with Neon Postgres and Scale AI?
Emit new event when a new column is added to a table. See the documentation
Emit new event when a row is added or modified. See the documentation
Emit new event when a new row is added to a table. See the documentation
Emit new event when new rows are returned from a custom query that you provide. See the documentation
Emit new event when a new table is added to the database. See the documentation
Create a document transcription task. See the documentation
Create an image annotation task. See the documentation
Finds a row in a table via a lookup column. See the documentation
import { axios } from "@pipedream/platform";
import { neon } from "@neondatabase/serverless";
export default defineComponent({
props: {
neon_postgres: {
type: "app",
app: "neon_postgres",
}
},
async run({ steps, $ }) {
const { host, port, user, password, database } = this.neon_postgres.$auth
const connectionString = `postgresql://${user}:${password}@${host}:${port}/${database}`
const sql = neon(connectionString)
const result = await sql`SELECT version()`
const { version } = result[0]
return version
},
})
Scale AI offers an API to automate and streamline data labeling for machine learning applications, providing access to a global workforce and sophisticated tools. With Scale AI's API on Pipedream, you can integrate scalable data annotation workflows directly into your apps. Trigger tasks, manage datasets, and receive annotated data, all within Pipedream's serverless platform. This enables seamless automation of labeling tasks, integration with machine learning pipelines, and real-time updates on annotations.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
scale_ai: {
type: "app",
app: "scale_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.scale.com/v1/teams`,
headers: {
"Accept": `application/json`,
},
auth: {
username: `${this.scale_ai.$auth.api_key}`,
password: ``,
},
})
},
})