gocypher-cybench-java VS multik

Compare gocypher-cybench-java vs multik and see what are their differences.

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gocypher-cybench-java multik
4 9
3 496
- 2.4%
8.2 8.6
3 months ago 5 months ago
Java Kotlin
GNU Lesser General Public License v3.0 only Apache License 2.0
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.

gocypher-cybench-java

Posts with mentions or reviews of gocypher-cybench-java. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-14.

multik

Posts with mentions or reviews of multik. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-27.

What are some alternatives?

When comparing gocypher-cybench-java and multik you can also consider the following projects:

nd4j - Fast, Scientific and Numerical Computing for the JVM (NDArrays)

kotlin-jupyter - Kotlin kernel for Jupyter/IPython

kotlindl - High-level Deep Learning Framework written in Kotlin and inspired by Keras

Kotlin-Multiplatform-Libraries - Kotlin Multiplatform Libraries. Welcome PR if you find or create new Kotlin Multiplatform Library.

rsocket-kotlin - RSocket Kotlin multi-platform implementation

kotlin-flow-extensions - Extensions to the Kotlin Flow library.

KorGE - KorGE Game Engine. Multiplatform Kotlin Game Engine & Korlibs

gocypher-cybench-intellij - CyBench IntelliJ IDEA plugin for benchmarking APIs, Java code

PeopleInSpace - Kotlin Multiplatform project with SwiftUI, Jetpack Compose, Compose for Wear, Compose for Desktop, Compose for Web and Kotlin/JS + React clients along with Ktor backend.

kotlin-wrappers - Kotlin wrappers for popular JavaScript libraries

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.

kotlinx.serialization - Kotlin multiplatform / multi-format serialization