKeep#
The UpKeep API enables users to seamlessly integrate maintenance management tasks with Pipedream's serverless execution platform. By leveraging UpKeep's endpoints, you can automate workflows related to asset tracking, work order management, and preventive maintenance scheduling. The API's capabilities allow for real-time updates on equipment status, automated notifications for maintenance tasks, and data synchronization across maintenance teams and tools.
Connect UpKeep#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
upkeep: {
type: "app",
app: "upkeep",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.onupkeep.com/api/v2/users/`,
headers: {
"Session-Token": `${this.upkeep.$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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies