Open-source WebRTC monitoring tools for teams that need call quality evidence
Peermetrics gives RTC teams a self-hosted path for WebRTC monitoring, analytics, and session diagnostics when hosted black-box tools or generic observability do not fit.This page is for shortlist-stage buyers and developers comparing open-source options for WebRTC quality monitoring and debugging.
Peermetrics is strongest when
- You need to self-host monitoring data.
- You need session-level WebRTC diagnostics.
- You want SDK-level instrumentation plus dashboards.
How to evaluate an open-source WebRTC monitoring stack
- Confirm it captures client-side WebRTC quality signals, not only server uptime.
- Check whether packet loss, jitter, RTT, browser, device, and connection state are tied back to sessions.
- Look for supported integration patterns for your SDK or SFU, such as LiveKit, Jitsi, Janus, Mediasoup, Pion, Agora, or Vonage.
- Decide how much your team wants to self-host versus how much deployment help or custom integration work you need.
- Prefer concrete diagnostics and documented workflows over broad claims about AI or automatic root cause analysis.
Peermetrics fits teams that want open-source WebRTC monitoring and observability with a path to custom support, dashboard, OpenTelemetry-style, or developer-tool workflows.
Where Peermetrics fits
Peermetrics is useful when teams need to inspect what users experienced in real WebRTC sessions and connect those details to support, QA, and engineering workflows.
Where to be careful
Open source does not remove operational work. Teams should still plan deployment, retention, dashboards, alerting, privacy, and ownership around the monitoring data they collect.