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Kimono VS socketify.py

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

HasData
HasData is a top web scraping platform for developers and enterprises. It delivers structured, real-time data from the web using scalable APIs and no-code tools, removing the need to manage proxies, browsers, or anti-bot systems. featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Kimono logo Kimono

The clove shop is well-established drapery of the gate of the tiger. Other than fabrics for kimono sale, I meet various requests concerning the sum commencing with a dressing classroom, a kimono rental, recycling.

socketify.py logo socketify.py

Maybe the fastest web framework for Python and PyPy
  • Kimono Landing page
    Landing page //
    2021-09-15
  • socketify.py Landing page
    Landing page //
    2023-09-24

Kimono features and specs

  • Ease of Use
    Kimono provides a user-friendly interface that allows users to easily create APIs from web data without requiring advanced programming skills.
  • Speed
    The tool allows quick extraction of web data, enabling users to generate APIs in a matter of minutes.
  • No Coding Required
    Users can generate APIs without writing any code, making it accessible to non-developers and reducing development time.
  • Cloud-Based
    Since Kimono is a cloud-based service, it eliminates the need for local installations or maintenance of software.
  • Data Scheduling
    Kimono offers data scheduling features, which allow users to set up automatic data extraction at regular intervals.

Possible disadvantages of Kimono

  • Service Discontinuation
    Kimono Labs was acquired by Palantir and has ceased operations, making the service unavailable for new users.
  • Scalability
    As a no-code solution, Kimono may not be suitable for large scale or highly specialized data scraping needs which may require more advanced customization.
  • Limited Data Structure
    The tool may struggle with complex or deeply nested data structures, limiting its usefulness for certain web data extraction tasks.
  • Dependency
    Reliance on a third-party service for critical data extraction tasks can be a risk if the service experiences downtime or other issues.
  • Security Concerns
    Sending web data to an external service raises potential security and privacy concerns, particularly when dealing with sensitive information.

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 Kimono

Overall verdict

  • Overall, Kimono Labs was considered a good choice for non-technical users and even some developers who needed a quick, reliable tool for web scraping tasks. However, it's important to note that Kimono Labs was acquired by Palantir in 2016 and subsequently shut down, so it's no longer available for use.

Why this product is good

  • Kimono Labs provided a web scraping tool that allowed users to automate data extraction from websites without any coding knowledge. It was appreciated for its ease of use, intuitive interface, and the ability to quickly create APIs from web data. This made it ideal for users who needed to pull data from the web regularly without engaging in complex programming tasks.

Recommended for

    Originally, Kimono Labs was recommended for journalists, researchers, marketers, and data enthusiasts who needed a straightforward way to gather and analyze web data without extensive technical skills. Professionals with a focus on data aggregation from multiple sources also found it beneficial before its discontinuation.

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

Kimono videos

+ Add

What is the Japanese Kimono and How to Add it To Your Streetwear Fits

More videos:

  • Review - Amazon FINDS! Kimono Review!
  • Review - COMFY TECHWEAR - Enfin Leve Aldatze Pants & Larri Kimono REVIEW

socketify.py videos

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

Add video

Category Popularity

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

Kimono

socketify.py

Web Scraping
100 100%
Web Scraping
0% 0
Python
0 0%
Python
100% 100
Data Extraction
100 100%
Data Extraction
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 should be more popular than Kimono. 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.

Kimono mentions (1)

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

import.io - Import. io helps its users find the internet data they need, organize and store it, and transform it into a format that provides them with the context they need.

Apify - Apify is a web scraping and automation platform that can turn any website into an API.

Data Miner - Data Miner is a Google Chrome extension that helps you scrape data from web pages and into a CSV file or Excel spreadsheet.

Crawlera - The smartest proxy for web scraping that never gets blocked

Sitebulb - Crawl and visualize your website structure

Octoparse - Octoparse provides easy web scraping for anyone. Our advanced web crawler, allows users to turn web pages into structured spreadsheets within clicks.

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