Software Alternatives, Accelerators & Startups

WListDB VS socketify.py

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

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WListDB logo WListDB

Track every game you play, manage your backlog, import your Steam library, and never lose track of your gaming history. Free game tracker for PC, PlayStation, Xbox and Nintendo.

socketify.py logo socketify.py

Maybe the fastest web framework for Python and PyPy
  • WListDB Home dashboard with this week's game releases, hype votes and trending community lists โ€” discover what's coming and what other players are ranking.
    Home dashboard with this week's game releases, hype votes and trending community lists โ€” discover what's coming and what other players are ranking. //
    2026-08-05
  • WListDB Your tracked games library: filter by status (Playing, Plan to Play, Finished, Abandoned, Endless), see your score, playtime per run and Main Story / Extra / 100% averages, plus one-click Import from Steam.
    Your tracked games library: filter by status (Playing, Plan to Play, Finished, Abandoned, Endless), see your score, playtime per run and Main Story / Extra / 100% averages, plus one-click Import from Steam. //
    2026-08-05
  • WListDB Custom public lists: build themed collections like "Monster Taming Games on My Radar", rank up to 100 games, add descriptions and share them with a link.
    Custom public lists: build themed collections like "Monster Taming Games on My Radar", rank up to 100 games, add descriptions and share them with a link. //
    2026-08-05
  • WListDB Game page with community playtime averages (Main Story 37h, Main + Extra 68h, Completionist 85h), Steam reviews score, hype button, tracking status and store links.
    Game page with community playtime averages (Main Story 37h, Main + Extra 68h, Completionist 85h), Steam reviews score, hype button, tracking status and store links. //
    2026-08-05
  • WListDB Desktop app detecting a running game (Diablo IV) and tracking the session live automatically โ€” no manual timers.
    Desktop app detecting a running game (Diablo IV) and tracking the session live automatically โ€” no manual timers. //
    2026-08-05
  • WListDB Playtime history: daily sessions, streaks and an activity heatmap, with every session logged automatically or manually.
    Playtime history: daily sessions, streaks and an activity heatmap, with every session logged automatically or manually. //
    2026-08-05
  • WListDB Per-run tracking: hours split by phase (Main / +Extra / Completionist) compared against community averages, with multiple runs per game.
    Per-run tracking: hours split by phase (Main / +Extra / Completionist) compared against community averages, with multiple runs per game. //
    2026-08-05
  • WListDB Sidebar library organized by status: Now Playing, Continue Playing and Backlog at a glance.
    Sidebar library organized by status: Now Playing, Continue Playing and Backlog at a glance. //
    2026-08-05
  • WListDB Manual sessions for games outside Steam: start a timer on any game and set its status.
    Manual sessions for games outside Steam: start a timer on any game and set its status. //
    2026-08-05
  • WListDB Install games on Steam directly from your library while keeping your tracking status.
    Install games on Steam directly from your library while keeping your tracking status. //
    2026-08-05

Steam library at 300+ and no idea what you've finished? WListDB imports your library in one click. Track: playing, completed, dropped, plan to play. No spreadsheets. At year end you get a recapโ€”games, hours, top genresโ€”exportable as an image for socials. Release calendar, ranked lists, reviews. Built for patient gamers. Free. No ads on core. 5 languages. wlistdb.com

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

WListDB

$ Details
freemium โ‚ฌ3.99 / Monthly
Platforms
Web Windows
Release Date
2024 June

socketify.py

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

WListDB features and specs

  • One-Click Steam Import
    Connect your Steam account and import your entire library at once. Choose a tracking status per game (or ignore it) during import โ€” no manual entry, no spreadsheets.
  • Backlog Status Tracking
    Mark every game as playing, finished, planned, on hold, abandoned or endless. Filter your library by status to always know what to play next.
  • Playtime Tracking (Main Story / Completionist)
    See how long games take to beat โ€” Main Story, Main + Extras and Completionist times โ€” and log your own hours per playthrough phase.
  • Automatic Playtime Tracking (Desktop App)
    The free desktop app detects when a game is running and tracks your sessions automatically, so your hours stay accurate without manual timers.
  • Custom Ranked Lists
    Build public or private lists, rank your top games and share them with a link. Community lists are browsable and votable.
  • Year Recap & Monthly Wrapped
    Get a shareable recap of your gaming year โ€” games finished, hours played, top genres โ€” plus monthly wrapped summaries, exportable as an image.
  • Release Calendar
    Track upcoming releases week by week and get notified about the games you follow or hype.
  • Ratings & Reviews
    Score games, write reviews and keep a record of what you thought of everything you played.
  • Free to Use
    Core features are free with no ads. Optional supporter tier for extras.
  • Multi-Language
    Available in 5 languages (English, Spanish and more).

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

Category Popularity

0-100% (relative to WListDB and socketify.py)
Games
100 100%
0% 0
Websocket
0 0%
100% 100
Game Reviews
100 100%
0% 0
Python
0 0%
100% 100

Questions & Answers

As answered by people managing WListDB and socketify.py.

How would you describe the primary audience of your product?

WListDB's answer

Gamers with large backlogs โ€” the "patient gamer" type with a 100+ game Steam library who wants to know what they actually finished, how long games take to beat, and what to play next. Also players who enjoy ranking and sharing their collections through public lists and year-in-review recaps.

Which are the primary technologies used for building your product?

WListDB's answer

Next.js and React on the frontend, NestJS with PostgreSQL on the API, and an Electron desktop app for automatic play session tracking. All TypeScript.

What makes your product unique?

WListDB's answer

WListDB combines the two things gamers usually need separate tools for: HowLongToBeat-style playtime data (Main Story / Main + Extras / Completionist) and a full backlog tracker with statuses, ranked lists and reviews. Entry is automated โ€” import your whole Steam library in one click instead of adding games one by one โ€” and a free desktop app detects running games and tracks your play sessions automatically, split by phase and compared against community averages. At the end of the year you get a shareable recap of everything you played.

Why should a person choose your product over its competitors?

WListDB's answer

Less manual work: one-click Steam import instead of typing in hundreds of games, and automatic session tracking through the desktop app instead of manual timers. Deeper playtime tracking than catalog-style trackers (per-run hours split by Main / Extra / Completionist phases), and personal tracking that pure playtime databases don't offer. Core features are free with no ads, and the app is available in 5 languages.

What's the story behind your product?

WListDB's answer

The founder has been a patient gamer for years. His Steam library hit 300+ games and he had no idea what he'd actually completed โ€” spreadsheets didn't stick. So he built WListDB: connect Steam once, sync your library, mark status as you play, and get a recap at the end of the year with games finished, hours played and top genres. It's the tool he wanted for himself, kept free with no ads on the core features.

Who are some of the biggest customers of your product?

WListDB's answer

WListDB is a free consumer app for individual gamers, not a B2B product โ€” it has no corporate customers.

User comments

Share your experience with using WListDB 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.

WListDB mentions (0)

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

Savepoint.gg - Your gaming backlog, organized. Track what you're playing, discover what's next, and share your journey with friends.

GamingList.gg - Track, rate and organize your video game collection across Steam, Xbox, PlayStation, Nintendo and PC. Build your backlog and share your gaming profile.

Backloggery - Backloggery helps gamers keep track of unplayed and unfinished games in their collection.

GG App - Not sure what to play next? Don't worry, we've got you covered. Discover new games, keep track of the ones you want to play, and connect with friends.

HowLongToBeat - How long does it take to beat your favorite games?

Infinite Backlog - A social game collection tracker