SimpleKPI

Beautifully #simple #KPI software. Create, manage and analyse your Key Performance Indicators from the cloud.

Integrate the SimpleKPI API with the Python API

Setup the SimpleKPI API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate SimpleKPI 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 SimpleKPI

The SimpleKPI API enables users to programmatically manage and access their key performance indicators (KPIs), providing an interface for operations like retrieving KPI data, updating KPI values, and managing users and reports. Leveraging the SimpleKPI API within Pipedream, you can create powerful, serverless workflows that automate the tracking and reporting of performance metrics, integrate with other apps to enrich your KPI data, or trigger actions based on performance thresholds.

Connect SimpleKPI

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    simplekpi: {
      type: "app",
      app: "simplekpi",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.simplekpi.$auth.subdomain}.simplekpi.com/api/users`,
      headers: {
        "Content-Type": `application/json`,
      },
      auth: {
        username: `${this.simplekpi.$auth.email}`,
        password: `${this.simplekpi.$auth.api_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

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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}}