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LiveLOOK VS socketify.py

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

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

LiveLOOK logo LiveLOOK

On June 20, 2014 Oracle announced that it signed an agreement to acquire LiveLOOK to strengthen Oracle Service Cloud with leading co-browse functionality to improve customer experiences through connected real-time engagements.

socketify.py logo socketify.py

Maybe the fastest web framework for Python and PyPy
  • LiveLOOK Landing page
    Landing page //
    2019-05-08
  • socketify.py Landing page
    Landing page //
    2023-09-24

LiveLOOK features and specs

  • Real-Time Assistance
    LiveLOOK provides real-time co-browsing functionality allowing customer service representatives to visually assist customers, making support more efficient and effective.
  • Improved Customer Experience
    By enabling agents to guide users through complex processes on a shared screen, LiveLOOK enhances the overall customer experience and satisfaction.
  • Increased First Contact Resolution
    The detailed visual support facilitates quicker problem-solving, often resolving issues in the initial contact itself, thus improving first contact resolution rates.

Possible disadvantages of LiveLOOK

  • Privacy Concerns
    Users might be hesitant to share their screens due to privacy concerns, which can limit the adoption and effectiveness of the service.
  • Technical Limitations
    Depending on the customer's internet speed and device compatibility, the performance of LiveLOOK might be adversely affected, resulting in a poor user experience.
  • Cost Considerations
    For businesses, implementing co-browsing solutions like LiveLOOK could entail significant costs, including subscription fees and potential infrastructure upgrades.

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 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

Category Popularity

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

LiveLOOK

socketify.py

Visual Collaboration
100 100%
Visual Collaboration
0% 0
Python
0 0%
Python
100% 100
Online Meetings
100 100%
Online Meetings
0% 0
Web Development
0 0%
Web Development
100% 100

User comments

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Social recommendations and mentions

Based on our record, socketify.py seems to be more popular. 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.

LiveLOOK mentions (0)

We have not tracked any mentions of LiveLOOK yet. Tracking of LiveLOOK recommendations started around Mar 2021.

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

Samesurf - Samesurf is a patented, real time collaboration platform that enables multiple people to interact with the same online experiences in real time from any device or browser without installs or coding.

Surfly - Simple, Fast, and Secure Co-browsing

Acquire.io - Acquire.io is a multi-channel customer support platform designed to provide real-time customer support to customers.

Copointer.com - Copointer is technology for co-browsing on your website, that will help to improve your customer support and to be on the same page with your client.

Cobrowse.io - Screenshare and remote control built into Android & iOS apps

Upscope Screen Sharing for Intercom - No-downloads screen sharing fully integrated with Intercom.

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