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DoneThat VS Easy ML for Java

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

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

DoneThat logo DoneThat

DoneThat is the fully automated AI time tracker and coach that helps you get more productive without manual logging.

Easy ML for Java logo Easy ML for Java

The easiest way to start with Machine Learning in Java
  • DoneThat Automatic calendar reconstruction
    Automatic calendar reconstruction //
    2026-06-11
  • DoneThat Automatic task categorization
    Automatic task categorization //
    2026-06-11
  • DoneThat Proactive outreach
    Proactive outreach //
    2026-06-11

DoneThat automatically tracks all work and uses this context to boost your productivity: Automated timesheets, long-term memory for AIs, proactive coaching, and social sharing for accountability and remote trust. DoneThat is built privacy-first, cross-platform, and takes five minutes to set up.

Not present

DoneThat

Website
donethat.ai
Pricing URL
Official DoneThat Pricing
$ Details
paid Free Trial $4 / Monthly
Platforms
Windows MacOS Linux Chrome OS Google Chrome Web
Release Date
2025 April
Startup details
Country
Netherlands
City
Amsterdam
Founder(s)
Christoph Hartmann
Employees
1 - 9
Edit details

Easy ML for Java

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

DoneThat features and specs

  • Privacy-First Design
    Based in Europe, learn more at https://donethat.ai/data
  • Automatic Time Tracking
    AI automatically detects what you're working on
  • Proactive Chat
    Don, DoneThat's agent, proactively reaches out

Easy ML for Java features and specs

No features have been listed yet.

Analysis of DoneThat

Overall verdict

  • DoneThat.ai appears to be a productivity/work-tracking tool designed to automatically log and summarize daily work activities, but I don't have verified, up-to-date information confirming its current features, pricing, or user reviews, so I can't give a definitive quality assessment.

Why this product is good

  • Automates the tedious task of tracking daily accomplishments, which can save time for professionals and teams
  • Potentially useful for generating standup updates, performance reviews, or work logs without manual effort
  • If it integrates with common tools (Slack, GitHub, calendars, etc.), it could reduce context-switching
  • Early-stage AI productivity tools often iterate quickly based on user feedback, which may mean rapid improvements

Recommended for

  • Remote or hybrid teams needing automated work-tracking for standups or reports
  • Freelancers or consultants who need to document billable hours or deliverables
  • Managers looking for lightweight visibility into team activity without micromanaging
  • Individuals who want to reduce time spent on self-reporting and status updates
  • Users should verify current reviews, security practices, and pricing directly on the site before committing, as I cannot confirm live details

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

DoneThat videos

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DoneThat Walkthrough

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 DoneThat and Easy ML for Java)

DoneThat

Easy ML for Java

AI
100 100%
AI
0% 0
Java
0 0%
Java
100% 100
Productivity
100 100%
Productivity
0% 0
Artifical Intelligence
0 0%
Artifical Intelligence
100% 100

User comments

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Social recommendations and mentions

Based on our record, DoneThat seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

DoneThat mentions (1)

  • Ask HN: What are you working on? (June 2026)
    For most people, time is more valuable than money, yet we obsess over budgets and never look into time spent. I think that's because time tracking is hard and annoying, that's why I made it "set and forget" instead of requiring a new habit. https://donethat.ai. - Source: Hacker News / 3 months ago

Easy ML for Java mentions (0)

We have not tracked any mentions of Easy ML for Java yet. Tracking of Easy ML for Java recommendations started around Jan 2023.

What are some alternatives?

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

Hubstaff - Integrated time tracking, productivity metrics, and payroll for your distributed team.

RescueTime - Time management software that shows you how you spend your time & provides tools to help you be more productive.

Rize - Rize is a time tracker that makes you more productive.

screenpipe - AI powered by your screen and microphone

Rewind - Rewind Backups is a top-rated cloud-to-cloud backup solution for SaaS applications. Back up, restore, and copy the critical information stored in your SaaS applications.

Toggl - Toggl is an online time tracking tool. It features 1-click time tracking and helps you see where your time goes. Free and paid versions are available.

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