JMH vs jHiccup

JMH

"Trust no one, bench everything." - sbt plugin for JMH (Java Microbenchmark Harness) (by sbt)

#Performance analysis #Openjdk #Scala #Benchmark

jHiccup is a non-intrusive instrumentation tool that logs and records platform "hiccups" - including the JVM stalls that often happen when Java applications are executed and/or any OS or hardware platform noise that may cause the running application to not be continuously runnable. (by giltene)

#Performance analysis

Source Code

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JMH		jHiccup
	Project
2	Mentions	1
738	Stars	612
0.1%	Growth	-
2.1	Activity	0.0
about 2 months ago	Latest Commit	8 months ago
Scala	Language	Java
Apache License 2.0	License	GNU General Public License v3.0 or later

The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

JMH

Posts with mentions or reviews of JMH. We have used some of these posts to build our list of alternatives and similar projects.

Why is Scala so much slower than JavaScript/Node at running iterations?
1 project | reddit.com/r/scala | 13 Feb 2022

Take a look at sbt-jhm for doing benchmarks. Java in particular is hard to measure because of optimizations that happen at run-time. jhm runs multiple iterations and gives tools to ensure that function calls and loops that may be optimized away are kept around and tested. You may also find some cases that are faster in node.js because the Javascript V8 engine is highly optimized.
Help with making backtracking more efficient
1 project | reddit.com/r/scala | 26 Aug 2021

Also, if you really want to know what the performance characteristics are you should use JMH (sbt plugin https://github.com/sbt/sbt-jmh). Not sure how you are evaluating the performance but things like JVM startup and warming can make a big difference. JMH will give you a better idea of real world performance when the JVM is already started and any relevant hot code has been JIT compiled.

jHiccup

Posts with mentions or reviews of jHiccup. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-28.

Introducing KoolKits - OSS Debugging Toolkits for Kubernetes
10 projects | dev.to | 28 Feb 2022

JVM KoolKit – jvm-profiler, jHiccup support

What are some alternatives?

When comparing JMH and jHiccup you can also consider the following projects:

JITWatch - Log analyser / visualiser for Java HotSpot JIT compiler. Inspect inlining decisions, hot methods, bytecode, and assembly. View results in the JavaFX user interface.

honest-profiler - A sampling JVM profiler without the safepoint sample bias

sbt-sonatype - A sbt plugin for publishing Scala/Java projects to the Maven central.

sbteclipse - Plugin for sbt to create Eclipse project definitions

sbt-buildinfo - I know this because build.sbt knows this.

LatencyUtils - Utilities for latency measurement and reporting

sbt-dependency-graph - sbt plugin to create a dependency graph for your project

quickperf - QuickPerf is a testing library for Java to quickly evaluate and improve some performance-related properties

Sniffy - Sniffy - interactive profiler, testing and chaos engineering tool for Java

sbt-native-packager - sbt Native Packager

JMH vs JITWatch

JMH vs honest-profiler

JMH vs sbt-sonatype