Plecto

#1 Business Performance Platform with real-time data 🚀

Integrate the Plecto API with the Python API

Setup the Plecto API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Plecto and Python remarkably fast. Free for developers.

Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
Try it

Overview of Plecto

The Plecto API allows you to automate the process of data visualization and performance tracking. With Pipedream, you can harness this API to create real-time dashboards, generate reports, and update KPIs automatically. Pipedream's serverless platform makes it simple to connect Plecto with other services, trigger events, process data, and more. Whether you're syncing sales data, updating leaderboards, or notifying teams of their performance, Pipedream offers a robust and flexible way to streamline these workflows.

Connect Plecto

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    plecto: {
      type: "app",
      app: "plecto",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.plecto.com/api/v2/members`,
      auth: {
        username: `${this.plecto.$auth.username}`,
        password: `${this.plecto.$auth.password}`,
      },
    })
  },
})

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

1
2
3
4
5
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}}