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SheetDB VS socketify.py

Compare SheetDB 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

SheetDB logo SheetDB

Turn a Google Spreadsheet into a RESTful API

socketify.py logo socketify.py

Maybe the fastest web framework for Python and PyPy
  • SheetDB Landing page
    Landing page //
    2020-12-02

Transform google spreadsheet into a JSON API and use it as a data store in a matter of seconds. Create google spreadsheet, fill first row with column names, and the rest of data.

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

SheetDB

Website
sheetdb.io
Pricing URL
Official SheetDB Pricing
$ Details
freemium $29.99 / Monthly
Release Date
2017 January
Edit details

socketify.py

Website
github.com
Pricing URL
-
$ Details
-
Release Date
-
Edit details

SheetDB features and specs

  • Ease of Use
    SheetDB allows users to effortlessly connect and convert Google Sheets into a JSON API without requiring sophisticated programming skills.
  • Affordability
    It offers a cost-effective solution for managing data with various pricing tiers, including a free plan for small-scale applications.
  • Quick Setup
    The platform enables rapid integration by providing simple, step-by-step instructions to set up APIs quickly.
  • Scalability
    Users can efficiently manage large datasets as their applications grow, with seamless transitions between pricing plans.
  • Real-time Data
    SheetDB reflects real-time changes made in the Google Sheet, ensuring up-to-date information is accessible via the API.

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

SheetDB videos

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SheetDB concept

socketify.py videos

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Category Popularity

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

SheetDB

socketify.py

API Tools
100 100%
API Tools
0% 0
Python
0 0%
Python
100% 100
Spreadsheets
100 100%
Spreadsheets
0% 0
Web Development
0 0%
Web Development
100% 100

User comments

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Social recommendations and mentions

Based on our record, SheetDB should be more popular than socketify.py. It has been mentiond 9 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.

SheetDB mentions (9)

  • Google Sheets API pricing after the limit
    Can you tell me how an app like https://sheetdb.io/? An app like that must send thousands of requests every minute. Source: almost 5 years ago
  • I want to practice forms in html
    What I would do is to use 'no code' methods here and some services like this https://sheetdb.io/ that connects me to google sheet. Source: about 5 years ago
  • Trying to use the Google Sheets API by following instructions in "How to Automate the Boring Stuff with Python", but the instructions in the book don't match the what I see on the website. How do I generate an OAuth client ID?
    Good for you! I've actually read :) And for the future, you may get rid of the OAuth problems by using a third-party API. I recommend sheetdb.io. Here's a piece I wrote on this, you might find interesting: https://blog.sheetdb.io/google-spreadsheet-api-without-oauth-2-0-ffd572a06757. Source: over 5 years ago
  • Letting anyone use a script I wrote that has an API calls?
    Try using sheetdb.io - this app will handle your credentials in the background whereas you'll only need to disclose an endpoint in your script with an API key, but it's only to the particular spreadsheet to which you can set permission READ only, if you don't want to let others make any changes there. Source: over 5 years ago
  • Transferring data from Excel sheet onto different webpages on website
    There are many ways to do this these days. One way being uploading said file into google sheet, then use a service like https://sheetdb.io/ or https://sheety.co/ to turn it into an API. Boom, consumable REST API in seconds. Source: over 5 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 SheetDB and socketify.py, you can also consider the following products

Sheety - Turn any Google sheet into an API instantly, for free. Power websites, apps, or whatever you like, all from a spreadsheet. Changes to your spreadsheet update your API in realtime. Neat

SheetBest - Turn a Google SpreadSheet into a JSON Database API

Sheetsu - Turn Google Spreadsheet into API

Sheet2api - Turn any Spreadsheet into a API. No coding required.

Sheet 2 Site - Generate a website from ๐Ÿ“— Google Sheets

Api Spreadsheets - Instantly Use Your Spreadsheets as an API and Database

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