Connect BigML and Datawrapper
Integrate BigML with Datawrapper to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Create Anomaly Score in Bigml when When a chart is created or updated in Datawrapper
Create Centroid using BigML when When a chart is created or updated in Datawrapper
Create Prediction in BigML when When a chart is created or updated in Datawrapper
Find Resource in Bigml when When a chart is created or updated in Datawrapper
List Sources from BigML when When a chart is created or updated in Datawrapper
Popular BigML + Datawrapper flows
Start from a real workflow other teams are already running.
Choose a trigger
BigML
When this happens...
New Resource
Choose an action
Datawrapper
Automatically do this!
Create a Chart
List Charts
Find Users
List Team Members
List Folders
Delete a Chart
List Workspaces
Create a Folder
Create a Workspace
Update Chart
Upload Data to a Chart
List Themes
List Teams
Publish Chart
Unpublish a Chart
Copy Chart
Get Chart Publish Status
Get Chart Embed Codes
Get Chart Data
Export Chart
Create Anomaly Score in Bigml when When a chart is created or updated in Datawrapper
Use this flowCreate Centroid using BigML when When a chart is created or updated in Datawrapper
Use this flowCreate Prediction in BigML when When a chart is created or updated in Datawrapper
Use this flowFind Resource in Bigml when When a chart is created or updated in Datawrapper
Use this flowList Sources from BigML when When a chart is created or updated in Datawrapper
Use this flowList Datasets from BigML when When a chart is created or updated in Datawrapper
Use this flowList Sample from BigML when When a chart is created or updated in Datawrapper
Use this flowList Model from BigML when When a chart is created or updated in Datawrapper
Use this flowList Time Series from BigML when When a chart is created or updated in Datawrapper
Use this flowList Evaluations from BigML when When a chart is created or updated in Datawrapper
Use this flowSupported Triggers & Actions
Everything you can automate between BigML and Datawrapper.
When this happensTriggers
A trigger is an event that starts a workflow.
New Resource
Triggers when a new resource is created
When a chart is created or updated
Runs the workflow automatically whenever any chart is created or updated in the account.
Do thisActions
Action is the task that follows automatically within your BigML integrations.
Create Anomaly Score
Calculates the anomaly score of a data instance.
Create Centroid
Find out the closest cluster to your data instance
Create Prediction
Predict using a model , logistic regression or deepnets
Find Resource
Finds a resource
List Sources
Get all the sources.
List Datasets
Get all the dataset.
Learn how to build your first workflow
Follow a simple walkthrough to create, test, and launch your first automation.
- 1
Connect your apps
Link the apps you want to automate.
- 2
Configure your workflow
Set up triggers, actions, and map your data.
- 3
Test & publish
Test your workflow and publish it.
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AI will build it for you
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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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.
Learn more
About Datawrapper
Datawrapper is a powerful tool for creating charts, maps, and tables from your data, making it easy to visualize and share insights. It is designed to help users transform raw data into clear, engaging visualizations that can be embedded in websites or shared across platforms.
Learn moreSimilar apps
Frequently Asked Questions
Sign up for a free viaSocket account, then authorize both your BigML and Datawrapper 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 BigML and Datawrapper 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 Datawrapper. No coding required.
Yes. You can set up a workflow where BigML triggers actions in Datawrapper, and a separate workflow where Datawrapper triggers actions in BigML. 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 BigML and Datawrapper. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire BigML and Datawrapper integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.
