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WListDB VS mlsql

Compare WListDB VS mlsql and see what are their differences

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.

Rating
0 reviews
Pricing
Freemium €3.99 / Monthly
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Alternatives Is it good?
mlsql

Infer SQL queries from plain-text questions and table headers.

Rating
0 reviews
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Alternatives Is it good?
Calcumber
Calculate in a notebook and share — from everyday math to engineering. sponsored

Which is more popular?

Based on our record, mlsql seems to be more popular. It has been mentioned 2 times since March 2021.

social mentions
0 vs 2
Games popularity
100% vs 0%
alternatives listed
29 vs 1

Base details

Website, pricing, platforms and company facts side by side.

WListDB
mlsql
Website wlistdb.com github.com
Pricing
Freemium €3.99 / Monthly Official pricing
—
Platforms
Web Windows
—
Company 2024 —
Listed in
Game Library Manager Game Collection Tracker Video Game Backlog Management Game Reviews Games Gaming Web App +4
Education LMS Online Learning Web App +1

About WListDB and mlsql

In their own words, as submitted to SaaSHub.

WListDB
mlsql

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 recap—games, hours, top genres—exportable as an image for socials. Release calendar, ranked lists, reviews....

Read more about WListDB

No description of mlsql yet.

Features and specs

What each product offers, as listed by its team.

WListDB 10 features
mlsql 0 features
  • 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 — 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 — Main Story, Main + Extras and Completionist times — 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 — games finished, hours played, top genres — 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).

No features have been listed yet.

Analysis

An editorial look at what each product does well and who it suits.

WListDB
mlsql

No analysis of WListDB yet.

Overall verdict

  • MLSQL is a solid open-source unified platform that blends SQL with machine learning, making data engineering and ML workflows accessible through a single, declarative language. It's a good choice for teams looking to streamline big data and ML pipelines without switching between multiple tools.

Why this product is good

  • It unifies data processing and machine learning under a single SQL-like syntax, lowering the learning curve for data teams.
  • Built on top of Apache Spark, it leverages a proven distributed computing engine for handling large-scale data.
  • Open-source and actively developed, allowing customization and community-driven improvements.
  • Supports the full ML lifecycle including data preprocessing, training, and deployment within one workflow.
  • Reduces the need to context-switch between separate ETL, analytics, and ML tools.

Recommended for

  • Data engineers and data scientists who prefer SQL-centric workflows
  • Teams working with big data on Apache Spark
  • Organizations wanting to unify ETL and machine learning pipelines
  • Companies seeking an open-source alternative to fragmented ML tooling
  • Analysts looking to build ML models without deep programming expertise

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
WListDB
mlsql
100% 100%
Games
0% 0%
64% 64%
Web App
36% 36%
0% 0%
Online Learning
100% 100%
100% 100%
Game Reviews
0% 0%

Questions & Answers

As answered by people managing WListDB and mlsql.

How would you describe the primary audience of your product?

WListDB's answer

Gamers with large backlogs — 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 — import your whole Steam library in one click instead of adding games one by one — 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 — 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 — it has no corporate customers.

User comments

Share your experience with using WListDB and mlsql. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

WListDB 0 mentions
mlsql 2 mentions

Tracking WListDB since Jul 2026.

  • Download the files from Docker Container and locally edit them
    I am working on a project that requires me to take user input (as English) and return SQL queries. We will eventually be working with multiple datasets, which is why the valuenet over at https://github.com/paulfitz/mlsql ended up being... Source: over 4 years ago
  • Clone and edit Docker Projects hosted on Github
    I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago

Alternatives to WListDB and mlsql

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