Gitql VS LumiGap

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: 1 vs 0
Git popularity: 100% vs 0%

Base details

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

	Gitql	LumiGap
Website	github.com	lumigap.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	Git Development Programming Language Code Collaboration +1	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

About Gitql and LumiGap

In their own words, as submitted to SaaSHub.

Gitql

LumiGap

No description of Gitql yet.

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...

Features and specs

What each product offers, as listed by its team.

Gitql 0 features

LumiGap 10 features

No features have been listed yet.

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

Analysis

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

Gitql

LumiGap

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

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

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

Gitql

LumiGap

100% 100%

Git

0% 0%

Data Science And Machine Learning

100% 100%

Code Collaboration

0% 0%

Machine Learning

100% 100%

Questions & Answers

As answered by people managing Gitql and LumiGap.

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 Gitql and LumiGap. For example, how are they different and which one is better?

Social recommendations and mentions

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

Gitql 1 mention

LumiGap 0 mentions

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

Tracking LumiGap since Jun 2026.

Compare Gitql VS LumiGap and see what are their differences

Base details

About Gitql and LumiGap

Features and specs

Analysis

Category popularity

Questions & Answers

What makes your product unique?

Why should a person choose your product over its competitors?

How would you describe the primary audience of your product?

What's the story behind your product?

Which are the primary technologies used for building your product?

Who are some of the biggest customers of your product?

User comments

Social recommendations and mentions