Integrate GitHub with BigML to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Create Anomaly Score in Bigml when When a new issue is created in GitHub
Create Centroid using BigML when When a new issue is created in GitHub
Create Prediction in BigML when When a new issue is created in GitHub
Find Resource in Bigml when When a new issue is created in GitHub
List Sources from BigML when When a new issue is created in GitHub
Start from a real workflow other teams are already running.
GitHub
When this happens...
When a new issue is created
When a new branch or tag is created
New Release Published
Pull Request Opens or Closes
When a new comment is added to an issue
When a repository is forked
When a new public repository is created
New Commit Received
New Repository Created
Gist Created or Updated
When a milestone is created
When a label is created, edited, or deleted in the selected repository
When a member is added to a repository
BigML
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
Create Anomaly Score in Bigml when When a new issue is created in GitHub
Use this flowCreate Centroid using BigML when When a new issue is created in GitHub
Use this flowCreate Prediction in BigML when When a new issue is created in GitHub
Use this flowFind Resource in Bigml when When a new issue is created in GitHub
Use this flowList Sources from BigML when When a new issue is created in GitHub
Use this flowList Datasets from BigML when When a new issue is created in GitHub
Use this flowList Sample from BigML when When a new issue is created in GitHub
Use this flowList Model from BigML when When a new issue is created in GitHub
Use this flowList Time Series from BigML when When a new issue is created in GitHub
Use this flowList Evaluations from BigML when When a new issue is created in GitHub
Use this flowEverything you can automate between GitHub and BigML.
When this happensTriggers
A trigger is an event that starts a workflow.
Runs the workflow automatically whenever a new issue is created in the repository.
Runs the workflow automatically whenever a new branch or tag is created in the repository.
Runs when a new release is published in the selected repository.
Runs the workflow automatically whenever a pull request is opened or closed in the repository.
Runs the workflow automatically whenever a new comment is added to any issue.
Runs the workflow automatically whenever a repository is forked.
Action is the task that follows automatically within your GitHub integrations.
Create a new issue in repo
Return repository details
Modify an existing issue's title, description, state, assignees, labels, or milestone in a GitHub repository.
Find an issue in a repository by issue number, or by title and state.
Find an organization by name
Create a gist from files

Follow a simple walkthrough to create, test, and launch your first automation.
Connect your apps
Link the apps you want to automate.
Configure your workflow
Set up triggers, actions, and map your data.
Test & publish
Test your workflow and publish it.
Recognized by leading review platforms and trusted by 10,000+ businesses worldwide.
Just describe the task in plain English. viaSocket AI selects the right apps, builds the workflow, maps the fields, and prepares everything for review before you publish.

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GitHub is a developer platform for hosting code, collaborating on software projects, managing issues and pull requests, automating workflows, and securing the software development lifecycle with tools like GitHub Actions and Advanced Security.
Learn moreBigML 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.
Learn moreSign up for a free viaSocket account, then authorize both your GitHub and BigML accounts. From there, pick a trigger in one app and an action in the other. Your first workflow can be live in under five minutes.
Yes. viaSocket uses instant triggers where available, so data moves between GitHub and BigML as soon as the event happens. Scheduled polling triggers run at a maximum interval of 15 minutes.
Yes. You can map specific fields, apply filters to skip records that do not match your conditions, and transform values before they reach BigML. No coding required.
Yes. You can set up a workflow where GitHub triggers actions in BigML, and a separate workflow where BigML triggers actions in GitHub. Both run independently and in real time.
viaSocket logs every run so you can see exactly what succeeded and what failed. Failed tasks can be retried from the dashboard without re-configuring the workflow.
Yes, there is a free plan that covers basic workflows between GitHub and BigML. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire GitHub and BigML integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.