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Toasted Analytics VS Easy ML for Java

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

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Contents:
  1. » Base Details
  2. » Reviews
  3. » Alternatives

Toasted Analytics logo Toasted Analytics

Simple, cookie-free website analytics and event tracking

Easy ML for Java logo Easy ML for Java

The easiest way to start with Machine Learning in Java
  • Toasted Analytics Landing page
    Landing page //
    2020-05-05

Toasted Analytics is a simple, GDPR, CCPA & PECR compliant analytics tool for your website. We do not collect any personal information so there's no need to ask your visitors for consent.

Our focus is to make website analytics easy to understand. We provide a super-simple & clean dashboard, you don't have to be a scientist to understand what you're looking at.

There's no need to use bloated trackers which slow down your website. Our tracker file is less than 3 kb in size and is served to your website visitors by a super-fast CDN with more than 35 servers around the globe.

Not present

Toasted Analytics

Website
toastedanalytics.com
Pricing URL
Official Toasted Analytics Pricing
$ Details
paid Free Trial £2.99 / Monthly
Platforms
Web Browser REST API Firefox Google Chrome Safari
Release Date
2020 January
Edit details

Easy ML for Java

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

Toasted Analytics features and specs

  • Dashboards
    Yes, with ability to share publicly
  • Free Trial
    14 Days Free Trial
  • Event Tracking
  • API
  • Slack integration
  • Discord Integration
  • Dark Theme

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 Toasted Analytics and Easy ML for Java)

Toasted Analytics

Easy ML for Java

Analytics
100 100%
Analytics
0% 0
Artifical Intelligence
0 0%
Artifical Intelligence
100% 100
Tool
100 100%
Tool
0% 0
Machine Learning
0 0%
Machine Learning
100% 100

User comments

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What are some alternatives?

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

Fathom Analytics - Simple, trustworthy website analytics (finally)

Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.

Plausible.io - Plausible Analytics is a simple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics. Made and hosted in the EU, powered by European-owned cloud infrastructure 🇪🇺

Matomo - Matomo is an open-source web analytics platform

micro-analytics - Public analytics as a Node.js microservice 📈

Finteza - A brand-new analytics and marketing service with unique opportunities for optimizing conversion. Traffic quality and source analysis, advanced sales funnels, flexible targeting settings, effective marketing campaign management and much more.

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