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
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}`,
},
})
},
})
MonkeyLearn is a text analysis platform that employs machine learning to extract and process data from chunks of text. By leveraging the MonkeyLearn API on Pipedream, you can automate the categorization of text, extract specific data, analyze sentiment, and more, all in real-time. This enables the development of powerful custom workflows that can analyze customer feedback, automate email processing, or provide insightful analytics on textual data from various sources.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
monkeylearn: {
type: "app",
app: "monkeylearn",
}
},
async run({steps, $}) {
const data = {
"data": [
"This is a great tool!",
]
}
return await axios($, {
method: "post",
url: `https://api.monkeylearn.com/v3/classifiers/cl_pi3C7JiL/classify/`,
headers: {
"Authorization": `Token ${this.monkeylearn.$auth.api_key}`,
"Content-Type": `application/json`,
},
data,
})
},
})