Databox
Connect your data from any tool and track it from any device. No more logging into dozens of different tools to understand performance — now you and your team can easily connect your data, build and share reports, monitor trends, and discover insights.
Integrate the Databox API with the Go API
Setup the Databox API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Databox and Go remarkably fast. Free for developers.
Popular Databox 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 Databox#
The Databox API enables you to create custom dashboards, integrating various data sources to track performance metrics in real-time. With Pipedream, you can leverage this API to automate the flow of data between Databox and other applications, creating bespoke monitoring solutions and data-driven workflows that save time and enhance insights.
Connect Databox#
import Databox from 'databox'
export default defineComponent({
props: {
databox: {
type: "app",
app: "databox",
},
},
async run({steps, $}) {
const client = new Databox({
push_token: `${this.databox.$auth.token}`
})
return await new Promise((resolve) => client.metrics((metrics) => resolve(metrics)))
}
})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)
}