Software Alternatives, Accelerators & Startups

ChartScout.io VS socketify.py

Compare ChartScout.io 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.

ChartScout.io logo ChartScout.io

Scan 1,000+ crypto pairs for patterns like rising wedges & triangles in real time. Get Discord/email alerts no API keys needed. Free tier available.

socketify.py logo socketify.py

Maybe the fastest web framework for Python and PyPy
  • ChartScout.io Bull Flag Pattern Detected by ChartScout
    Bull Flag Pattern Detected by ChartScout //
    2025-12-27
  • ChartScout.io Bullish Pennant Pattern Detected by ChartScout
    Bullish Pennant Pattern Detected by ChartScout //
    2025-12-27
  • ChartScout.io Watchers
    Watchers //
    2025-12-27

ChartScout is an AI powered cryptocurrency chart pattern scanner that watches more than 1,000 trading pairs across major exchanges 24/7 and alerts traders when patterns form in real time. It automatically detects structures such as ascending and descending triangles, channels, wedges, flags, headโ€‘andโ€‘shoulders and other proven patterns, often within 20 seconds of completion, so users do not need to stare at charts all day.

Traders create pattern watchers by choosing an exchange, pair, timeframe and pattern, then receive notifications via the web platform, Discord and email whenever those conditions are met. Different tiers unlock faster timeframes and more pattern types, from a free plan with higherโ€‘timeframe bullish setups to advanced plans that include 1 minute charts, additional patterns and AI commentary on each detection. ChartScout reads only public market data, never requires API keys or withdrawal access, and is intended as an analytics and decisionโ€‘support tool rather than an exchange or wallet.

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

ChartScout.io

$ Details
paid Free Trial $29.0 / Monthly (100 Watchers)
Platforms
Brower Desktop SaaS Mobile
Release Date
2025 November
Startup details
Country
Estonia
State
Tallinn
City
Dubrovnik,
Founder(s)
Stjepan Ivanoviฤ‡
Employees
1 - 9

socketify.py

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

ChartScout.io features and specs

  • Multiโ€‘Exchange Market Coverage
    Scans hundreds of liquid spot and derivatives pairs across major centralized exchanges to surface only the most relevant opportunities.
  • Realโ€‘Time Alerts & Workflow
    Browser, email and Discord alerts integrated into a clean UI so active traders can react quickly without managing complex configurations.
  • AI Pattern Scanner
    Monitors 1,000+ crypto pairs across major exchanges 24/7 and detects patterns like triangles and wedges in under 20 seconds.
  • Multiโ€‘Timeframe Monitoring
    Tracks the same pair simultaneously on 1m, 5m, 15m, 1h and 4h charts to confirm setups across multiple timeframes.
  • Instant Alerts
    Sends realโ€‘time pattern alerts via inโ€‘app notifications, email and Discord so traders never miss a new setup.
  • No API Keys Required
    Uses only public market data, keeping all exchange accounts and funds fully separate from the platform.
  • Scalable Plans
    Paid plans from $49/mo with 100 to 1,000 watchers. Pro includes a 7-day free trial. Upgrade anytime as your trading grows.

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 ChartScout.io

Overall verdict

  • ChartScout.io appears to be a solid choice for those seeking charting and market analysis tools, offering a focused platform for tracking and visualizing financial data. As with any financial tool, its value depends on your specific needs and trading style.

Why this product is good

  • Provides charting and data visualization tools that can help users spot trends and patterns
  • Designed with a focus on market scouting, potentially saving time in research
  • May offer a clean, intuitive interface for both new and experienced users
  • Can consolidate market data in one place for easier decision-making

Recommended for

  • Traders and investors who rely on technical analysis and charting
  • Individuals looking to track market trends and identify opportunities
  • Financial enthusiasts who want a dedicated tool for data visualization
  • Users seeking to streamline their market research workflow

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

ChartScout.io videos

NEVER Miss a Pattern Forming Again With This Advanced Tool! #chartscout #chartscout.io #pattern

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 ChartScout.io and socketify.py)
Trading
100 100%
0% 0
Web Development
0 0%
100% 100
Finance
100 100%
0% 0
Websocket
0 0%
100% 100

Questions & Answers

As answered by people managing ChartScout.io and socketify.py.

What makes your product unique?

ChartScout.io's answer

ChartScout.io is unique because it focuses on one thing: automatically finding highโ€‘quality crypto chart patterns so traders do not have to manually scan hundreds of charts themselves. It runs entirely in the browser, never asks for API keys or custody of user funds, and delivers realโ€‘time pattern alerts across many exchanges and timeframes, which makes it easy and safe for traders to plug into their existing workflow.

Why should a person choose your product over its competitors?

ChartScout.io's answer

A person should choose ChartScout.io because it is specialized for one job: automatically finding highโ€‘probability crypto chart patterns across many exchanges so traders save hours of manual scanning. It works entirely in the browser, does not require API keys or fund access, and focuses on fast, realโ€‘time alerts instead of complex configuration, which makes it simpler and safer to add to any existing trading workflow compared with many multiโ€‘feature competitors.

How would you describe the primary audience of your product?

ChartScout.io's answer

The primary audience for ChartScout.io is active crypto traders who rely on technical analysis and want help finding highโ€‘quality chart patterns quickly across many markets. This includes retail dayโ€‘traders, swing traders and small trading teams who already use exchanges like Binance or Bybit, want realโ€‘time pattern alerts, but prefer not to share API keys or build their own scanners.

What's the story behind your product?

ChartScout.io's answer

ChartScout.io grew out of a simple problem: active crypto traders were spending hours every day flipping between charts just to spot a few good patterns, and often still missed the best moves. The team set out to build a focused โ€œscoutโ€ that could watch hundreds of pairs around the clock, surface clean technical setups automatically, and do it in a way that never needed exchange keys or control over user funds, so traders could keep their existing tools and let ChartScout handle the heavy scanning work.

Who are some of the biggest customers of your product?

ChartScout.io's answer

ChartScout.io is still a young specialist tool focused on individual and smallโ€‘team crypto traders rather than big institutions, so specific customer names are not published publicly yet. Instead of highlighting logos, it emphasizes a growing base of active dayโ€‘ and swingโ€‘traders who use it daily alongside major exchanges for automated pattern discovery and alerts.

Which are the primary technologies used for building your product?

ChartScout.io's answer

The core stack behind ChartScout.io is a modern webโ€‘first setup: a TypeScript/React (Next.js) frontโ€‘end, Node.js services for data processing, and cloud infrastructure that streams live market data from major exchange APIs. Pattern detection and alerting are handled by serverโ€‘side scanners and machineโ€‘learning components that run continuously, then push results to the browser in real time via web APIs and notifications.

User comments

Share your experience with using ChartScout.io and socketify.py. For example, how are they different and which one is better?
Log in or Post with

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.

ChartScout.io mentions (0)

We have not tracked any mentions of ChartScout.io yet. Tracking of ChartScout.io recommendations started around Dec 2025.

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 ChartScout.io and socketify.py, you can also consider the following products

Coin Push - Get timely notifications before the price action begins. You never miss crypto trading opportunities.

altFINS - Scan, Analyze, and Trade altcoins

Tickeron - Tickeron is an AI-based analytical platform for retail investors and traders which supports the following products: AI trading robots, Trend Prediction Engine, Pattern Search Engine, Screener, and Community.

3commas - 3commas.io provides tools for cryptocurrency traders and investors.

TradingView - The best charting tool for crypto and stocks

TrendSpider - TrendSpider Automated Technical Analysis Software is Trading Software for Day and Swing Traders that can Automatically analyze Stocks, ETFs, Forex, FX and Crypto charts in real time using cloud-based AI and powerful algorithms.