Tables

📋 Structured Data Tables

In addition to dashboards, Flocon supports structured data tables (compatible with Kotlin Multiplatform). These allow you to visualize lists of items with multiple columns directly in the desktop interface.

Use cases include: - Displaying active user sessions. - Inspecting items in local memory or cache. - Monitoring custom business events. - Comparing simulated backend responses.

Tables are interactive, scrollable, and provide a clear way to inspect real-time collections.

Usage

To log a new row in a table, identify the table by name and use the log method with the toParam DSL to define column values.

floconTable("active_sessions").log(
    "user_id" toParam "1024",
    "name" toParam "Florent",
    "status" toParam "Active",
    "last_seen" toParam "2023-10-27 10:00"
)

Real-time Updates

Whenever you call .log(), a new row is appended to the corresponding table in Flocon Desktop. This makes it ideal for tracking events or state changes over time.

fun onUserAction(user: User, action: String) {
    floconTable("user_actions").log(
        "timestamp" toParam currentTimeMillis().toString(),
        "user" toParam user.name,
        "action" toParam action
    )
}