# Netflix/flamescope

FlameScope is a visualization tool for exploring different time ranges as Flame Graphs.

Repository: https://github.com/Netflix/flamescope
Canonical: https://ross.abutalabs.com/products/flamescope
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2023-10-06T14:48:52+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3079, "days_push": 1062, "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 3117, forks 177 (observed 2026-08-28T04:07:44.170505+00:00)

## What it is
FlameScope is a visualization tool for exploring Linux perf profile data as interactive heat maps and time-range-filtered flame graphs. It consists of a Python backend and a React client for analyzing performance issues like perturbations and variance.

## Use cases
- visualize linux perf profiles as flame graphs
- analyze cpu performance perturbations and variance
- select a time range of a profile and generate a flame graph
- inspect subsecond offset heat maps of profiling data
- debug single-threaded execution bottlenecks
- analyze java or c++ stack traces from perf script output

## When to choose
- you have Linux perf script output with stack traces to analyze
- you need to zoom into specific time windows of a CPU profile
- you want to spot patterns like periodic spikes or variance in profiles

## When to avoid
- you need a general-purpose continuous profiling platform
- you profile on non-Linux platforms without perf
- you want a zero-setup hosted tool rather than a self-run web app

## Facets
- artifact type: application
- maturity: maintenance
- function: data-visualization, monitoring, tracing
- domain: performance, developer-tools, data-visualization
- platform: python, self-hosted
- tags: flame-graphs, profiling, perf, heatmap, performance-analysis, linux, web-server

## Member repositories
- Netflix/flamescope (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:44.170505+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 2026-08-30T07:26:38.775879+00:00, confidence not recorded.
  - readme: https://github.com/Netflix/flamescope (fetched 2026-08-28T04:07:44.170505+00:00, sha 37c87ea98c10)
- Data as of 2026-08-30T08:39:29.467469+00:00.