Connect TeamGantt and Roboflow to Build Intelligent Automations
Choose a Trigger
When this happens...
New Project Comment
Choose an Action
Automatically do this!
- Request a new Action for Roboflow
Enable Integrations or automations with these events of TeamGantt and Roboflow
Enable Integrations or automations with these events of TeamGantt and Roboflow
Triggers
New Project Comment
Trigger when New Project Comment created.
Actions
Create Task
Creates a new task in a specified project.
Update Task
Updates details for an existing task.
Delete Task
Deletes an existing task from a project.
Get a Task
Get a task details by task ID
List Projects
List all projects
List Boards
List all Boards
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- Send for Approval acceptCreate Entry of expensesAdd Step
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Frequently Asked Questions
To start, connect both your TeamGantt and Roboflow accounts to viaSocket. Once connected, you can set up a workflow where an event in TeamGantt triggers actions in Roboflow (or vice versa).
Absolutely. You can customize how TeamGantt data is recorded in Roboflow. This includes choosing which data fields go into which fields of Roboflow, setting up custom formats, and filtering out unwanted information.
The data sync between TeamGantt and Roboflow 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 TeamGantt and Roboflow. 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 TeamGantt
TeamGantt is a project management tool that allows teams to plan, schedule, and manage their projects using Gantt charts. It provides a visual timeline for project tasks, making it easier to track progress and collaborate effectively.
Learn MoreAbout Roboflow
Roboflow is a platform designed to streamline the process of building, training, and deploying computer vision models. It provides tools for managing datasets, annotating images, and integrating machine learning models into applications, making it easier for developers and data scientists to work with visual data.
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