JMH Alternatives
Similar projects and alternatives to JMH
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JITWatch
Log analyser / visualiser for Java HotSpot JIT compiler. Inspect inlining decisions, hot methods, bytecode, and assembly. View results in the JavaFX user interface.
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SonarQube
Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.
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sbt-sonatype
A sbt plugin for publishing Scala/Java projects to the Maven central.
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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.
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Scout APM
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
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quickperf
QuickPerf is a testing library for Java to quickly evaluate and improve some performance-related properties
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sbt-dependency-graph
sbt plugin to create a dependency graph for your project
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sbt-updates
sbt plugin that can check Maven and Ivy repositories for dependency updates
JMH reviews and mentions
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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.
Stats
sbt/sbt-jmh is an open source project licensed under Apache License 2.0 which is an OSI approved license.
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