Software Alternatives, Accelerators & Startups

GoodBarber VS Easy ML for Java

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

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GoodBarber logo GoodBarber

GoodBarber is an all-in-one, no-code platform to build native iOS, Android, and Progressive Web Apps — with design, hosting, CMS, push notifications, and mobile e-commerce all included.

Easy ML for Java logo Easy ML for Java

The easiest way to start with Machine Learning in Java
  • GoodBarber
    Image date //
    2026-06-11
  • GoodBarber
    Image date //
    2026-06-11

GoodBarber is an all-in-one, no-code platform for building native iOS and Android apps — plus Progressive Web Apps — without writing a line of code.

Everything is built in, so you create, publish, and run your app from a single back-office:

  • Design tools and templates
  • Hosting
  • CMS (articles, videos, podcasts, agenda, maps)
  • User management and members' areas
  • Push notifications
  • Mobile e-commerce, with 0% commission on in-app sales

Two configurations cover most projects:

  • Content Apps — publish and engage an audience (media, creators, communities, education).
  • eCommerce Apps — sell on mobile (online stores, restaurants, click & collect, local delivery).

In business since 2011, with apps downloaded every 4 seconds across 152 countries.

Not present

GoodBarber

$ Details
freemium €30 / Monthly
Release Date
2011 November
Startup details
Country
France
State
Corsica
City
Ajaccio
Employees
20 - 49

GoodBarber features and specs

  • Customization
    GoodBarber offers extensive design and customization options, allowing users to create a unique and visually appealing app that aligns with their brand.
  • No Coding Required
    With a user-friendly interface and drag-and-drop builder, GoodBarber enables individuals without technical skills to build and manage their own apps.
  • Multi-Platform Support
    GoodBarber allows users to create apps for both iOS and Android platforms, ensuring a wider reach for the audience.
  • Advanced Features
    The platform includes advanced features like push notifications, custom forms, loyalty programs, and social media integration, enhancing the app's functionality.
  • Regular Updates
    GoodBarber provides regular updates to the platform, ensuring that the apps built on it are up-to-date with the latest technology and security standards.
  • Help and Support
    Users have access to comprehensive support resources, including documentation, tutorials, and a responsive customer support team.

Easy ML for Java features and specs

No features have been listed yet.

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

GoodBarber videos

GoodBarber V4 Review - Still One Of The Best?

More videos:

  • Review - Mobiloud vs GoodBarber, what's the difference? | 2020
  • Review - GoodBarber Review - Is it any good?

Easy ML for Java videos

No Easy ML for Java videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to GoodBarber and Easy ML for Java)
Mobile App Builder
100 100%
0% 0
Artifical Intelligence
0 0%
100% 100
Mobile App Dev Platform
100 100%
0% 0
Machine Learning
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare GoodBarber and Easy ML for Java

GoodBarber Reviews

THE BEST 34 APP DEVELOPMENT SOFTWARE IN 2022 LIST
GoodBarber is a software editor who develops a content management system to create native apps for iPhone and Android. Unify your web presence in a single app, and engage with your audience. Build and distribute a Beautiful App on the App Store and Google Play. GoodBarber puts a strong focus on design. Through an intuitive interface, users can customise their apps with fine...

Easy ML for Java Reviews

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What are some alternatives?

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

Bizness Apps - Create your own app or become a reseller and build apps for others

Dropsource - Mobile development platform for building native iOS & Android apps

BuildFire - BuildFire is the easiest way for small businesses to build a mobile app in a matter of minutes for iOS and Android.

Siberian CMS - Siberian is an Open-Source and Free App Maker. Unlimited Push Notifications. Unlimited features. Fully Customizable. Download it and build your own app now!

AppyPie AppMakr - AppMakr is a browser-based platform designed to make creating your own iPhone app quick and easy.

Shoutem - Shoutem is a platform to build, publish, and manage native apps with ease for those who want to build apps, but have no experience with coding.