Ross ROSS = Recommend OSS · open-source software intelligence for agents

grafana/pyroscope

Continuous Profiling Platform. Debug performance issues down to a single line of code observed · 2026-08-28

github.com/grafana/pyroscope · homepage · Go · AGPL-3.0 (copyleft) observed · 2026-08-28

Health v2 · maintenance only

99/100

  • Activity 99
  • Release rhythm 99
  • Longevity 100
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: 7
  • age_days: 2071
  • days_rel: 9
  • days_push: 7
  • n_releases_24m: 58

Full methodology

Adoption not part of the score

11641 stars · 796 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Grafana Pyroscope is an open-source continuous profiling platform and database that aggregates, stores, and queries profiling data (CPU, memory, I/O) down to the source code line number. It integrates natively with Grafana so profiles can be correlated with metrics, logs, and traces as another observability signal.

Use cases

  • find cpu bottlenecks in production
  • debug memory leaks down to a line of code
  • reduce cloud infrastructure costs by optimizing resource usage
  • store and query continuous profiling data at scale
  • correlate profiling data with metrics logs and traces
  • investigate latency incidents with flamegraphs
  • monitor application performance trends over time

When to choose

  • you need continuous, always-on profiling in production with durable long-term storage
  • you want a Prometheus-like single-binary profiler that scales horizontally with multi-tenancy
  • you already use Grafana and want profiles as an additional observability signal
  • you need line-level root cause analysis for CPU, memory, or I/O issues across Go, Ruby, Python, and other runtimes

When to avoid

  • you only need occasional ad-hoc profiling during local development rather than always-on production profiling
  • you need a managed SaaS offering with support rather than self-hosting (consider Grafana Cloud Profiles)
  • your license requirements are incompatible with AGPL-3.0
  • you need profiling for platforms without supported instrumentation agents

Facets

service · maturity active

monitoring tracing analytics developer-tools monitoring performance go self-hosted cloud continuous-profiling profiling-database observability flamegraphs grafana cpu-profiling memory-profiling multi-tenancy devops linux docker

9 sources

Member repositories

RepositoryRoleHealth v2
grafana/pyroscopemain99

For agents

markdown · JSON · MCP: product_card(name="grafana/pyroscope")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem