Specify a condition that your workflow must meet and whether you'd like to proceed or end workflow execution.

Integrate the Filter API with the Python API

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

Continue execution if a condition Is met with the Filter API

Continue workflow execution only if a condition is met

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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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End execution if a condition is met with the Filter API

End workflow execution if a condition is met

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Overview of Filter

The Filter API is a great way to build powerful workflows that can manipulate
and transform data. Here are some examples of what you can build using the
Filter API:

  • A workflow that transforms data from one format to another
  • A workflow that filters out data that does not meet certain criteria
  • A workflow that sorts data in a specific order
  • A workflow that calculates statistics or aggregates data
  • A workflow that combines data from multiple sources

Connect Filter

export default defineComponent({
  async run({ steps, $ }) {
    let condition = false
    if (condition == false) {
      $.flow.exit("Ending workflow early because the condition is false")
    } else {
        $.export("$summary", "Continuing workflow, since condition for ending was not met.")

Overview of Python

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

Connect Python

def handler(pd: "pipedream"):
  # Reference data from previous steps
  # Return data for use in future steps
  return {"foo": {"test":True}}