# aragozin/jvm-tools

Small set of tools for JVM troublshooting, monitoring and profiling.

Repository: https://github.com/aragozin/jvm-tools
Canonical: https://ross.abutalabs.com/products/jvm-tools
Language: Java
License: Apache-2.0
License Family: permissive
Last push: 2024-01-26T12:20:14+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": 5240, "days_push": 950, "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 3340, forks 516 (observed 2026-08-28T04:07:56.908189+00:00)

## What it is
Swiss Java Knife (SJK) is a command-line tool for JVM diagnostics, troubleshooting, and profiling built on standard JVM diagnostic interfaces like JMX, attach API, and perf counters. It can also be used as a Java library to build application-specific diagnostic and self-monitoring features.

## Use cases
- monitor java thread cpu usage in real time
- analyze heap dynamics with class histograms
- generate flame graphs from JFR or VisualVM snapshots
- read and invoke MBean attributes from the command line
- profile a jvm application with a sampling profiler
- troubleshoot high memory allocation in a java process

## When to choose
- you need lightweight command-line JVM diagnostics without a GUI
- you want to inspect threads, heap, or MBeans on a running JVM via PID or JMX
- you need to build custom JVM diagnostic tooling on a library

## When to avoid
- you need a full graphical profiler UI like VisualVM or JProfiler
- you are not working on the JVM platform
- you need actively developed features with frequent releases

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: monitoring, tracing, benchmarking, developer-tools, cli
- domain: developer-tools, monitoring, performance
- platform: jvm, cli, cross-platform
- tags: jvm-diagnostics, profiling, thread-monitoring, flame-graphs, jmx, heap-analysis, troubleshooting, command-line

## Member repositories
- aragozin/jvm-tools (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:56.908189+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 2026-08-29T18:41:04.614688+00:00, confidence not recorded.
  - readme: https://github.com/aragozin/jvm-tools (fetched 2026-08-28T04:07:56.908189+00:00, sha 0640b1bac9f7)
- Data as of 2026-08-30T08:39:29.467469+00:00.