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Trademetria VS socketify.py

Compare Trademetria 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

Trademetria logo Trademetria

Trading journal for traders and investors.

socketify.py logo socketify.py

Maybe the fastest web framework for Python and PyPy
  • Trademetria Landing page
    Landing page //
    2023-05-08
  • socketify.py Landing page
    Landing page //
    2023-09-24

Trademetria features and specs

  • Comprehensive Tracking
    Trademetria offers robust tracking of trades, allowing users to easily manage and review their performance across different accounts and brokers.
  • User-Friendly Interface
    The platform is designed with a clean and intuitive interface, making it accessible for traders of all experience levels to navigate their data and tools.
  • Multi-Device Access
    Trademetria provides accessibility across various devices, ensuring users can access their trading information on-the-go via web and mobile applications.
  • Detailed Analytics
    The software delivers in-depth analytics and reports, helping traders identify trends, strengths, and weaknesses in their trading strategies.

Possible disadvantages of Trademetria

  • Learning Curve
    Despite an intuitive interface, there can be a learning curve for users unfamiliar with trading software, requiring time to optimize usage of all features.
  • Subscription Cost
    While offering a range of features, Trademetria requires a subscription, which may be a consideration for budget-conscious users.
  • Limited Free Version
    The free version of Trademetria comes with limitations on the number of trades and features accessible compared to the paid subscriptions.
  • Integration Limitations
    Some users might find limitations in platform integrations with specific brokers or third-party applications, potentially affecting seamless data import.

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

Trademetria videos

+ Add

Trading Journal Tour - Trademetria

More videos:

  • Review - Trading journal analysis using Trademetria

socketify.py videos

No socketify.py videos yet. You could help us improve this page by suggesting one.

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Category Popularity

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

Trademetria

socketify.py

Trading
100 100%
Trading
0% 0
Python
0 0%
Python
100% 100
Finance
100 100%
Finance
0% 0
Web Development
0 0%
Web Development
100% 100

User comments

Share your experience with using Trademetria 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, Trademetria should be more popular than socketify.py. It has been mentiond 20 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.

Trademetria mentions (20)

  • I don't pay attention to Greeks at all. Entirely worthless
    The easiest way for a retail guy like you to publicly show performance is to hook up your account to a website like https://trademetria.com/ which tracks it then you can release it public without any personal information being released to the public. These sites also are auditing your returns in the process. So you kill two birds with one stone. Source: about 3 years ago
  • Portfolio Tracking
    Tradervue isn't automated and it looks like it isn't being updated in years. Check out trademetria.com . Syncs with tos and other brokers. Source: over 3 years ago
  • What paid trading journals do you guys use?
    You can try trademetria.com, has many options features including tracking spreads and treating them as one trade not a bunch of separate ones. Tracks cost basis, open pnl and many options related filtering/reporting capabilities. Works with pretty much every US options broker. Source: over 3 years ago
  • Trading Journal recommendation
    a few options comes to mind... kinfo.com, trademetria.com, tradebench.com, all with great free plans. Source: over 3 years ago
  • Looking for a new journaling platform.
    I think you can't find it because you are looking for a trading journal. Online cloud journal might give you some weird search results. There are too many out there. trademetria.com , tradersync and tradervue are the top ones. Free ones are tradebench and tradeinsights. Source: almost 4 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 Trademetria and socketify.py, you can also consider the following products

TraderSync - Biometric trading journal to trade without emotion

TradesViz - An online trade logging platform that does it all! Logging, charting, sharing, trade management, risk analysis and many more! The best trading journal to find and visualize your trading edge.

Stonk Journal - Free trading journal with an AI coach that reviews your trades and helps you improve.

UltraTrader - The #1 Automated Trading Journal For Serious Traders Trusted by 100k+ traders worldwide to sharpen their strategy.

Traders Journal App - Turn trades into insights. Insights into Profit.

MyTradeRecords - Journal stock trades and executions, get profit reports, option spreads auto-detection, trading calendar, open positions report, day-trading and swing trading.

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