Software Alternatives, Accelerators & Startups

AlcoList VS socketify.py

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

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AlcoList logo AlcoList

Track drinks, spot patterns, and stay within your limits.

socketify.py logo socketify.py

Maybe the fastest web framework for Python and PyPy
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AlcoList is a calm alcohol tracker for people who want to understand their drinking habits without guilt, pressure, or complicated setup.

Log drinks in seconds, track Today / Week / Month / Year totals, compare them with your own guideline, and see how your habits change over time with calendars, charts, rolling averages, and clear breakdowns by drink type, weekday, and time of day.

AlcoList also helps you track alcohol spending, save usual drinks as templates, and export your data in CSV or JSON whenever you need it.

It works across iPhone, iPad, and Mac, giving you one clean place to see what you drink, when you drink, how much it costs, and whether your habits are moving in the direction you want.

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

AlcoList

$ Details
freemium $2.99 / Monthly (AlcoList Pro (Monthly $2.99 / Yearly $17.99))
Platforms
iPhone iPad Mac iOS MacOS
Release Date
2025 December
Startup details
Country
Spain
State
Barcelona
City
Barcelona
Employees
1 - 9

socketify.py

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

AlcoList features and specs

  • Drink logging
    Log drinks quickly with volume, ABV, type, and optional price
  • Personal guideline
    Compare totals with a limit or guideline you choose
  • Today / Week / Month / Year totals
    See your current drinking totals at a glance
  • Calendar view
    Spot drinking days and open daily details fast
  • Rolling average trends
    See whether your habits are moving up or down over time
  • Pattern breakdowns
    Understand drink types, weekday habits, and time-of-day patterns
  • Spending tracking
    Track alcohol costs and see totals and averages over time
  • Drink templates
    Save usual drinks and log them again in one tap
  • Period charts
    Review weekly, monthly, and yearly totals and spikes
  • CSV/JSON export
    Export your drinking history for your own records

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 AlcoList

Overall verdict

  • I don't have verified, up-to-date information about AlcoList (alcolist.com) to confidently assess its quality, reliability, or legitimacy. Before using this service, I'd recommend independently verifying its reputation through reviews, business registration checks, and user feedback from trusted sources.

Why this product is good

  • Lack of verifiable information available about this specific site's track record and reputation
  • Unable to confirm the legitimacy, licensing, or safety practices of the platform
  • No independent third-party reviews or ratings could be verified at this time
  • Cannot confirm pricing, product quality, or customer service standards

Recommended for

  • Users should conduct independent research before making a decision
  • Check for verified customer reviews on platforms like Trustpilot or BBB
  • Verify business licensing and registration if alcohol sales are involved
  • Consult recent, direct sources rather than relying on this assessment alone

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

Category Popularity

0-100% (relative to AlcoList and socketify.py)
Productivity
100 100%
0% 0
Websocket
0 0%
100% 100
Health And Fitness
100 100%
0% 0
Python
0 0%
100% 100

Questions & Answers

As answered by people managing AlcoList and socketify.py.

What makes your product unique?

AlcoList's answer

AlcoList is built around calm awareness instead of guilt or pressure. It helps people understand drinking patterns with clear totals, trends, breakdowns, spending, and personal guidelines, without turning the app into a recovery program or a judgmental habit tracker.

Why should a person choose your product over its competitors?

AlcoList's answer

AlcoList is simple, private, and focused on everyday tracking. It is made for people who want to understand what they drink, when they drink, how much it costs, and whether their habits are changing over time. It works across iPhone, iPad, and Mac with a clean interface and practical analytics.

How would you describe the primary audience of your product?

AlcoList's answer

AlcoList is for people who drink alcohol but want more awareness and control. It is useful for mindful drinkers, people reducing alcohol, people tracking spending, and anyone who wants clear personal data instead of guessing from memory.

What's the story behind your product?

AlcoList's answer

AlcoList started from a simple problem: alcohol habits are easy to underestimate when they are spread across casual evenings, weekends, social events, and โ€œjust one drinkโ€ moments. The app was built to make those patterns visible in a calm, practical way.

Which are the primary technologies used for building your product?

AlcoList's answer

Native Apple stack: Swift, SwiftUI, SwiftData, CloudKit/iCloud sync, Charts, and StoreKit. AlcoList is built for iPhone, iPad, and Mac.

Who are some of the biggest customers of your product?

AlcoList's answer

  • Mindful drinkers
  • People reducing alcohol
  • Health-conscious Apple users
  • People tracking spending
  • Anyone who wants clearer drinking patterns

User comments

Share your experience with using AlcoList 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, 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.

AlcoList mentions (0)

We have not tracked any mentions of AlcoList yet. Tracking of AlcoList recommendations started around Jun 2026.

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

Sunnyside - Sunnyside helps anyone who regularly drinks alcohol to build mindfulness and intentionality around when and how much they drink.

Reframe - Neuroscience approach to drinking less or quitting alcohol

DrinkControl - iPhone app for tracking and moderating alcohol use

Less - Less extends CSS with dynamic behavior such as variables, mixins, operations and functions. Less runs on both the server-side (with Node. js and Rhino) or client-side (modern browsers only).

I Am Sober - I Am Sober is an app which comes with the different module, and it is one of the most celebrity application used in America.

Apple Health - See more of yourself in Health.