Netflix/flamescope
FlameScope is a visualization tool for exploring different time ranges as Flame Graphs. observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3079
- days_rel: n/a
- days_push: 1062
- n_releases_24m: 0
Adoption not part of the score
3117 stars · 177 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
application · maturity maintenance
data-visualization monitoring tracing performance developer-tools data-visualization python self-hosted flame-graphs profiling perf heatmap performance-analysis linux web-server
1 source
- readme: https://github.com/Netflix/flamescope · fetched 2026-08-28 · 37c87ea98c10
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Netflix/flamescope | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="Netflix/flamescope")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem