Software Alternatives, Accelerators & Startups

Atas VS socketify.py

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

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Atas logo Atas

ATAS professional trading and analytic platform. ะTAS analysis program: time&sales (time and sales), smart tape, atas allows to analyze point volumes

socketify.py logo socketify.py

Maybe the fastest web framework for Python and PyPy
  • Atas Landing page
    Landing page //
    2023-09-16
  • socketify.py Landing page
    Landing page //
    2023-09-24

Atas features and specs

  • Advanced Charting Tools
    Atas provides a wide range of advanced charting tools, which allows traders to analyze market trends and make informed decisions based on technical analysis.
  • Order Flow Analysis
    The platform offers comprehensive order flow analysis features, helping traders understand market depth and the behavior of large market participants.
  • Customization
    Traders can customize their interface and tools according to their preferences, enhancing the trading experience and efficiency.
  • Real-Time Data
    Atas provides real-time market data, ensuring that traders have the latest information available to make timely trading decisions.
  • User Community
    A supportive user community where traders can exchange ideas, share strategies, and receive support from other users.

Possible disadvantages of Atas

  • Cost
    The pricing for Atas may be high for beginner traders or those with a limited budget, as it is typically aimed at professional traders.
  • Learning Curve
    New users may find the platform complex and overwhelming at first, given the wide range of features and tools available.
  • System Requirements
    Due to its advanced features, Atas may require a powerful computer setup, which not all users may have readily available.
  • Limited Broker Integration
    Atas may not support as many brokers as other trading platforms, which could limit its accessibility for some users.
  • Subscription Model
    The platform operates on a subscription model, which means ongoing costs for users as opposed to a one-time purchase.

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

Atas videos

ATAS Order Flow Trading Software Review 2020 // Platform Test

More videos:

  • Tutorial - How to start Order Flow Trading with ATAS Software // Tutorial for beginners
  • Review - Classic Market Profile (TPO). Review of the updated profile in ATAS Beta.

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 Atas and socketify.py)
Trading
100 100%
0% 0
Python
0 0%
100% 100
Finance
100 100%
0% 0
Web Development
0 0%
100% 100

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.

Atas mentions (0)

We have not tracked any mentions of Atas yet. Tracking of Atas recommendations started around Jun 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 Atas and socketify.py, you can also consider the following products

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NVSTly - A free, interactive social investing platform where retail traders can track, share, or copy trades with extensive insights on every position & in-depth performance stats. Discover & follow top ranked investors or compete against the best.

Token Metrics - Find profitable crypto investments and filter out scams.

Masterswift2.0 - Masterswift2.0 is an advanced-level trading application that allows you to find the best trading opportunity by using its analytical tool like charts, patterns, backtesting, recognition, etc.