Integrate the TeamGantt API with the Python API

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

Popular Ways to Connect TeamGantt with Python#

Run Python Code with Python API on New Comment Added from TeamGantt API

TeamGantt + Python

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Popular TeamGantt and Python Triggers#

New Comment Added from the TeamGantt API

Emit new event when a new comment is created.

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Popular TeamGantt and Python Actions#

Create Task with the TeamGantt API

Creates a new task within a specific project. See the documentation

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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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Update Task with the TeamGantt API

Updates a specific task. See the documentation

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Overview of TeamGantt#

The TeamGantt API allows you to interact programmatically with your TeamGantt project management data. With it, you can create, read, update, and delete various project elements, such as tasks, milestones, and time entries. Integrating the TeamGantt API with Pipedream enables you to automate your project workflows, sync data across platforms, and react to events in real-time. By leveraging Pipedream's capabilities, you can connect TeamGantt to a myriad of other apps and services to streamline your project management processes.

Connect TeamGantt#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    teamgantt: {
      type: "app",
      app: "teamgantt",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.teamgantt.com/v1/current_user`,
      headers: {
        Authorization: `Bearer ${this.teamgantt.$auth.oauth_access_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#

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}}