Workstack
Workstack is an online project management system that makes team scheduling easy. Manage your projects, and stay on top of your task scheduling with the powerful Workstack team calendar.
Integrate the Workstack API with the Python API
Setup the Workstack API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Workstack and Python remarkably fast. Free for developers.
Popular Workstack and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Workstack#
Workstack is a task and project management tool that helps teams organize their workloads efficiently. With its API, you can automate project and task creation, update timelines, and sync across multiple tools, ensuring your team stays on top of their deliverables. The Workstack API on Pipedream opens up possibilities to connect with hundreds of other apps, triggering actions in Workstack or vice versa, based on events from other tools, leading to a more integrated workflow and improved productivity.
Connect Workstack#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
workstack: {
type: "app",
app: "workstack",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.workstack.io/api/team`,
headers: {
"Accept": `application/json`,
},
params: {
api_token: `${this.workstack.$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#
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}}