Integrate the Diabatix ColdStream API with the Python API

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

Popular Ways to Connect Diabatix ColdStream with Python#

Run Python Code with Python API on New Project Upgraded from Diabatix ColdStream API

Diabatix ColdStream + Python

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Run Python Code with Python API on New Simulation Completed from Diabatix ColdStream API

Diabatix ColdStream + Python

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Popular Diabatix ColdStream and Python Triggers#

New Project Upgraded from the Diabatix ColdStream API

Emit new event when a specific project has been upgraded or edited in ColdStream.

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New Simulation Completed from the Diabatix ColdStream API

Emit new event when a simulation has been successfully completed.

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Popular Diabatix ColdStream and Python Actions#

Fetch Simulation Results with the Diabatix ColdStream API

Retrieves the result of a specific simulation from ColdStream. 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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Run Simulation with the Diabatix ColdStream API

Starts a new simulation in ColdStream with specified parameters and submits the created case. See the documentation

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Update Project in ColdStream with the Diabatix ColdStream API

Updates an existing project with new parameters or data in ColdStream. See the documentation

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Overview of Diabatix ColdStream#

The Diabatix ColdStream API provides automated thermal analysis capabilities, allowing users to streamline the cooling design process for various components and devices. With this API, you can automate the design of thermal systems, optimize existing cooling solutions, and simulate different scenarios to find the most effective thermal management strategy. In Pipedream, you can leverage this API to build automated workflows that integrate thermal analysis into your engineering cycles, ensuring your designs meet the necessary thermal specifications before physical prototypes are ever built.

Connect Diabatix ColdStream#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    diabatix_coldstream: {
      type: "app",
      app: "diabatix_coldstream",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://identity.coldstream.diabatix.com/users/me`,
      headers: {
        Authorization: `Bearer ${this.diabatix_coldstream.$auth.access_token}`,
        "accept": `application/json`,
      },
    })
  },
})

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}}