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kotlinx-benchmark

Benchmark Kotlin Multiplatform code across JVM, JS, Native, and Wasm targets.

Updated Jul 20, 2026
Search Tags:#performance#benchmarking#kotlin#gradle#multiplatform#jmh
One-click install
npx skills add https://github.com/trancee/MeshLink-template --skill kotlinx-benchmark
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: kotlinx-benchmark
Source: https://github.com/trancee/MeshLink-template/tree/main/.agents/skills/kotlinx-benchmark
Command: npx skills add https://github.com/trancee/MeshLink-template --skill kotlinx-benchmark

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the difficulty of measuring performance across diverse Kotlin targets (JVM, JS, Native, Wasm) by providing a unified, annotation-driven framework that integrates directly into the Gradle build lifecycle.

Core Features & Use Cases

  • Multiplatform Support: Benchmark code consistently across JVM, JS, Native, and Wasm targets using a shared API.
  • JMH Integration: Leverages the industry-standard Java Microbenchmark Harness for high-precision JVM measurements.
  • Use Case: Use this Skill to identify performance bottlenecks in your cross-platform SDK by defining benchmark classes with @Benchmark annotations and running them via Gradle to compare throughput or latency across different configurations.

Quick Start

Run the kotlinx-benchmark skill to execute all defined benchmarks for the jvm target using the main configuration profile.

Frequently Asked Questions about kotlinx-benchmark

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I benchmark Kotlin Multiplatform code across different targets?▼

You can benchmark Kotlin Multiplatform code by defining benchmark classes with @Benchmark annotations and running them via Gradle. This framework supports JVM, JS, Native, and Wasm targets through a shared API.

What is the best way to measure performance for a cross-platform Kotlin SDK?▼

The best way to measure Kotlin SDK performance is using an annotation-driven framework that integrates with Gradle. It supports custom configuration profiles to compare throughput or latency across different targets.

Does kotlinx-benchmark support JMH for JVM measurements?▼

Yes, kotlinx-benchmark integrates the Java Microbenchmark Harness (JMH) to provide high-precision performance measurements specifically for JVM targets, ensuring accurate and standardized benchmarking results.

How are warmups and dead-code elimination handled during Kotlin benchmarking?▼

Kotlin benchmarking handles warmups and iteration control natively, and prevents dead-code elimination by using a Blackhole mechanism, ensuring the performance measurements remain accurate across all platforms.

Can I run benchmarks for the JVM target using a specific Gradle configuration profile?▼

Yes, you can execute benchmarks for the jvm target using the main configuration profile by running the corresponding Gradle build task, facilitating targeted performance analysis for your specific setup.

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