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Snowball Analytics VS socketify.py

Compare Snowball Analytics 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

Snowball Analytics logo 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.

socketify.py logo socketify.py

Maybe the fastest web framework for Python and PyPy
  • Snowball Analytics Landing page
    Landing page //
    2022-09-14

Snowball Analytics is an investment tracking app for any thoughtful long-term investor. Get overview of all your investments in one place - portfolio performance, dividends, company fundamentals, benchmarking and more.

๐Ÿ“‹ Lose the spreadsheet โ€“ we make investment tracking easy and hassle-free

๐Ÿ’ฐ All your investments in one place - stocks, crypto, funds, real estate, etc.

๐ŸŒ Multiple currencies and stock exchanges

โฑ๏ธ Easy data import - link your brokerage account in a few minutes (US, EU, Asia, ...). 1000+ brokers supported

๐Ÿ“Š Benchmarking - compare your results with popular funds and indices

๐Ÿช™ Comprehensive dividend analytics, future dividends and our own rating of dividend companies

๐Ÿ–ฑ๏ธ One-click portfolio rebalancing

๐Ÿ“ˆ Company fundamentals

๐Ÿค Community - see how other investors are navigating their portfolio in current market conditions

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

Snowball Analytics

Website
snowball-analytics.com
Pricing URL
Official Snowball Analytics Pricing
$ Details
freemium $7.99 / Monthly (1 portfolio, automatic brokerage connection)
Platforms
Web
Release Date
2022 August
Edit details

socketify.py

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

Snowball Analytics features and specs

  • Number of portfolios
    10
  • Number of holdings
    Unlimited
  • Automatic brokerage connection
  • Stocks, Funds, Cryptocurrencies
  • Dividend calendar
  • Returns analytics
  • IRR calculations
  • Benchmarking
  • Portfolio rebalancing
  • Multiple currencies and stock exchnages
  • Custom investments (real estate, deposits)
  • Binance API support
  • Top dividend stocks

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

Snowball Analytics videos

+ Add

Snowball Analytics overview

socketify.py videos

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Category Popularity

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

Snowball Analytics

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 Snowball Analytics 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, Snowball Analytics seems to be a lot more popular than socketify.py. While we know about 33 links to Snowball Analytics, 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.

Snowball Analytics mentions (33)

  • Replacement for StockMarketEye?
    Https://snowball-analytics.com has categories, but about $150 a year for multiple portfolios. Source: almost 3 years ago
  • Portfolio rebalancing
    If you're contributing monthly, use those funds to top up. Otherwise, there are online tools you can use to get rebalancing very close. I use https://snowball-analytics.com/ but there are others I'm sure. Source: about 3 years ago
  • Website or app to track all retirement accounts?
    You can try Snowball Analytics. Have been using the free edition for a while now and its OK but its not as comprehensive as other tools. Source: about 3 years ago
  • Dividends across multiple brokerages
    You can use โ€œstock eventsโ€ or https://snowball-analytics.com to manually add your positions from all your brokers and see a total overview. Source: over 3 years ago
  • $150/month milestone! Still not buying schd and jepi (but added OKE and NEE)
    For trading/broker I use M1 Finance. The app on the screenshot is https://snowball-analytics.com/ but itโ€™s not a trading app, itโ€™s just to track dividends and stuff. Source: over 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 Snowball Analytics and socketify.py, you can also consider the following products

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

Kubera - Protect your wealth

getquin - Track all your investments in one place

Portfolio Performance - Stock portfolio tracking

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.

Beanvest - The best stock portfolio tracker for investors. Stop using spreadsheets to keep track of your investments.

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