Connect GitHub and BigML to Build Intelligent Automations
Choose a Trigger
When this happens...
New Issue
New Branch
New Release
New Pull Request
Issue Comment
New forked repository
New Public Repository
New Commit in Branch
Choose an Action
Automatically do this!
Create Anomaly Score
Create Centroid
Create Prediction
Find Resource
List Sources
List Datasets
List Sample
List Model
List Time Series
List Evaluations
List OptiMLs
List Clusters
List Anomaly Detectors
List Predictions
List Batch Predictions
List Forecasts
List Anomaly Scores
List Batch Anomaly Scores
List Topic Distributions
List Batch Topic Distributions
List Projections
List Batch Projections
List Scripts
List Executions
Use the Built-in Integrations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Issue
Triggers when a new issue is created in a repository.
New Branch
Triggers when a new branch is created in a repository.
New Release
Triggers when a new release is published in schedule time in a repository.
New Pull Request
Triggers when a new pull request is created or updated.
Issue Comment
This event triggers whenever a comment is created, edited, or deleted on an issue or pull request.
New forked repository
Triggered when a repository is forked.
Do thisActions
Action is the task that follows automatically within your GitHub integrations.
Create Issue
Creates a new issue in a specified repository.
Find a Repository
Find a specific Repository.
Find a Pull Request
Finds a specific repo pull.
Update Issue
Updates an existing issue.
Create a Comment in pull request
Creates a new comment in an Pull Request.
Find a Issue
Finds a specific repo issue.
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Frequently Asked Questions
To start, connect both your GitHub and BigML accounts to viaSocket. Once connected, you can set up a workflow where an event in GitHub triggers actions in BigML (or vice versa).
Absolutely. You can customize how GitHub data is recorded in BigML. This includes choosing which data fields go into which fields of BigML, setting up custom formats, and filtering out unwanted information.
The data sync between GitHub and BigML typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between GitHub and BigML. 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.
About GitHub
GitHub is a platform for version control and collaboration, allowing developers to work together on projects from anywhere. It provides tools for code review, project management, and continuous integration.
Learn MoreAbout 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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