Favro

The most agile tool for distributed teams. For every team and any leader.

Integrate the Favro API with the Go API

Setup the Favro API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Favro 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 Favro

The Favro API gives you the power to automate and integrate your project management tools with a host of other services. With Favro and Pipedream, you can create custom workflows to synchronize tasks, update cards, manage boards, and collaborate more effectively across your organization. Whether you're syncing with a CRM, triggering notifications, or generating reports, Pipedream's serverless platform makes it simple to connect Favro with other apps to streamline your processes.

Connect Favro

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    favro: {
      type: "app",
      app: "favro",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://favro.com/api/v1/organizations`,
      auth: {
        username: `${this.favro.$auth.username}`,
        password: `${this.favro.$auth.api_token}`,
      },
    })
  },
})

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)
}