JMH
"Trust no one, bench everything." - sbt plugin for JMH (Java Microbenchmark Harness) (by sbt)
jHiccup
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)
| JMH | jHiccup | |
|---|---|---|
| 3 | 2 | |
| 789 | 690 | |
| 0.1% | 0.0% | |
| 7.4 | 0.0 | |
| 4 months ago | about 1 year ago | |
| Scala | Java | |
| Apache License 2.0 | 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.
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. The last one was on 2023-02-26.
-
Scala collections benchmark - revisited
Also, it has an amazing SBT plugin integration.
-
Why is Scala so much slower than JavaScript/Node at running iterations?
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.
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Help with making backtracking more efficient
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.
- JHiccup
-
Introducing KoolKits - OSS Debugging Toolkits for Kubernetes
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.
LatencyUtils - Utilities for latency measurement and reporting
honest-profiler - A sampling JVM profiler without the safepoint sample bias