Comparison

ML Trainer vs PocketGraph

Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.

Head to head
About

ML Trainer

Easily create training data for machine learning image classification models. Capture thousands of images with adjustable settings for speed and accuracy, then export them for use with popular development tools.

Highlights
  • Capture images for ML training data
  • Adjustable scan speed and frame count
  • Low light enhancement with flashlight
  • Export images to Photos app
  • Compatibility with CreateML, TensorFlow, Azure ML
  • Accuracy aids like crosshairs and guides
Features
Read full description

Creating original training data for Image Classification machine learning models just got a little easier! ML Trainer allows developers to quickly capture and export thousands of images to the Photos app, allowing every image to be imported with iCloud or the built in Image Capture app on Mac. Press the Scan button to capture a preset amount of images as you move closer to or pivot around your subject, or Tap the Camera button to capture a single picture. Toggle the Flashlight to improve results in low light conditions, and tap the Save button to export any captured images to the Photos app. While each image is always captured at a speed of 3 Frames Per Second, you can adjust the Frame Count of each Scan in the Settings Menu. A larger Frame Count will save you time, while a lower Frame Count will help improve accuracy across different angles. Enabling Crosshairs and Guides in the Settings Menu can also help improve accuracy. This app was specifically designed to speed up the process of importing data into the Xcode Developer Tool named CreateML. Exported images should also be compatible with other platforms like TensorFlow and Azure Machine Learning. A wired connection to a macOS device with the Image Capture app open will always be the fastest way to import your data to desktop.

About

PocketGraph

A powerful mobile client for Neo4j and Memgraph graph databases. Write and execute Cypher queries, visualize results as interactive graphs, and manage database connections securely from your phone or tablet.

Highlights
  • Connect to Neo4j and Memgraph databases
  • Write and execute Cypher queries
  • Interactive graph visualization
  • Structured JSON data views
  • Secure local data storage
  • Customizable editor settings
Features
Read full description

PocketGraph is a professional mobile client for Neo4j and Memgraph graph databases. Write and execute Cypher queries, explore results as interactive graphs, and manage your database connections — all from your phone or tablet. Connect to Your Databases Supports Neo4j Community, Enterprise, and Memgraph. Six connection protocols: neo4j://, neo4j+s://, neo4j+ssc://, bolt://, bolt+s://, bolt+ssc://. SSL/TLS encryption with flexible certificate handling, including self-signed certs. Test connections before saving them and switch between multiple databases within a single connection. Connection cards show protocol type and security status at a glance. Write and Run Cypher Queries Built-in query editor optimized for mobile with a custom symbols bar for quick access to Cypher syntax characters like parentheses, brackets, arrows, braces, quotes, and more. Auto-capitalize Cypher keywords as you type. Save frequently used queries for instant reuse. View multiple query results at once and clear individual results or all at once. Interactive Graph Visualization Explore query results as a visual, interactive graph. Nodes are color-coded by label for quick identification. Tap any node to open a detail panel with properties, formatted JSON view, and a list of its relationships. Copy node data as text or JSON directly from the panel. Double-tap to expand relationships inline with smooth auto-zoom animation. Drag the panel up for a full-screen detail view or swipe down to dismiss. Structured Data Views Switch to JSON view for non-graph data with full search, jq-style filtering, and collapsible tree navigation. Syntax-highlighted with high-contrast colors that match your theme. Privacy First All connections, credentials, and queries are stored locally on your device. No cloud sync, no tracking, no ads, no data collection. Your database credentials never leave your phone. Who Is PocketGraph For? - Database administrators checking production systems on the go. - Developers testing and debugging Cypher queries away from their desk. - Data analysts exploring graph structures from anywhere. Anyone who needs quick access to Neo4j or Memgraph without opening a laptop. Dark/Light mode supported. Customizable editor settings for auto-capitalize and auto-zoom behavior.

Screenshots

ML Trainer4 screens
PocketGraph4 screens

Verdict

The call

The clearest difference is price: ML Trainer at $0.99 against PocketGraph's $7.99. PocketGraph's advantage is update cadence (every 21 months vs every 55 months) and chart position (#24 vs unranked). On ads, in-app purchases, monetization model and device support there is nothing between them.

Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS

CostPrice · In-app purchases · Ads · Monetization

ML Trainer costs $0.99 and PocketGraph $7.99 up front. Neither carries in-app purchases, so what you see is what you pay.

UpkeepUpdate frequency

ML Trainer ships an update every 55 months, PocketGraph every 21 months. The most recent releases landed on October 8, 2026 and October 5, 2026 respectively.

Scorecard3 real differences · 8 level
ML Trainer versus PocketGraph: the parameters behind the verdict, then further details
ParameterML TrainerPocketGraph
Price$0.99 — better$7.99
Rating5.0 (2 ratings) — better—
Positive reviews—0.0% of reviews
Number of ratings2 — better—
Update frequencyEvery 55 monthsEvery 21 months — better
AdsNoNo
In-app purchasesNoNo
MonetizationPaidPaid
Best chart rank—#24 — better
DevicesiPhone, iPad, iPodiPhone, iPad, iPod
Requires iOS14.0 — better14.2
Further details — not scored
Size9 MB65 MB
Age rating4+4+
DeveloperCasey PollockRe: Software B.V.

Customer experience

ML Trainer

All ratings2 ratings
Positive100.0%
Neutral0.0%
Negative0.0%

PocketGraph

Written reviews1 reviews
Positive0.0%
Neutral0.0%
Negative100.0%

In-app purchases

None

ML Trainer

No in-app purchases

None

PocketGraph

No in-app purchases

Questions

Is ML Trainer free?
ML Trainer costs $0.99, with no in-app purchases.
Is PocketGraph free?
PocketGraph costs $7.99, with no in-app purchases.
Do ML Trainer or PocketGraph have ads?
Neither ML Trainer nor PocketGraph shows ads.
Which is updated more often, ML Trainer or PocketGraph?
ML Trainer ships an update every 55 months, and PocketGraph every 21 months. Most recently, ML Trainer was updated on October 8, 2026 and PocketGraph on October 5, 2026.

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