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Widin.io VS Easy ML for Java

Compare Widin.io VS Easy ML for Java and see what are their differences

JackHamr
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Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. ยป Base Details
  2. ยป Reviews
  3. ยป Alternatives

Widin.io logo Widin.io

The SaaS starter for hexagonal architecture

Easy ML for Java logo Easy ML for Java

The easiest way to start with Machine Learning in Java
  • Widin.io Landing page
    Landing page //
    2023-06-28

I've developed a SaaS starter that prioritizes best practices: - Backend built with hexagonal architecture - Frontend structured with the Refine framework

It offers a comprehensive set of features: ๐Ÿ”’ Multi-tenancy support ๐Ÿ’ณ Seamless integration with Stripe for payments ๐ŸŒ Infrastructure as Code for Render or Vercel deployment ๐Ÿ” User authentication and authorization ๐Ÿ”‘ Smooth sign-in and sign-up flows ๐Ÿ“ Easy creation of CRUD pages with filters

The tech stack includes Next Auth, Nest.js, Prisma, Zod and GraphQL.

Explore more at https://widin.io.

**Demo is at https://app.widin.io.

Not present

Widin.io

Website
widin.io
Pricing URL
Official Widin.io Pricing
$ Details
$420 / One-off (Unlimited projects for your team. One year of updates.)
Platforms
ReactJS NestJS GraphQL API Vercel PostgreSQL NextJS
Release Date
2023 June
Edit details

Easy ML for Java

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

Widin.io features and specs

  • Stripe Payments
  • Authentication
  • Authorization
  • Monorepo with PNPM and Tubo Build
  • GraphQL API and GraphQL Codegen
  • Hexagonal architecture
  • NestJS API
  • NextJS / React frontend
  • GitOps
  • Scalability

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

Category Popularity

0-100% (relative to Widin.io and Easy ML for Java)

Widin.io

Easy ML for Java

Application Builder
100 100%
Application Builder
0% 0
Machine Learning
0 0%
Machine Learning
100% 100
React
100 100%
React
0% 0
Java
0 0%
Java
100% 100

Questions & Answers

As answered by people managing Widin.io and Easy ML for Java.

What makes your product unique?

Widin.io's answer

We use the Refine framework to help you easily create advanced and organized frontend features.

On the backend, we structure the codebase using Hexagonal Architecture best practices. This approach is crucial for a SaaS platform to effectively deliver advanced features.

Why should a person choose your product over its competitors?

Widin.io's answer

Widin is the only starter that focuses on hexagonal architectures. It helps to start quickly but also to stay on the right track over time.

How would you describe the primary audience of your product?

Widin.io's answer

Startup CTO launching a new product.

What's the story behind your product?

Widin.io's answer

Having built several SaaS web apps from scratch, I developed over and over similar features. Trade-off between velocity and clean architecture are sometime made, while undesirable. Widin aims to provide a solution to that compromise.

Which are the primary technologies used for building your product?

Widin.io's answer

Next.js, React.js, Typescript, Refine, Next Auth, GraphQL, GraphQL Codegen, Nest.js, Passport, CASL, Zod, Prisma, PostgreSQL, Vercel, Render.

User comments

Share your experience with using Widin.io and Easy ML for Java. For example, how are they different and which one is better?
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What are some alternatives?

When comparing Widin.io and Easy ML for Java, you can also consider the following products

UseGravity.App - Build a Node.js & React app at warp speed with a SaaS boilerplate

Volca - SaaS boilerplate and starter kit built with Node.js and React

Serverless.page - Serverless SaaS is aiming to be the perfect starting point for your next React app to build full-stack applications. Save time and skip implementing authentication, payments, teams, etc.

supastarter - The boilerplate for your next web app built on top of Supabase and Next.js.

Nextacular - An open-source starter kit that will help you build full-stack multi-tenant SaaS platforms efficiently and help you focus on developing your core SaaS features.

SaaS Pegasus - The Pegasus SaaS boilerplate provides core features like user management, teams, subscription billing, APIs and more in a codebase that developers love.

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