Connect Ganttic and DataRobot to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Ganttic
Choose an Action
Automatically do this!
- Request a new Action for DataRobot
Enable Integrations or automations with these events of Ganttic and DataRobot
Enable Integrations or automations with these events of Ganttic and DataRobot
Actions
List All Users
Retrieves the list of all users
Add Task
Creates a new task.
Create Resource
Creates a new resource.
Create Project
Creates a new project.
Find Project
find project by title
List All Resources
Retrieves the list of all resources
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Frequently Asked Questions
To start, connect both your Ganttic and DataRobot accounts to viaSocket. Once connected, you can set up a workflow where an event in Ganttic triggers actions in DataRobot (or vice versa).
Absolutely. You can customize how Ganttic data is recorded in DataRobot. This includes choosing which data fields go into which fields of DataRobot, setting up custom formats, and filtering out unwanted information.
The data sync between Ganttic and DataRobot 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 Ganttic and DataRobot. 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 Ganttic
Ganttic is an online resource planning software, that you can use for managing project portfolios while planning resources with maximum efficiency. You can create clear and comprehensive visual plans that give you an instant overview of all your resources and projects.
Learn MoreAbout DataRobot
DataRobot is a leading AI platform that enables organizations to harness the power of machine learning and artificial intelligence to drive business insights and decision-making. It offers automated machine learning capabilities, allowing users to build, deploy, and manage AI models efficiently.
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