# arl/statsviz

Visualise Go runtime metrics in real time

Repository: https://github.com/arl/statsviz
Canonical: https://ross.abutalabs.com/products/statsviz
Language: Go
License: MIT
License Family: permissive
Topics: go, runtime, garbage-collector, plots, visualization, live, monitoring, stats, metrics, golang, golang-library, hacktoberfest
Last push: 2026-08-24T21:08:02+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 2211, "days_push": 9, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3645, forks 124 (observed 2026-08-28T04:08:12.907267+00:00)

## What it is
Statsviz is a Go library that visualizes Go runtime metrics (heap, goroutines, GC pauses, scheduler) as real-time plots in a web UI. It registers HTTP handlers with your application's mux and streams live metrics to the browser.

## Use cases
- visualize go runtime metrics in real time
- debug garbage collector pauses in a go application
- monitor goroutine counts live in the browser
- inspect heap and memory stats of a running go service
- add a runtime metrics dashboard to a go http server

## When to choose
- you want zero-config runtime metrics visualization for a Go program
- you need live GC, heap, and scheduler plots during development or profiling
- you want a lightweight library that plugs into an existing http.ServeMux

## When to avoid
- you need long-term metrics storage or alerting rather than live viewing
- your application is not written in Go
- you need production-grade monitoring across many services

## Facets
- artifact type: library
- maturity: active
- function: monitoring, data-visualization, charts
- domain: monitoring, developer-tools, performance
- platform: go, browser
- tags: go-runtime, garbage-collector, real-time-plots, runtime-metrics, http-handlers, web-server

## Member repositories
- arl/statsviz (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:12.907267+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:31:44.674382+00:00, confidence not recorded.
  - readme: https://github.com/arl/statsviz (fetched 2026-08-28T04:08:12.907267+00:00, sha d8389f14a423)
- Data as of 2026-08-30T08:39:29.467469+00:00.