Function

Run Python compute workloads anywhere, with only a predict function.

Integrate the Function API with the Go API

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

Run Go Code with the Go API

Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.

 
Try it

Overview of Function

The Function API allows you to run code snippets in various programming languages directly through API calls. This capability can extend Pipedream workflows by enabling custom logic processing, data transformation, or any operation that requires server-side code execution without deploying or managing servers. By using the Function API, you can incorporate code that's beyond the native actions available within Pipedream, offering a flexible and powerful way to handle complex tasks in your automations.

Connect Function

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

Overview of Go

You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.

Connect Go

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package main

import (
	"fmt"

	pd "github.com/PipedreamHQ/pipedream-go"
)

func main() {
	// Access previous step data using pd.Steps
	fmt.Println(pd.Steps)

	// Export data using pd.Export
	data := make(map[string]interface{})
	data["name"] = "Luke"
	pd.Export("data", data)
}