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LumiGap VS Gitql

Compare LumiGap VS Gitql and see what are their differences

LumiGap

AI vision lab for poker tables. Train AI models to recognize poker tables.

Rating
0 reviews
Pricing
Freemium €38 / Monthly (LumiGap Pro (Monthly EUR 38.00))
Alternatives Is it good?
Gitql

Git query language, for quickly searching git contents.

Rating
0 reviews
Alternatives Is it good?
Gruvi.ai
Unified support inbox blending AI automations with genuine human empathy. Set up in 5 mins. Smarter than chatbots, our context-aware AI handles emails & chats with a human touch. sponsored
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.

Which is more popular?

Based on our record, Gitql seems to be more popular. It has been mentioned 1 time since March 2021.

social mentions
0 vs 1
Data Science And Machine Learning popularity
100% vs 0%

Base details

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

LumiGap
Gitql
Website lumigap.com github.com
Pricing
Freemium €38 / Monthly (LumiGap Pro (Monthly EUR 38.00)) Official pricing
—
Platforms
Mac MacOS
—
Company Startup from Spain · 1 - 9 employees · 2025 —
Listed in
AI Tools Computer Vision Machine Learning Data Analytics Big Data Analytics Machine Data Analytics Data & Analytics Data Analytics / AI AI Developer Tools Developer Tools Data Science And Machine Learning Machine Learning Tools +9
Git Development Programming Language Code Collaboration +1

About LumiGap and Gitql

In their own words, as submitted to SaaSHub.

LumiGap
Gitql

LumiGap is a macOS AI vision workspace for poker table recognition. It reads visible online poker tables from your screen, uses OCR and Core ML to recognize names, stacks, bets, cards, board, pot, and table regions, then turns everything into structured data you can review, correct, export, and...

Read more about LumiGap

No description of Gitql yet.

Features and specs

What each product offers, as listed by its team.

LumiGap 10 features
Gitql 0 features
  • AI table recognition
    Detect cards, stacks, bets, names, board, pot, and table regions from screen data
  • Screen capture pipeline
    Read visible poker tables on macOS without connecting to poker rooms
  • OCR + Core ML
    Combine text recognition and ML models for structured table-state extraction
  • Custom datasets
    Collect screenshots, crops, labels, metadata, and manifests for model training
  • Card annotation
    Correct player cards, board cards, labels, and regions across frames
  • Player token editing
    Edit names, stacks, bets, and player-specific table tokens
  • Bring-your-own models
    Connect external detectors and tune recognition thresholds
  • Dataset converter
    Build object detection and card classifier datasets for Create ML workflows
  • Live table-state export
    Export recognized cards, stacks, bets, board, and pot through an API
  • Model performance tracking
    Compare recognition results, sessions, profit, and model performance over time

No features have been listed yet.

Analysis

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

LumiGap
Gitql

Overall verdict

  • I don't have verified information about LumiGap (lumigap.com) in my knowledge base, so I can't confirm its legitimacy, quality, or reputation. Before using or purchasing from this site, I'd recommend doing independent research.

Why this product is good

  • I don't have reliable data on this specific product or service to evaluate its features or quality
  • No verified customer reviews or reputation data available to me
  • Unable to confirm business legitimacy or track record

Recommended for

  • Anyone considering this site should first check independent reviews on platforms like Trustpilot or the BBB
  • Verify the company's contact information, return policy, and business registration
  • Check domain age and reviews on scam-detection sites like ScamAdviser before making a purchase
  • Consider using secure payment methods that offer buyer protection if you decide to proceed

Overall verdict

  • GitQL is a solid choice for developers who want to query Git repository data using SQL-like syntax, offering a fast and intuitive way to analyze commits, branches, and repository metadata without learning a new query language, though it's a specialized tool best suited for specific use cases rather than general-purpose development.

Why this product is good

  • Allows querying Git repositories using familiar SQL syntax, reducing the learning curve
  • Open-source and actively maintained on GitHub with community contributions
  • Written in a performant language (often Rust or Go depending on version), making queries fast even on large repositories
  • Useful for extracting insights like commit history, contributor stats, and branch information
  • Lightweight and focused tool that does one thing well rather than trying to be a bloated all-in-one solution
  • Cross-platform compatibility for use across different operating systems

Recommended for

  • Developers who want to analyze Git repository data without writing custom scripts
  • Data analysts or engineers who prefer SQL syntax for querying non-traditional data sources
  • Teams needing quick insights into commit patterns, contributor activity, or repository structure
  • DevOps engineers automating repository audits or reporting
  • Open-source enthusiasts comfortable with command-line tools
  • Users who need a lightweight alternative to complex Git analytics platforms

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
LumiGap
Gitql
100% 100%
Data Science And Machine Learning
0% 0%
0% 0%
Git
100% 100%
100% 100%
Machine Learning
0% 0%
0% 0%
Code Collaboration
100% 100%

Questions & Answers

As answered by people managing LumiGap and Gitql.

What makes your product unique?

LumiGap's answer

LumiGap is not just a poker tracker or a note-taking app. It is an AI vision workspace for poker table recognition: capture the table from your screen, recognize cards, stacks, bets, names, board and pot, correct the results, build datasets, train custom models, and export structured table state for research workflows.

Why should a person choose your product over its competitors?

LumiGap's answer

Most poker tools focus on hand histories, solvers, or finished analytics. LumiGap focuses on the recognition pipeline itself: screen capture, OCR, Core ML, table-region mapping, annotation, custom datasets, model testing, and export. It is for users who want to build and improve their own AI-powered poker research workflow.

How would you describe the primary audience of your product?

LumiGap's answer

LumiGap is for advanced poker players, coaches, poker researchers, ML builders, data-driven analysts, and macOS users who want to recognize poker table state visually, create custom datasets, and train models for their own layouts and research needs.

What's the story behind your product?

LumiGap's answer

LumiGap started from a simple gap: serious poker work often depends on screenshots, manual notes, hand histories, and tools that cannot easily be adapted to your own table layouts or model experiments. LumiGap was built to turn visible table states into structured data, datasets, and custom AI recognition workflows.

Which are the primary technologies used for building your product?

LumiGap's answer

Native macOS stack: Swift, SwiftUI, ScreenCaptureKit, Vision OCR, Core ML, local data storage, annotation tools, dataset converters, external detector support, and live export APIs.

Who are some of the biggest customers of your product?

LumiGap's answer

  • Advanced poker players
  • Poker coaches
  • Poker researchers
  • ML dataset builders
  • Computer vision experimenters
  • Strategy analysts
  • macOS users building custom recognition workflows

User comments

Share your experience with using LumiGap and Gitql. 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.

LumiGap 0 mentions
Gitql 1 mention

Tracking LumiGap since Jun 2026.

  • GQL: A Query language for .git files written in Rust
    How does this compare to https://github.com/filhodanuvem/gitql. Source: over 3 years ago

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