ncScale

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Integrate the ncScale API with the Python API

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

Push Log with the ncScale API

Pushes a new log entry to the ncscale app. 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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Overview of ncScale

The ncScale API offers scalable solutions for handling complex data transformations, computations, and integrations. By leveraging this API on Pipedream, you can automate and streamline processes like real-time data analysis, dynamic resource allocation, and system monitoring. Pipedream's serverless platform allows you to trigger workflows with HTTP requests, emails, and over 800+ integrations, making it highly versatile for incorporating ncScale's capabilities into a variety of systems.

Connect ncScale

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ncscale: {
      type: "app",
      app: "ncscale",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.ncscale.$auth.subdomain}.ncscale.io/v1/tools`,
      headers: {
        Authorization: `Bearer ${this.ncscale.$auth.api_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

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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}}