ML Trainer vs CodeXplore
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
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.
- 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
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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.
CodeXplore
This app provides a simple and elegant way to view project structures and code. It allows importing Xcode projects from GitHub repositories and navigating them hierarchically. Customize themes, fonts, and paragraph settings for an optimized reading experience.
- Folder hierarchy visualization
- Code viewer with highlighting
- Customizable color theme, font, and paragraph
- GitHub repository import via URL
- GitHub login for repository access
- iPad UI optimization
- Lifetime license purchase
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CodeXplore : Simple & Elegant Code Viewer ------------------------------------------------------ This app beautifully shows project structure and code. Xcode projects can be simply added via the Github repository. You can then navigate the project directory with a hierarchical browser. This will be a powerful tool to read and analyze your code. ## Features • Folder hierarchy visualization • Code viewer with highlighting • Customize color theme / font / paragraph • GitHub repository import from URL • GitHub login and access your repositories • UI Optimization for iPad • Pay once for a lifetime license
Screenshots
Verdict
The clearest difference is update cadence: CodeXplore at fortnightly against ML Trainer's every 55 months. ML Trainer's advantage is price ($0.99 vs $2.99) and ratings volume (3 vs 1). On rating, ads, in-app purchases and monetization model 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
ML Trainer costs $0.99 and CodeXplore $2.99 up front. Neither carries in-app purchases, so what you see is what you pay.
On the App Store both sit at effectively the same score — 5.0 for ML Trainer against 5.0 for CodeXplore. Both are backed by a comparable volume of ratings — 3 and 1 respectively.
ML Trainer ships an update every 55 months, CodeXplore fortnightly. Both last shipped on October 30, 2026.
| Parameter | ML Trainer | CodeXplore |
|---|---|---|
| Price | $0.99 — better | $2.99 |
| Rating | 5.0 (3 ratings) | 5.0 (1 ratings) |
| Number of ratings | 3 — better | 1 |
| Update frequency | Every 55 months | Fortnightly — better |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Paid | Paid |
| Devices | iPhone, iPad, iPod — better | iPhone, iPad |
| Requires iOS | 14.0 — better | 18.6 |
| Further details — not scored | ||
| Size | 9 MB | 19 MB |
| Age rating | 4+ | 4+ |
| Developer | Casey Pollock | Jae Hyeon Park |
Customer experience
ML Trainer
CodeXplore
In-app purchases
ML Trainer
No in-app purchases
CodeXplore
No in-app purchases









