The big data spreadsheet that combines database power with cloud scale.
Creates an export for a gigasheet dataset. See the documentation
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Uploads data from a URL to Gigasheet. See the documentation
The Gigasheet API enables users to manipulate large-scale data sheets within the cloud effortlessly. Through Pipedream, you can leverage this functionality to automate data analysis, manipulation, and enrichment workflows. By connecting Gigasheet with other apps, you can streamline processes like data import, transformation, and sharing, making Pipedream an ideal platform to enhance productivity and data handling efficiency.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
gigasheet: {
type: "app",
app: "gigasheet",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.gigasheet.com/user/whoami`,
headers: {
"X-GIGASHEET-TOKEN": `${this.gigasheet.$auth.api_key}`,
"accept": `application/json`,
},
})
},
})
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.
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)
}