Software Alternatives, Accelerators & Startups

OwnTracks VS socketify.py

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

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OwnTracks logo OwnTracks

Cross-platform location sharing

socketify.py logo socketify.py

Maybe the fastest web framework for Python and PyPy
  • OwnTracks Landing page
    Landing page //
    2022-12-27
  • socketify.py Landing page
    Landing page //
    2023-09-24

OwnTracks features and specs

  • Open Source
    OwnTracks is open-source, allowing users to review and modify the code for customization and security audits.
  • Privacy-centric
    OwnTracks allows users to host their own server, giving them control over their location data and who can access it.
  • Cross-Platform Compatibility
    The app is available across multiple platforms, including iOS and Android, making it accessible for a wide range of users.
  • Integration Capabilities
    OwnTracks offers integration with various applications and services such as Home Assistant and Node-RED.
  • Cost-effective
    The core application is free to use, which can be beneficial for individuals or organizations looking for a budget-friendly solution.

Possible disadvantages of OwnTracks

  • Complex Setup for Beginners
    Users need to set up their own server for complete control, which can be complex and challenging for non-technical individuals.
  • Limited Technical Support
    As an open-source project, support primarily comes from the community, which might not be as immediate or comprehensive as commercial options.
  • User Interface
    The app's user interface may not be as polished or intuitive as commercial counterparts, which could impact user experience.
  • Battery Consumption
    Continuous GPS tracking can lead to higher battery usage on mobile devices, which might be a concern for users.
  • Manual Updates
    Unlike commercial solutions, users might need to manually update or modify the system as new features or security enhancements are released.

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 OwnTracks

Overall verdict

  • Yes, OwnTracks is a good option for those who prioritize privacy and wish to have control over their location data. Its open-source nature and compatibility with various platforms make it a flexible and powerful tool for personal location tracking.

Why this product is good

  • OwnTracks is a reliable open-source application that allows users to track their own locations and share it securely. It's popular due to its emphasis on privacy, as all location data is stored on private servers or chosen brokers, rather than on third-party servers. Users appreciate its extensive configurations, integration with other services like Home Assistant, and the ability to control data sharing.

Recommended for

    OwnTracks is recommended for privacy-conscious individuals, tech-savvy users who want to self-host their data, and those who are integrated with smart home or automation systems. Itโ€™s also suitable for groups or families who wish to keep track of each other's locations securely and privately.

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

OwnTracks videos

How To Get Started with MQTT and Owntracks

socketify.py videos

No socketify.py videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to OwnTracks and socketify.py)
Mobile OS
100 100%
0% 0
Python
0 0%
100% 100
Time Tracking
100 100%
0% 0
Web Development
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, OwnTracks seems to be a lot more popular than socketify.py. While we know about 39 links to OwnTracks, we've tracked only 2 mentions of socketify.py. 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.

OwnTracks mentions (39)

  • No reasonable expectation of privacy in one's Google location data
    I've personally heard of https://owntracks.org/ though I haven't been able to try it myself. Seems like a location history and see where other members of your instance are. - Source: Hacker News / about 2 years ago
  • Any alternatives to Life360/FindMy?
    The only private alternatives are going to be self hosted and will require some technical skill. See owntracks for details. Source: about 3 years ago
  • Trying to make a pair of compasses that always point to each other
    On your side, you need some way to be tracked. Easy solution is an app on your phone, I like OwnTracks as a privacy-respecting option. Source: over 3 years ago
  • Privacy-focused Vehicle Tracking Tool?
    Sounds like owntracks with a android headunit https://owntracks.org/. Source: over 3 years ago
  • Updating location on Google maps
    OwnTracks is app people can install on their phones that you can setup to send live gps coordinates back to your web server. Source: over 3 years ago
View more

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 OwnTracks and socketify.py, you can also consider the following products

Glympse - Glympse is the easy way to safely share your location in realtime. No sign-up needed.

PhoneTrack - Nextcloud app to create tracking sessions to display phones position in real time and export activity to gpx.

locus - Share your location end-to-end encrypted on decentralized servers using Nostr.

iSharing - iSharing is an app that provides a real-time GPS location tracking service for family, kids and closed friends.

Fog of World - Go around the world and remember everywhere you have been in your whole life journey!

uMobix - uMobix is a leading provider of child monitoring and parental control software, and easy solutions make it easy for parents to keep their children safe online.