Integrate the KVdb API with the Python API

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

Popular KVdb and Python Actions#

Get a Key Value with the KVdb API

KVDB is designed for quick and easy integration into projects that need a globally accessible key-value database. To get started, create at API key at https://kvdb.io/

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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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Set a Key Value with the KVdb API

KVDB is designed for quick and easy integration into projects that need a globally accessible key-value database. To get started, create at API key at https://kvdb.io/

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Overview of KVdb#

The KVdb API is a key-value store that facilitates simple data storage and retrieval operations. On Pipedream, you can harness this API to build serverless workflows that require quick data access and state management. Whether you're needing to store user preferences, cache data for repeat use, or coordinate distributed processes, KVdb's straightforward RESTful interface can be integrated into Pipedream's workflows to provide persistent storage solutions.

Connect KVdb#

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

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}}