Integrate the Clearly Defined API with the Python API

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

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Popular Clearly Defined and Python Actions#

Create Definition with the Clearly Defined API

Request the creation of a resource. 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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Get Definitions with the Clearly Defined API

Gets the coordinates for all definitions that match the given pattern in the specified part of the definition. See the documentation

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Get Harvests with the Clearly Defined API

Get all the harvested data for a component revision. See the documentation

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Overview of Clearly Defined#

The Clearly Defined API offers a way to interact with the Clearly Defined service, which curates and shares data about the clarity of licenses and security of open source components. You can retrieve detailed information about software components' licenses, scores for clarity, and metadata. On Pipedream, you can harness this API to automate checking the compliance and security of software dependencies, notify pertinent stakeholders about the status of components, and integrate with other tools for a seamless open source governance process.

Connect Clearly Defined#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    clearly_defined: {
      type: "app",
      app: "clearly_defined",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.clearly_defined.$auth.environment}.clearlydefined.io/definitions`,
    })
  },
})

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}}

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