Upwave

Upwave is a visual platform for collaborating on projects, portfolios, risk management and daily tasks

Integrate the Upwave API with the Go API

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

The Upwave API provides programmatic access to the Upwave project management platform, enabling users to automate tasks, sync data across various tools, and create custom integrations. On Pipedream, you can leverage this API to build powerful workflows that can add tasks, update boards, and track project progress, all in real time. With Pipedream's serverless architecture, you can set up event-driven workflows that respond to changes in Upwave or integrate with other apps to streamline your project management processes.

Connect Upwave

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    upwave: {
      type: "app",
      app: "upwave",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.upwave.io/auth/`,
      headers: {
        "Authorization": `Token ${this.upwave.$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)
}