ByteNite

Fast, distributed computing for high-throughput applications.

Integrate the ByteNite API with the Python API

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

Create Video Encoding Task with the ByteNite API

Creates a new video encoding task with ByteNite. 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 Job Results with the ByteNite API

Secures the link of the output from a finished encoding job. See the documentation

 
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Start Job with the ByteNite API

Initiates a previously created video encoding job. See the documentation

 
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Connect ByteNite

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bytenite: {
      type: "app",
      app: "bytenite",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.bytenite.com/v1/auth/user`,
      headers: {
        Authorization: `Bearer ${this.bytenite.$auth.oauth_access_token}`,
      },
    })
  },
})

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}}