Network Topology Map#

Node graph with layered auto-layout and Geomap view
Spline, rectilinear, self-loop, multi-hop, and parallel edge routing
Arc sections on nodes for multiple metrics
TX/RX interface load visualization with bi-metric arcs
WebGL GPU-accelerated rendering for large datasets
Ad hoc filtering by layers and node groups in the legend
Dynamic drill-down data links to external panels
Distributed tracing paths with per-span properties
Namespace-based subgraphs

🕹️ Live Demo#

Playground with open configuration

📸 Screenshots#

Overview1 Overview2

📘 Data Format#

Overview1 *Unified dataframe model for nodes and links. Field names are examples only; Mapgl does not require fixed field names.

See Panel configuration for setup details and dataframe usage.

🛠️ Data Source#

Use Grafana’s built-in transformations to prepare and merge data from:

Postgres
Prometheus
Zabbix
Any other datasource

Netbox + Prometheus with drill-down
Netbox to Mapgl automation service
Zabbix events on geomap

Before you start

One-click plugin installation still requires preparing a unified dataframe from your own datasource mix, which no tutorial can cover completely.

Mapgl requires only the minimum dataframe structure needed to keep your topology flexible, customizable, and portable across data sources.
It is openly distributed and funded by paid support services, helping you avoid vendor lock-in.

See the Playground for a live demo, and get professional support to speed up dashboard setup and make the most of Mapgl's unique mental model.

🎛️ Grafana Field Config#

Thresholds – value ranges with associated colors to visually indicate status
Mapping – rename displayed values
Units – measurement unit conversion
Overrides – custom settings for specific metrics
DataLinks – links to external dashboards or graphs
Node Group style rules extend control over node color, icon, size, and line width.

🧩 Support#

Onboarding and Extended capabilities