Form
Forms allow the creation of interactive interfaces for data input or dashboard filtering. They can be used to collect user information, apply filters, or trigger data flows — making them a powerful tool for systematizing analytical processes.
1. Creating a New Form
Go to the Forms tab.
Click the add form (+) button.
Set a Title, and optionally a Label to display on the user interface.
Choose the Execution Type:
Open flow: Opens a new flow interface.Run flow (in background): Executes the selected flow without opening it.Refresh current flow: Refreshes the existing flow after form submission.
Select the flow to run (if you choose option Run flow (in background))
2. Advanced Settings
Reload current flow: Reloads the active flow after submission.
Reset param after flow: Resets the form parameters after execution.
Confirm before load: Adds a confirmation step before execution.
Custom messages:
On Error: Message displayed when an error occurs.
On Success: Message shown after successful execution.
3. Adding Form Fields
Go to the Types tab and drag the desired form elements:
Text, Number, Date, Time, Checkbox, Slider, Line divider, etc.
Organize fields using grid layouts for better visual structure.
Configure each field in the side panel:
Link the field to a parameter (e.g.,
car,age,money, etc.).Adjust settings like:
Read Only,Required,All Permitted,Multiple.Set a Label, Placeholder, and Field Tip to guide the user.
4. Integration with Data Flows
Forms can be connected directly to flows that execute SQL, Python, or AutoML steps:
The input parameters from the form are passed as variables into the flow logic.
This allows you to dynamically filter data, insert records into databases, or trigger external APIs based on user input.
Best Practices
Use forms to let end users customize dashboards or run simulations.
Combine field validations (required, multiple selection) to ensure data quality.
Prefer background execution for heavy processes to keep the interface responsive.
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