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Sharesight VS socketify.py

Compare Sharesight 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

Sharesight logo Sharesight

Online stock portfolio tracker that automatically tracks prices, dividends, performance and tax.

socketify.py logo socketify.py

Maybe the fastest web framework for Python and PyPy
  • Sharesight Landing page
    Landing page //
    2026-03-03
  • socketify.py Landing page
    Landing page //
    2023-09-24

Sharesight features and specs

  • Comprehensive Portfolio Tracking
    Sharesight supports a wide range of asset types, including stocks, ETFs, mutual funds, and even cryptocurrencies. This allows users to track all their investments in one place.
  • Automatic Dividend Tracking
    Sharesight automatically tracks dividends and distributions, which saves time and helps in accurate performance calculation.
  • Tax Reporting
    The platform provides detailed tax reporting, which can simplify the process of preparing taxes and ensure compliance with tax regulations.
  • Performance Benchmarking
    Users can benchmark their portfolio's performance against market indices to understand how well their investments are doing relative to the broader market.
  • Integration Capabilities
    Sharesight integrates with various popular financial tools and brokers, enabling seamless data import and export.
  • User-Friendly Interface
    The platform features an intuitive and user-friendly interface, making it accessible for both novice and experienced investors.

Possible disadvantages of Sharesight

  • Cost
    While Sharesight offers a free tier, many advanced features and higher asset tracking limits require a paid subscription, which might be costly for some users.
  • Limited Real-Time Data
    Sharesight does not offer real-time stock data, which can be a drawback for traders who need up-to-the-minute information.
  • Complexity for Small Investors
    The extensive range of features may be overwhelming for small investors or those with simpler investment needs.
  • Dependent on Data Feeds
    Sharesight relies on data feeds from various sources, which means that any inaccuracies or delays in these feeds can impact the reliability of the information displayed.
  • Geographical Limitations
    Certain features and support options may be more tailored to specific countries, potentially limiting their usefulness for international users.

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

Sharesight videos

+ Add

A MUST HAVE For Every Investor (US & Aus) | Sharesight Review

More videos:

  • Review - Best Way to Monitor Your Investment on Investnow with Sharesight | New Zealand
  • Review - Sharesight - Simply the best portfolio tracker for DIY investors

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 Sharesight and socketify.py)

Sharesight

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 Sharesight 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, 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.

Sharesight mentions (0)

We have not tracked any mentions of Sharesight yet. Tracking of Sharesight 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 Sharesight and socketify.py, you can also consider the following products

Snowball Analytics - Simple and powerful portfolio tracker for investors. Dividend tracker, portfolio performance and quick portfolio rebalancing. Supports thousands of stocks, funds and cryptocurrencies from all over the world.

Kubera - Protect your wealth

Portfolio Performance - Stock portfolio tracking

getquin - Track all your investments in one place

Yahoo! Finance - At Yahoo Finance, you get free stock quotes, up-to-date news, portfolio management resources, international market data, social interaction and mortgage rates that help you manage your financial life.

Empower - Our vision is to transform financial lives through advice, people and technology. Our mission is to empower financial freedom for all.

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