ERPNext
Free and open-source integrated Enterprise Resource Planning software
Integrate the ERPNext API with the Python API
Setup the ERPNext API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate ERPNext and Python remarkably fast. Free for developers.
Popular ERPNext 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 ERPNext#
ERPNext is an open-source enterprise resource planning (ERP) software that integrates core business functions like accounting, inventory, sales, purchase, and HR management into a single system. With the ERPNext API, you can automate these functions by triggering actions in ERPNext or syncing data with other systems. Pipedream can be a powerful partner here, as it allows you to set up complex integrations and workflows without the need for a dedicated backend. By using Pipedream, you can connect ERPNext with numerous other apps to streamline processes, react to events in real-time, and automate data transfers.
Connect ERPNext#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
erpnext: {
type: "app",
app: "erpnext",
}
},
async run({steps, $}) {
return await axios($, {
url: `${this.erpnext.$auth.base_url}/api/method/frappe.auth.get_logged_user`,
auth: {
username: `${this.erpnext.$auth.api_key}`,
password: `${this.erpnext.$auth.api_secret}`,
},
})
},
})
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}}