VivifyScrum
Multiplatform Project Management tool for Agile teams. Organize everything you need to manage, track and deliver your projects - Scrum or Kanban
Integrate the VivifyScrum API with the Go API
Setup the VivifyScrum API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate VivifyScrum and Go remarkably fast. Free for developers.
Popular VivifyScrum and Go Actions#
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Overview of VivifyScrum#
The VivifyScrum API unleashes the potential to automate your agile project management by interfacing with your scrum boards, backlogs, and work items. Through Pipedream's serverless platform, you can create workflows that respond to events within VivifyScrum, such as new tasks or status updates. This allows for synchronization of project data across various platforms, reporting, and triggering actions in other tools, thereby enhancing productivity and providing real-time insights.
Connect VivifyScrum#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
vivifyscrum: {
type: "app",
app: "vivifyscrum",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.vivifyscrum.com/api/v1/board-export`,
headers: {
Authorization: `Bearer ${this.vivifyscrum.$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#
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)
}