The Habitify API lets you interact with your habits and data within the Habitify platform programmatically. By leveraging this API in Pipedream, you can automate custom workflows that help track habits, measure progress, and push notifications, among others. Pipedream's serverless platform makes it easy to connect Habitify with hundreds of other apps to automate complex tasks without writing extensive code.

Connect Habitify#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    habitify: {
      type: "app",
      app: "habitify",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.habitify.me/habits`,
      headers: {
        "Authorization": `${this.habitify.$auth.api_key}`,
      },
    })
  },
})

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}}