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DoneThat VS socketify.py

Compare DoneThat VS socketify.py and see what are their differences

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

DoneThat logo DoneThat

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

socketify.py logo socketify.py

Maybe the fastest web framework for Python and PyPy
  • 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.

  • socketify.py Landing page
    Landing page //
    2023-09-24

DoneThat

Website
donethat.ai
Pricing URL
Official DoneThat Pricing
$ Details
paid Free Trial $4.0 / 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

socketify.py

Website
github.com
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

socketify.py features and specs

  • High Performance
    Socketify.py is designed for high scalability and performance, leveraging an efficient event loop and native extensions to handle a large number of concurrent connections efficiently.
  • WebSocket Support
    The library provides built-in support for WebSockets, making it suitable for real-time applications where persistent connections between client and server are necessary.
  • Asynchronous I/O
    Socketify.py is built on top of asynchronous I/O paradigms, allowing non-blocking operations that can improve the throughput of networked applications.
  • Ease of Use
    The library offers a clean and straightforward API with examples and documentation, which lowers the barrier to entry for developers who are new to network programming in Python.
  • Python Integration
    Being a Python library, socketify.py integrates well with existing Python applications and can be included as part of larger, multi-component systems.

Possible disadvantages of socketify.py

  • Limited Adoption
    As a relatively new or niche library, socketify.py might have a smaller user base and community compared to more established frameworks like Flask or Django, which could result in fewer community resources and third-party integrations.
  • Learning Curve
    For developers who are accustomed to synchronous programming paradigms, adapting to the asynchronous programming model of socketify.py may require an initial learning investment.
  • Documentation Depth
    While there is documentation, it might not be as extensive or comprehensive as those of more mature libraries, potentially requiring more experimentation or source code reading to fully grasp advanced features.
  • Potential Stability Issues
    Being less established, there might be undiscovered bugs or stability issues in production environments compared to long-standing Python networking libraries.
  • Ecosystem Limitations
    The library might lack some of the extensive third-party plugins or tools available in more popular frameworks, which could limit its extensibility.

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 socketify.py

Overall verdict

  • Socketify.py is a solid choice for developers seeking a high-performance web framework in Python, particularly for I/O-bound applications requiring speed comparable to frameworks in compiled languages, thanks to its use of uWebSockets under the hood.

Why this product is good

  • Built on uWebSockets, providing significant performance improvements over traditional Python web frameworks
  • Supports WebSockets natively, making it suitable for real-time applications
  • Lightweight and minimalistic design reduces overhead
  • Compatible with ASGI, allowing integration with existing Python async ecosystem
  • Active development and growing community support on GitHub
  • Good for building high-throughput APIs and services

Recommended for

  • Developers building real-time applications like chat apps or live notifications
  • Projects requiring high concurrency and low latency in Python
  • Teams looking to replace slower WSGI-based frameworks with something faster
  • Applications needing WebSocket support without heavy framework overhead
  • Microservices architectures where performance is critical
  • Python developers wanting an alternative to Node.js for performance-sensitive tasks

DoneThat videos

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DoneThat Walkthrough

socketify.py videos

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Category Popularity

0-100% (relative to DoneThat and socketify.py)

DoneThat

socketify.py

Productivity
100 100%
Productivity
0% 0
Websocket
0 0%
Websocket
100% 100
AI
100 100%
AI
0% 0
Python
0 0%
Python
100% 100

User comments

Share your experience with using DoneThat and socketify.py. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, socketify.py should be more popular than DoneThat. It has been mentiond 2 times 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 / 2 months ago

socketify.py mentions (2)

  • Show HN: Python framework is faster than Golang Fiber
    These "benchmarks" are useless, they're not testing anything real world except the performance of uWebsockets. There are copy errors all over the place. And then an advertisement: https://github.com/cirospaciari/socketify.py#briefcase-comme... Is this a professional framework that produces proper, real-world benchmarks and... - Source: Hacker News / over 3 years ago
  • This is how I started the development of the fastest ASGI and WSGI Server in TechEmPower Benchmarks
    After starting the project called socketify.py at https://github.com/cirospaciari/socketify.py, I got pretty good results and reviews, but many people asked if socketify.py could be used to create a WSGI and ASGI server. WSGI and ASGI have a lot of overhead, that's is why I choose not to use them in the first place, but adding an ASGI and WSGI server allows a lot of code already written to run faster! Source: over 3 years ago

What are some alternatives?

When comparing DoneThat and socketify.py, 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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