Helper Functions
Helper functions and functional utilities to use within your Pipedream workflows
Integrate the Helper Functions API with the Python API
Setup the Helper Functions API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Helper Functions and Python remarkably fast. Free for developers.
Popular Helper Functions and Python Actions#
Accepts a base64-encoded string, returns a decoded UTF-8 string
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Get the difference, intersection, union, or symetric difference of two arrays/sets.
Converts an HTML string to the Slack mrkdwn format using
Overview of Helper Functions#
Pipedream provides a set of helper functions that make it easy to manipulate
and work with data in your workflow. You can use these helper functions to:
- Perform mathematical operations on data
- Format data
- Extract data from arrays and objects
- Convert data from one format to another
- Manipulate dates and times
- Generate random data
Here are some examples of what you can build using the Helper Functions API:
- A calculator that performs mathematical operations on data
- A formatter that formats data
- An extractor that extracts data from arrays and objects
- A converter that converts data from one format to another
- A date and time manipulator
- A random data generator
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
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}