gocypher-cybench-java
cybench-java-benchmarks
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| gocypher-cybench-java | cybench-java-benchmarks | |
|---|---|---|
| 4 | 2 | |
| 3 | 5 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | 10 months ago | |
| Java | Java | |
| GNU Lesser General Public License v3.0 only | GNU Lesser General Public License v3.0 only |
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.
gocypher-cybench-java
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Continuous Performance Regression Testing for CI/CD
How do you do continuous performance regression testing? We just launched cybench.io to help devs with automated performance regression testing during build and CI/CD. See wiki: https://github.com/K2NIO/gocypher-cybench-java/wiki. Main website is at : https://cybench.io.
- Getting Started with Automated Performance Regression Testing ยท K2NIO/gocypher-cybench-java Wiki
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Matrices multiplication benchmark: Apache math vs colt vs ejml vs la4j vs nd4j
We will look into it. There is just so much we can bench..:) Also, keep in mind anyone can create and run benchmarks and compare. CyBench benchmark harness is open source and extends JMH. More on this here: https://github.com/K2NIO/gocypher-cybench-java/wiki.
cybench-java-benchmarks
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Matrices multiplication benchmark: Apache math vs colt vs ejml vs la4j vs nd4j
Here is the link to the actual benchmark code: https://github.com/K2NIO/gocypher-cybench-java-core/blob/main/gocypher-cybench-matrices/src/main/java/com/baeldung/matrices/benchmark/BigMatrixMultiplicationBenchmarking.java
- CyBench benchmark: Undertow, Jetty, NanoHttpd, Sparkjava, Takes, HttpServer
What are some alternatives?
gocypher-cybench-intellij - CyBench IntelliJ IDEA plugin for benchmarking APIs, Java code
nd4j - Fast, Scientific and Numerical Computing for the JVM (NDArrays)
Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.
template-benchmark - JMH benchmark of the most popular Java template engines
jmeter-maven-plugin - The JMeter Maven Plugin
LSM-Tree - Log-Structured Merge Tree Java implementation
multik - Multidimensional array library for Kotlin