Connected workspace for teams
Emit new event for every updated entity of a certain type. See the docs here
Emit new event for every created entity of a certain type. See the docs here
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Creates a new entity or updates if it exists. See the docs here
Get an entity or create one if it doesn't exist. See the docs here
Fibery is a versatile work management platform, and its API amplifies this versatility within Pipedream's environment. Leveraging the Fibery API on Pipedream, you can automate complex workflows that span across project management, product development, and collaborative functions. This includes actions like syncing issues across platforms, aggregating feedback into product roadmaps, or updating project timelines based on external triggers. With Pipedream, you can listen for webhooks, schedule tasks, and seamlessly connect Fibery with other apps to create a dynamic, interconnected workspace.
module.exports = defineComponent({
props: {
fibery: {
type: "app",
app: "fibery",
}
},
async run({steps, $}) {
return (await require("@pipedream/platform").axios($, {
method: "post",
url: `https://${this.fibery.$auth.account_name}.fibery.io/api/commands`,
headers: {
"Authorization": `Token ${this.fibery.$auth.api_key}`,
"Content-Type": `application/json`,
},
data: [
{
"command": "fibery.entity/query",
"args": {
"query": {
"q/from": "fibery/user",
"q/select": ["fibery/id", "user/name"],
"q/limit": 1
}
}
}
],
}))[0]
},
})
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)
}