Planview LeanKit enables organizations and teams to visually track and manage the flow of work from strategy to delivery in enterprise Kanban boards. Share a consolidated view of work priority and status – whether in the same room or distributed across the globe.
Emit new event when a card is created in a specific lane.
Emit new event when a card is created on a board.
Emit new event when a card enters a specific lane.
Emit new event when a card is moved on a board.
Emit new event when a card is updated on a board.
Create a new card type on a board. See the docs here
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Create a comment in a card or task. See the docs here
Add tags in a card or task. See the docs here
Assign one or more users to cards. See the docs here
Planview LeanKit API empowers users to automate and integrate their Kanban workflow management. With this API, you can programmatically access boards, cards, and related data to sync with other systems, trigger actions based on board updates, and extract analytics for reporting purposes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
planview_leankit: {
type: "app",
app: "planview_leankit",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.planview_leankit.$auth.domain}.leankit.com/io/scim/v1/Users`,
auth: {
username: `${this.planview_leankit.$auth.username}`,
password: `${this.planview_leankit.$auth.password}`,
},
})
},
})
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:
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}}