# alibaba/TProfiler

TProfiler是一个可以在生产环境长期使用的性能分析工具

Repository: https://github.com/alibaba/TProfiler
Canonical: https://ross.abutalabs.com/products/tprofiler
Language: Java
License: GPL-2.0
License Family: copyleft
Last push: 2018-10-19T04:51:10+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 5251, "days_push": 2875, "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 2372, forks 907 (observed 2026-08-28T04:06:41.882235+00:00)

## What it is
TProfiler is a Java code profiling tool from Alibaba designed to run long-term in production environments. It attaches to a Java 6+ VM to collect method-level performance data with low overhead.

## Use cases
- profile a Java application running in production
- find slow methods causing latency in a JVM service
- diagnose performance bottlenecks in Taobao/Alibaba-style Java backends
- collect long-running method execution statistics without stopping the app
- analyze CPU hotspots in a Java web application

## When to choose
- you need a lightweight profiler that can stay attached in production
- you are maintaining legacy Java systems on older JVMs
- you want method-level execution statistics with minimal setup

## When to avoid
- you need modern JVM support or active maintenance and community updates
- you want flame graphs or async sampling like async-profiler provides
- your project requires a permissively licensed tool (it is GPL-2.0)

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: monitoring, benchmarking, developer-tools
- domain: developer-tools, performance
- platform: jvm, cli
- tags: profiling, java-agent, production-diagnosis, performance-analysis, command-line, linux

## Member repositories
- alibaba/TProfiler (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:41.882235+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 2026-08-30T02:35:07.547917+00:00, confidence not recorded.
  - readme: https://github.com/alibaba/TProfiler (fetched 2026-08-28T04:06:41.882235+00:00, sha 0bd892bd1ef1)
- Data as of 2026-08-30T08:39:29.467469+00:00.