jvmtop
Java profiler
A lightweight console application for monitoring and profiling Java processes.
Java monitoring for the command-line, profiler included
1k stars
80 watching
252 forks
Language: Java
last commit: over 3 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
uber-common/jvm-profiler | A Java agent that collects metrics and stacktraces from JVM processes for performance monitoring and analysis. | 1,785 |
jvm-profiling-tools/honest-profiler | A profiler designed to accurately capture CPU usage without introducing bias into the JVM's sampling mechanism | 1,250 |
coderplay/perfj | A wrapper that enables profiling of Java programs using Linux perf's system profiler capabilities | 352 |
etsy/statsd-jvm-profiler | A JVM profiler that sends profiling data to StatsD | 330 |
devexperts/aprof | Tools to analyze memory allocation in Java applications with minimal performance impact | 220 |
riemann/riemann-jvm-profiler | A tool that collects performance data from JVM processes and sends it to a Riemann server for analysis. | 292 |
jbellis/jamm | An agent that measures actual object memory use in Java applications | 684 |
gperfutils/gprof | A Java profiling tool that analyzes program execution time and provides detailed performance reports. | 33 |
pfirsich/jprof | A profiling library for Lua applications that allows developers to annotate their code with profiling zones and generate human-readable profiles. | 90 |
perfectcarl/play-profiler | A tool for measuring and visualizing performance in Java-based web applications | 5 |
codemancers/rbkit | A Ruby profiling tool with a GUI that profiles Ruby processes and sends data to a client for analysis. | 358 |
r-lib/profvis | A tool for visualizing R profiling data | 305 |
r-kan/semile | Provides an integrated profiling framework for C and Python programs with minimal runtime overhead. | 92 |
mariusae/heapster | An agent-based heap profiling tool for Java Virtual Machines | 395 |
hadley/lineprof | Visualizes performance of R code by profiling execution time at each line or function | 105 |