Software Alternatives, Accelerators & Startups
Register | Login

Exstats VS Easy ML for Java

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

Grapple
Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI sponsored
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. » Base Details
  2. » Reviews
  3. » Alternatives

Exstats logo Exstats

Analytics for Chrome, Edge, and Firefox extensions in one dashboard. Track installs, ratings, reviews, and search rankings across 360,000 extensions, updated daily.

Easy ML for Java logo Easy ML for Java

The easiest way to start with Machine Learning in Java
  • Exstats Store Trends
    Store Trends //
    2026-05-16
  • Exstats Product Dashboard
    Product Dashboard //
    2026-05-16
  • Exstats Extension Explorer
    Extension Explorer //
    2026-05-16
  • Exstats Keyword Tracking
    Keyword Tracking //
    2026-05-16

Most browser extension developers ship the same product to Chrome, Edge, and Firefox, then try to track its performance across three separate developer dashboards, three different review feeds, and three sets of keyword rankings. The data is fragmented, history is short, and there is no easy way to compare a release against a competitor over time.

Exstats fixes this by grouping the Chrome, Edge, and Firefox versions of an extension into one product view, alongside the competitors you want to watch. It tracks daily changes in installs, ratings, reviews, category rank, and search rank, then keeps up to a full year of history so weekly and monthly trends are visible at a glance. Email and Slack alerts fire on rating drops, rank shifts, and competitor updates so a regression does not sit unnoticed for a week.

Beyond your own products, the Extension Explorer indexes 360,000+ extensions with 30+ searchable fields and exportable CSV or XLSX, the Keyword Tracker suggests AI-generated keyword ideas and tracks rank by store, and the Store Trends dashboard reports category growth, rating distributions, and review activity across each store.

Not present

Exstats features and specs

  • Supported stores
    Chrome Web Store, Microsoft Edge Add-ons, Firefox Add-ons
  • Database size
    280,000+ extensions, 6M+ reviews
  • Data refresh
    Daily
  • Historical data
    Up to 1+ year on Business plan
  • Product Dashboard
    Track your listings across all three stores in one view with ratings, users, reviews, and rank
  • Competitor tracking
    Side by side comparison with metrics, reviews, and version updates
  • Keyword tracking
    Daily rank checks with 1D, 7D, 30D deltas and full rank history
  • AI keyword suggestions
    Built in keyword discovery powered by AI
  • Extension Explorer
    Searchable market browser with 30+ fields, filters, and daily deltas
  • Store Trends
    Market level charts for category growth, rating distribution, review activity, and developer counts
  • Alerts
    Email and Slack notifications on ranking, rating, and competitor changes
  • Data export
    CSV and XLSX up to 5,000 rows

Easy ML for Java features and specs

No features have been listed yet.

Analysis of Exstats

Overall verdict

  • Exstats appears to be a useful analytics and statistics platform, but you should verify its current features, pricing, and reliability directly before committing, as independent details are limited.

Why this product is good

  • Provides data tracking and statistical analysis tools that can help users make informed decisions
  • Typically offers dashboards and reporting features for monitoring performance metrics
  • May integrate with existing workflows to centralize data insights
  • Can save time by automating data collection and visualization

Recommended for

  • Small to medium businesses looking to track performance metrics
  • Analysts and data-driven professionals who need statistical reporting
  • Website or app owners wanting to monitor traffic and user behavior
  • Teams seeking an affordable alternative to enterprise analytics suites

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 Exstats and Easy ML for Java)

Exstats

Easy ML for Java

Competitor Analysis
100 100%
Competitor Analysis
0% 0
Machine Learning
0 0%
Machine Learning
100% 100
Data Analytics
100 100%
Data Analytics
0% 0
Java
0 0%
Java
100% 100

Questions & Answers

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

What makes your product unique?

Exstats's answer

Exstats treats an extension as one product across stores, not as three separate listings on three sites. The Chrome, Edge, and Firefox versions sit in one row, and history, reviews, alerts, and competitor data flow from there.

What's the story behind your product?

Exstats's answer

Exstats started because developers shipping browser extensions kept running into the same wall. The Chrome Web Store, Edge Add-ons, and Firefox Add-ons each give publishers a siloed view with short history, no competitor data, and no way to compare a release against a rival over time. Teams that maintained extensions on more than one store ended up checking three dashboards a day and keeping competitor numbers in spreadsheets. We built Exstats so an extension and its store versions live in one place, with daily history, alerts, and competitor tracking built in.

Why should a person choose your product over its competitors?

Exstats's answer

Unified multi-browser view. Exstats is the only dashboard that groups the Chrome, Edge, and Firefox versions of an extension into one product, with shared history and shared alerts. Most analytics tools cover only the Chrome Web Store, or split the three stores across separate sites.

Full year of daily history. Stores show current numbers and a short trail. Exstats keeps daily snapshots for up to a year so weekly and monthly trends, rating regressions, and competitor launches are visible at a glance.

Reviews from every store in one table. Chrome, Edge, and Firefox reviews sit in one sortable, filterable table, so a developer can read a week of feedback without rotating between three dashboards.

Keyword tracking with AI suggestions. Search rank is tracked per store with daily change indicators, and the keyword tool suggests new keywords from competitor listings rather than expecting the developer to bring a complete list.

How would you describe the primary audience of your product?

Exstats's answer

Exstats is built for the people shipping and growing browser extensions.

The core audience is independent extension developers and small product teams who need one place to watch installs, ratings, reviews, and keyword rank for their extensions, on whichever stores they publish to.

A second audience is extension growth and marketing specialists who track competitor launches, rating shifts, and category trends on behalf of clients and need a single view across Chrome, Edge, and Firefox rather than three separate workflows.

A third audience is product and engineering teams at companies whose extension is a meaningful acquisition or retention surface, who need daily alerts, exportable data, and API access for internal dashboards.

User comments

Share your experience with using Exstats and Easy ML for Java. For example, how are they different and which one is better?
Log in or Post with

What are some alternatives?

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

ChromeStats - Compare and analyze Chrome extensions and Android Apps

ExtPose - Optimize your Chrome extension to get more installs

Extension Ranker - Boost your Chrome Extension ranking with the help of Extension Ranker — driving more impressions, installs, and sustainable user growth.

CRX4Chrome - An alternative source of extensions for Chromium based browsers.

CRX Extractor - Get any Chrome Extension source code. Learn and hack!

AppBrain - Grow your app business with AppBrain: Monetize, advertise and analyze Android apps

Loading...