Kanbanize

Kanbanize is designed to help advanced product teams apply the principles of Lean and Kanban to their work to maximize results.

Integrate the Kanbanize API with the Python API

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

Create New Task with the Kanbanize API

Create New Task. See the docs here

 
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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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Edit Task with the Kanbanize API
 
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List Tasks with the Kanbanize API

Get All Tasks. See the docs here

 
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Overview of Kanbanize

Kanbanize is a tool that helps you visualized and manage your work. With
Kanbanize, you can build a variety of things, including:

  • A board to help you manage your work
  • A workspace to help you collaborate with others
  • A system to help you track your work
  • A tool to help you prioritize your work

Connect Kanbanize

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    kanbanize: {
      type: "app",
      app: "kanbanize",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.kanbanize.$auth.subdomain}.kanbanize.com/api/v2/users`,
      headers: {
        "apikey": `${this.kanbanize.$auth.api_key}`,
      },
    })
  },
})

Overview of Python

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

Connect Python

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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}}