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KMPShip VS Easy ML for Java

Compare KMPShip VS Easy ML for Java and see what are their differences

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KMPShip logo KMPShip

Build mobile apps that make money

Easy ML for Java logo Easy ML for Java

The easiest way to start with Machine Learning in Java
  • KMPShip KMPShip - Mobile boilerplate
    KMPShip - Mobile boilerplate //
    2026-04-10
  • KMPShip KMPShip Tech Stack
    KMPShip Tech Stack //
    2025-10-08

KMPShip is a production-ready Kotlin/Compose Multiplatform boilerplate designed to save you hours of setup. It includes everything you need to build feature-rich mobile apps from a shared codebase, including authentication, payments, offline storage, notifications, and more. Skip the repetitive setup and get straight to building your app. With built-in support for payments, KMPShip also helps you monetize faster.

Key features

  • 🔐 Built-in authentication (Google, Apple, email)
  • 💳 In-app purchases & subscriptions
  • 🗂️ Offline-ready local storage
  • 🔔 Push notifications & in-app reviews
  • 🎨 Themed UI with dark mode support
  • 🚀 Preconfigured CI/CD for builds & releases
  • 📱 Sample app
Not present

KMPShip

Website
kmpship.app
Pricing URL
Official KMPShip Pricing
$ Details
freemium $99 / One-off
Platforms
Android iOS
Release Date
2025 June
Startup details
Country
France
Founder(s)
Vivien Mahé
Employees
1 - 9
Edit details

Easy ML for Java

Website
easy-ml.gitbook.io
Pricing URL
-
$ Details
-
Platforms
-
Release Date
-
Edit details

Analysis of KMPShip

Overall verdict

  • KMPShip is a solid choice for developers looking to accelerate cross-platform app development with Kotlin Multiplatform, offering a ready-made boilerplate and tooling that saves significant setup time.

Why this product is good

  • Provides a pre-configured Kotlin Multiplatform boilerplate that reduces initial setup and configuration effort
  • Enables shared business logic across iOS, Android, and other platforms, cutting down development time
  • Helps developers ship apps faster by handling common integrations and project structure out of the box
  • Backed by the growing Kotlin Multiplatform ecosystem, which is officially supported by JetBrains
  • Can lower costs by allowing a single codebase to serve multiple platforms

Recommended for

  • Indie developers and small teams wanting to launch cross-platform apps quickly
  • Startups looking to validate ideas with minimal setup overhead
  • Kotlin developers expanding into iOS and multiplatform development
  • Businesses aiming to maintain a shared codebase to reduce maintenance costs
  • Developers who prefer a starter template over building project scaffolding from scratch

Analysis of Easy ML for Java

Overall verdict

  • Easy ML for Java appears to be a lightweight, approachable library aimed at bringing machine learning capabilities to Java developers without requiring deep ML expertise or switching to Python-centric ecosystems. It seems suitable for developers who want to integrate basic ML functionality into existing Java applications with minimal overhead, though it likely lacks the depth, community support, and cutting-edge features of major frameworks like TensorFlow, PyTorch, or scikit-learn.

Why this product is good

  • Native Java implementation avoids the need for language interop or JNI bridges to Python-based ML libraries
  • Simpler API design makes it more accessible for Java developers without extensive ML background
  • Documentation via GitBook suggests an organized, readable learning path for newcomers
  • Lightweight footprint can be beneficial for integrating into existing Java-based systems without heavy dependencies
  • Good fit for educational purposes or prototyping simple ML concepts within a Java codebase

Recommended for

  • Java developers who want to experiment with ML without learning Python
  • Small to medium projects requiring basic classification, regression, or clustering functionality
  • Students or educators teaching foundational ML concepts using Java
  • Teams with existing Java infrastructure who need lightweight ML integration without major architectural changes
  • Prototyping and proof-of-concept work rather than production-grade, large-scale ML systems

KMPShip videos

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Category Popularity

0-100% (relative to KMPShip and Easy ML for Java)

KMPShip

Easy ML for Java

Boilerplate
100 100%
Boilerplate
0% 0
Artifical Intelligence
0 0%
Artifical Intelligence
100% 100
Mobile App Builder
100 100%
Mobile App Builder
0% 0
Machine Learning
0 0%
Machine Learning
100% 100

Questions & Answers

As answered by people managing KMPShip and Easy ML for Java.

Which are the primary technologies used for building your product?

KMPShip's answer

Kotlin Multiplatform, Compose Multiplatform, Firebase, RevenueCat, Ktor, Koin, Room, and GitHub Actions for CI/CD.

How would you describe the primary audience of your product?

KMPShip's answer

Indie developers, small teams, and mobile engineers who want to build Android and iOS apps quickly using Kotlin Multiplatform.

Why should a person choose your product over its competitors?

KMPShip's answer

KMPShip gives you more than just boilerplate. It’s a complete, launch-ready foundation. It includes a paywall that converts, a polished onboarding flow, and a growing set of reusable UI components. You get a built-in design system, a clean architecture used in real-world apps, and everything already wired up: authentication, payments, notifications, local storage, and CI/CD. With KMPShip, you can focus on building your features instead of setting things up.

What makes your product unique?

KMPShip's answer

KMPShip combines the flexibility of Kotlin Multiplatform with the structure of a real production app. It’s not just a code starter, but a full setup with clean architecture, ready-to-use UI components, a working paywall, and an onboarding flow that fits real-world use cases. KMPShip helps you go from idea to income by giving you the tools to build, ship, and monetize your app faster.

What's the story behind your product?

KMPShip's answer

I've been building mobile apps for the past 15 years, across startups, agencies, and larger teams.

No matter the company or the project, I always found myself doing the same thing over and over: configuring dependencies, setting up auth, building UI foundations…

After doing this more times than I can count, I finally decided to stop reinventing the wheel. That's why I created KMPShip:

  • Save time and focus on the features
  • Skip the boring setup like auth, payments, store publishing, and more
  • Help developers like me grow their apps into something that earns

KMPShip is here to save you time and help you launch what matters.

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What are some alternatives?

When comparing KMPShip and Easy ML for Java, you can also consider the following products

KAppMaker - Develop iOS and Android apps with Kotlin Multiplatform boilerplate. Pre-configured features include authentication, in-app purchases, notification, showing ads, in-app review, logging, CI/CD, navigation and more.

ShipFlutter - Ship Everywhere with Flutter. Fast! You starter-kit to launch Android, iOS and Web apps with Flutter

ExpoShip - Ship your app in days, not weeks. The React Native boilerplate with all you need to build your app and make your first money online fast.

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