# lafikl/perfBar

Repository: https://github.com/lafikl/perfBar
Canonical: https://ross.abutalabs.com/products/perfbar
Homepage: http://lafikl.github.io/perfBar/
Language: JavaScript
License: MIT
License Family: permissive
Last push: 2015-11-16T11:30:46+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 4417, "days_push": 3943, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1091, forks 33 (observed 2026-08-28T04:03:32.971525+00:00)

## What it is
PerfBar is a lightweight JavaScript library for collecting and displaying website performance metrics directly in the browser, with support for budgeting and custom metrics. It bundles dozens of built-in metrics like load time, latency, and first paint via a single dependency-free script.

## Use cases
- monitor website performance metrics in the browser
- set performance budgets for page load time and latency
- add custom performance metrics for a specific web app
- quickly check first paint and number of HTTP requests
- track front-end rendering time during development

## When to choose
- you want a zero-dependency single-script performance dashboard in the browser
- you need simple performance budgeting with built-in Navigation Timing metrics
- you are auditing page load behavior during development

## When to avoid
- you need actively maintained tooling or modern metrics like Core Web Vitals (LCP, CLS)
- you need server-side or CI-based performance monitoring
- you require Firefox support for first paint metrics

## Facets
- artifact type: library
- maturity: abandoned
- function: monitoring, analytics, benchmarking
- domain: web-development, performance, frontend, developer-tools
- platform: browser
- tags: performance-metrics, web-performance, budgeting, navigation-timing, client-side, javascript

## Member repositories
- lafikl/perfBar (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:32.971525+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 2026-08-30T06:49:09.249529+00:00, confidence not recorded.
  - readme: https://github.com/lafikl/perfBar (fetched 2026-08-28T04:03:32.971525+00:00, sha 29783ed43a1b)
  - homepage: http://lafikl.github.io/perfBar/ (fetched 2026-08-29T12:51:17.655453+00:00, sha 0c53dc020067)
- Data as of 2026-08-30T08:39:29.467469+00:00.