Zulip

Chat for distributed teams. Zulip combines the immediacy of real-time chat with an email threading model. With Zulip, you can catch up on important conversations while ignoring irrelevant ones.

Integrate the Zulip API with the Python API

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

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.

 
Try it

Overview of Zulip

Zulip is a powerful chat platform designed for productive and threaded group conversations. With the Zulip API, you can automate and extend the capabilities of your Zulip instance directly within Pipedream. This includes managing streams, users, messages, and events. Automations can help streamline communication, respond to specific triggers, and integrate chat data with other business tools to centralize workflows.

Connect Zulip

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    zulip: {
      type: "app",
      app: "zulip",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.zulip.$auth.domain}.zulipchat.com/api/v1/users/me`,
      auth: {
        username: `${this.zulip.$auth.email}`,
        password: `${this.zulip.$auth.api_key}`,
      },
    })
  },
})

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

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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}}