Skip to main content

Python Node


The Python node allows you to run custom server-side Python within your workflow. It can be used to:

  • Transform Data
  • Run Complex Calculations
  • Fine Tune Response
  • Implement Business Logic

This node executes securely inside a sandboxed environment on the server, so it can handle data manipulation at scale, prepare or enrich data for downstream nodes, or create custom responses for external services.

Note: To pass results to subsequent nodes, you can either set a result variable or end your code with an expression — the evaluated value of the last expression is automatically returned.

Accessing Workflow State​

All previous node outputs, parameters, and workflow variables are injected into the Python execution context as global variables. You can reference them directly in your code.

# Access results from a previous node named 'getSalesData'
sales = getSalesData['data']

# Access workflow parameters
user_id = params['userId']

Example: Fine-Tuning Your Response Using Python​

Refine your response by manipulating data using Python. For example, you can use list slicing to select a subset of data:

result = {
    "sales": getSalesData["data"][:5],
    "inventory": getInventory["data"][:5],
    "csv": generateCSVData["data"]
}

Example: Using External Packages​

You can install external Python packages for your workflow through the package manager. Packages are defined in requirements.txt format and installed once per workflow version.

import pydash

result = pydash.map_([1, 2, 3], lambda x: x * 2)
# Returns: [2, 4, 6]
info

Only packages with prebuilt wheels (pure Python or manylinux) are supported. Packages that require C compilation during installation are not available.

Limitations​

  • Timeout: Each Python node execution has a 10-second time limit.
  • Memory: Execution is limited to 512 MB of virtual memory.
  • No network access: The sandbox does not allow outbound network calls. Use datasource nodes to fetch external data before passing it to a Python node.
  • Return values must be JSON-serializable: Strings, numbers, lists, dicts, None, and booleans are supported.