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Polygon.io VS socketify.py

Compare Polygon.io 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

Polygon.io logo Polygon.io

Polygon.io offers streaming realtime data for stocks/equities, ETFs, Indecies and Forex/Currencies including crypto currencies. Our Real-Time Stock Data APIs help you build the future on fintech.

socketify.py logo socketify.py

Maybe the fastest web framework for Python and PyPy
  • Polygon.io Landing page
    Landing page //
    2023-08-18
  • socketify.py Landing page
    Landing page //
    2023-09-24

Polygon.io features and specs

  • Comprehensive Data Coverage
    Polygon.io offers a wide range of financial data, including stocks, forex, and crypto, making it a one-stop solution for financial data needs.
  • Real-time Data
    The platform provides real-time data feeds, which are crucial for traders and financial analysts to make timely decisions.
  • Developer-friendly API
    Polygon.io has a well-documented and easy-to-use API, which simplifies the integration process for developers looking to access financial data.
  • Historical Data Access
    Users can access extensive historical data through the platform, enabling backtesting and historical analysis of financial instruments.
  • Customizable Subscription Plans
    Polygon.io offers various subscription tiers, allowing users to select the level of access that best fits their needs and budget.

Possible disadvantages of Polygon.io

  • Cost
    For some users, the subscription fees may be considered expensive, especially for smaller businesses or individual investors.
  • Data Limits on Free Tier
    The free access tier has limitations on data availability and usage, which might be restrictive for more demanding applications.
  • Learning Curve
    Despite being developer-friendly, there may still be a learning curve for users who are not familiar with APIs or need specific data integrations.
  • Dependence on Internet Connectivity
    As an online service, uninterrupted access to Polygon.io's data depends on a stable internet connection.
  • Potential Overwhelming Features
    With an extensive range of features and data sets, beginners might find the platform overwhelming without clear guidance or use-case examples.

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

Polygon.io videos

+ Add

Get Stock Pricing Data From The Polygon.io API For Algo-Trading Using Python

socketify.py videos

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Category Popularity

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

Polygon.io

socketify.py

Finance
100 100%
Finance
0% 0
Python
0 0%
Python
100% 100
Investing
100 100%
Investing
0% 0
Web Development
0 0%
Web Development
100% 100

User comments

Share your experience with using Polygon.io 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, Polygon.io seems to be a lot more popular than socketify.py. While we know about 85 links to Polygon.io, 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.

Polygon.io mentions (85)

  • Build an Unusual Options Activity Scanner With Python and Free Data
    Polygon.io gives you 5 API calls/minute on the free tier. Thatโ€™s rough for options scanning since you need one call per expiration per symbol. Iโ€™d only recommend this if youโ€™re scanning fewer than 20 symbols. - Source: dev.to / 4 months ago
  • Latency Wars: The Architecture Of A Real-Time Trading Game
    The market data will be streamed from polygon.io. All trades should be handled by the Game Engine, so in the simplest form, the architecture looks like this:. - Source: dev.to / 11 months ago
  • Driving Smarter Decisions: Using Share Price APIs for Data-Driven Marketing
    Here are some valuable resources for developers exploring share price API solutions: Alpha Vantage API: A free platform offering extensive stock market data, including historical trends and real-time updates. Yahoo Finance API: A widely used service providing comprehensive financial data. Polygon.io: A robust tool for real-time market data and aggregated information across various financial markets. IEX Cloud:... - Source: dev.to / over 1 year ago
  • The use of API on a web app, considered individual or commercial use?
    I am building a web app, and I would like to use the polygon.io API on the back-end to forecast the market sentiment. The individual upgrade is $200, while business upgrade would cost $2000. Would my use of the API considered personal or commercial? Source: over 2 years ago
  • ChatGPT is going to revolutionize the stock market (with data)
    It's worth mentioning that we use polygon.io to provide market information, which has the ability to specify time frames for data. Each ChatGPT call will have the appropriate information at the time it should. We also use a temperature of 0, as we want idempotent predictions. Source: about 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 Polygon.io and socketify.py, you can also consider the following products

Alpha Vantage - Alpha Vantage offers free APIs in JSON and CSV formats for realtime and historical stock and forex data, digital/crypto currency data and over 50 technical indicators.

Financial Modeling Prep - Access all stocks discounted cash flow statements, market price, stock markets news, and learn more about Financial Modeling. Learn M&A, LBO, DCF, Comps, and Financial Statement Modeling thought concrete examples

Twelve Data - The simplest and most effective way to access both realtime and historical stock, forex, cryptocurrency data, and over 100 technical indicators.

Alpaca - Open links from Slack via desktop apps: Notion, Spotify, Zoom, Miro, Telegram, Airtable, Figma and VK.

Alpaca Trading API - Simple REST API for commission-free stock trading

Finage - Finage is a next-generation market data feeds provider. We are providing 60.000+ financial data feeds in real-time and historical via APIs and WebSockets such as; Global Stock, Forex, Cryptocurrency, ETFs, Indices, and financial statements, and more.

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