Media management, optimization, and delivery solution for a seamless visual experience on websites and apps.
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
List all the uploaded files and folders in your ImageKit.io media library. See the documentation
ImageKit.io API lets you manage, optimize, and deliver images dynamically for your web applications. On Pipedream, you can integrate this API to construct serverless workflows that automate your image operations and connect with other services. You can upload images from various sources, apply real-time transformations, and track media assets without managing infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
imagekit_io: {
type: "app",
app: "imagekit_io",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.imagekit.io/v1/files`,
auth: {
username: `${this.imagekit_io.$auth.private_key}`,
password: ``,
},
})
},
})
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)
}