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socketify.py VS Wheelytics

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

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Contents:
  1. ยป Base Details
  2. ยป Reviews
  3. ยป Alternatives

socketify.py logo socketify.py

Maybe the fastest web framework for Python and PyPy

Wheelytics logo Wheelytics

Wheelytics automates your Wheel Strategy trading workflow โ€“ import, track, and analyze all your IBKR options trades in one beautiful dashboard.
  • socketify.py Landing page
    Landing page //
    2023-09-24
  • Wheelytics Live Demo Dashboard
    Live Demo Dashboard //
    2026-04-25

Wheelytics is your all-in-one dashboard for tracking the Options Wheel Strategy using data from Interactive Brokers (IBKR) โ€” automatically updated every day.

Group, track, and analyze your Covered Calls and Cash-Secured Puts with no spreadsheets required. Just connect your IBKR account and get fresh insights every morning โ€” automatically.

socketify.py

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

Wheelytics

Website
wheelytics.com
Pricing URL
Official Wheelytics Pricing
$ Details
paid Free Trial $7 / Monthly ("Unlimited symbols and trades", "Single IBKR account")
Startup details
Country
Latvia
City
Riga
Founder(s)
Sensomedia SIA
Employees
1 - 9
Edit details

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.

Wheelytics features and specs

  • Auto-Grouped Options Trades
    Wheelytics automatically groups your options trades by symbol and strike, making it easy to track the progress of your Wheel strategy positions.
  • Net Income & Performance Metrics
    See proceeds, commissions, and net income for each option trade โ€” all calculated and summarized in a clean, intuitive dashboard.
  • Seamless IBKR Flex Report Import
    Simply upload your Interactive Brokers Flex XML report and get instant insights without spreadsheets or manual formatting.

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

Analysis of Wheelytics

Overall verdict

  • Wheelytics appears to be a fleet/vehicle analytics and tracking platform aimed at helping businesses monitor and optimize their vehicle operations, but as I don't have verified, up-to-date information on this specific product, I can't confirm its current quality, reliability, or customer satisfaction with certainty. Prospective users should review current customer feedback, request a demo, and verify feature claims directly with the vendor before committing.

Why this product is good

  • Positioned as a specialized tool for vehicle/fleet data tracking and analytics
  • May offer dashboards for monitoring vehicle performance, usage, or maintenance needs
  • Could provide cost-saving insights through data-driven fleet management
  • Potentially useful for businesses looking to consolidate vehicle tracking into one platform

Recommended for

  • Small to medium businesses managing vehicle fleets
  • Logistics or delivery companies needing tracking and analytics
  • Fleet managers seeking data-driven decision-making tools
  • Businesses evaluating fleet software but should still conduct independent research and trials first

Category Popularity

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

socketify.py

Wheelytics

Web Development
100 100%
Web Development
0% 0
Investing
0 0%
Investing
100% 100
Websocket
100 100%
Websocket
0% 0
Finance
0 0%
Finance
100% 100

Questions & Answers

As answered by people managing socketify.py and Wheelytics.

Which are the primary technologies used for building your product?

Wheelytics's answer:

Next.js, PostgreSQL, Tailwind CSS

What makes your product unique?

Wheelytics's answer:

Wheelytics is purpose-built for retail options traders using the Wheel strategy. Unlike generic portfolio trackers, it auto-groups trades by symbol and strike, showing net cash, proceeds, and commissions in one place โ€” with seamless IBKR Flex Report integration.

Why should a person choose your product over its competitors?

Wheelytics's answer:

Most tools focus on stock portfolios or advanced Greeks. Wheelytics focuses on what Wheel traders care about: cashflow visibility, position grouping, and simple reporting. No spreadsheets, no complexity โ€” just clear insights.

How would you describe the primary audience of your product?

Wheelytics's answer:

Retail investors and semi-passive traders using the Wheel strategy (selling cash-secured puts and covered calls), primarily those trading through Interactive Brokers from the US and Europe.

What's the story behind your product?

Wheelytics's answer:

Wheelytics started as an internal tool built out of frustration with tracking Wheel trades in spreadsheets. After seeing value in grouping trades and automating cashflow insights, it evolved into a public-facing tool for fellow traders.

Who are some of the biggest customers of your product?

Wheelytics's answer:

Independent retail traders. Early-stage Wheel strategy enthusiasts. Self-directed IBKR investors

User comments

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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.

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

Wheelytics mentions (0)

We have not tracked any mentions of Wheelytics yet. Tracking of Wheelytics recommendations started around Apr 2025.

What are some alternatives?

When comparing socketify.py and Wheelytics, you can also consider the following products

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