Connect BigML and Supabase to Build Intelligent Automations

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BigML

When this happens...

Choose an Action

Supabase

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Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

New Resource

New Resource

Triggers when a new resource is created

Watch Row Events

Watch Row Events

Trigger when a new row is inserted, updated, deleted.

Projects Created

Projects Created

Triggers when a new project is created in supabase.

Request a new Trigger for BigML

Do thisActions

Action is the task that follows automatically within your BigML integrations.

Create Anomaly Score

Create Anomaly Score

Calculates the anomaly score of a data instance.

Create Centroid

Create Centroid

Find out the closest cluster to your data instance

Create Prediction

Create Prediction

Predict using a model , logistic regression or deepnets

Find Resource

Find Resource

Finds a resource

List Sources

List Sources

Get all the sources.

List Datasets

List Datasets

Get all the dataset.

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Frequently Asked Questions

How do I start an integration between BigML and Supabase?

To start, connect both your BigML and Supabase accounts to viaSocket. Once connected, you can set up a workflow where an event in BigML triggers actions in Supabase (or vice versa).

Can we customize how data from BigML is recorded in Supabase?

Absolutely. You can customize how BigML data is recorded in Supabase. This includes choosing which data fields go into which fields of Supabase, setting up custom formats, and filtering out unwanted information.

How often does the data sync between BigML and Supabase?

The data sync between BigML and Supabase typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from BigML to Supabase?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between BigML and Supabase?

Yes, you can set conditional logic to control the flow of data between BigML and Supabase. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.

BigML

About BigML

BigML is a leading machine learning platform that provides a wide range of tools and services for creating, deploying, and managing machine learning models. It offers an intuitive interface and powerful APIs to help businesses and developers harness the power of machine learning for predictive analytics, anomaly detection, clustering, and more.

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Supabase

About Supabase

Supabase is an open-source backend-as-a-service platform that provides developers with a suite of tools to build, deploy, and manage applications. It offers features like real-time databases, authentication, and storage, making it a comprehensive solution for modern app development.

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