📋 Structured Data Tables

Flocon supports structured data tables (Kotlin Multiplatform compatible). These allow your app to stream rows of multi-column data directly to the desktop interface for real-time inspection.

Overview

Tables View

Common use cases: - Inspecting active in-memory user sessions or authentication states. - Streaming custom business domain telemetry. - Monitoring cache keys and eviction events. - Tracking queued background jobs or workers.

Setup

dependencies {
    debugImplementation("io.github.openflocon:flocon-tables:LAST_VERSION")
    releaseImplementation("io.github.openflocon:flocon-tables-no-op:LAST_VERSION")
}

startFlocon(context) {
    install(FloconTable)
}

Logging Table Rows

To log a row into a named table, call table(...) on the table plugin and add the columns:

Flocon.tablePlugin.table("active_sessions") {
    column("user_id", "1024")
    column("name", "Raphael")
    column("status", "Active")
    column("last_seen", "2026-08-14 17:30")
}

Real-Time Event Tracking

Every table(...) call appends a row with real-time updates:

fun onUserAction(user: User, action: String) {
    Flocon.tablePlugin.table("user_actions") {
        column("timestamp", System.currentTimeMillis().toString())
        column("user", user.name)
        column("action", action)
    }
}