Integrate the Easy Projects API with the Python API

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

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Popular Easy Projects and Python Actions#

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.

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Overview of Easy Projects#

The Easy Projects API allows you to interact with your project management data programmatically. With this API, you can automate tasks, sync data across different platforms, extract reports, and streamline communication between team members. By integrating the Easy Projects API on Pipedream, you can create powerful workflows that trigger actions within Easy Projects or in other apps, based on events that occur within your project management space.

Connect Easy Projects#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    easy_projects: {
      type: "app",
      app: "easy_projects",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.easy_projects.$auth.domain}.go.easyprojects.net/api/v1/users/current`,
      auth: {
        username: `${this.easy_projects.$auth.email}`,
        password: `${this.easy_projects.$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#

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}}

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