Algorand Developer Portal
All the tools you need to build, test, and deploy on Algorand (the high performance Layer-1 blockchain), now available in a single, simple portal.
Integrate the Algorand Developer Portal API with the Go API
Setup the Algorand Developer Portal API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Algorand Developer Portal and Go remarkably fast. Free for developers.
Popular Algorand Developer Portal 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 Algorand Developer Portal#
The Algorand Developer Portal API allows you to interact with the Algorand blockchain, performing operations like checking account balances, creating transactions, and reading the current state of the blockchain. When used within Pipedream, you can automate workflows that respond to real-time events on the blockchain, integrate with other APIs for cross-platform actions, or analyze blockchain data to inform business decisions.
Connect Algorand Developer Portal#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
algorand_developer_portal: {
type: "app",
app: "algorand_developer_portal",
}
},
async run({steps, $}) {
return await axios($, {
url: `${this.algorand_developer_portal.$auth.url}/genesis`,
})
},
})
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)
}