Supabase is an open source Firebase alternative.
Emit new event for every new row added in a table. See documentation here
Emit new event for every insert
, update
, or delete
operation in a table. This source requires user configuration using the Supabase website. More information in the README. Also see documentation here
Examines an image or video following given instructions. Results will contain the analysis findings. See the documentation
Analyzes a specified text for its underlying sentiment. See the documentation
Supabase is a real-time backend-as-a-service that provides developers with a suite of tools to quickly build and scale their applications. It offers database storage, authentication, instant APIs, and real-time subscriptions. With the Supabase API, you can perform CRUD operations on your database, manage users, and listen to database changes in real time. When integrated with Pipedream, you can automate workflows that react to these database events, synchronize data across multiple services, or streamline user management processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
supabase: {
type: "app",
app: "supabase",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.supabase.$auth.subdomain}.supabase.co/rest/v1/`,
headers: {
Authorization: `Bearer ${this.supabase.$auth.service_key}`,
"apikey": `${this.supabase.$auth.service_key}`,
},
})
},
})
With the Google Vertex AI API, you can tap into a robust suite of AI tools offered by Google Cloud to build, deploy, and scale machine learning models. Whether you're processing data, training custom models, or using pre-trained ones, Vertex AI provides a unified platform for AI development. In Pipedream, you can create serverless workflows that interact with Vertex AI, allowing you to automate tasks like model training, prediction, and resource management without provisioning your own infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_vertex_ai: {
type: "app",
app: "google_vertex_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_vertex_ai.$auth.oauth_access_token}`,
},
})
},
})