ML Trainer vs Data Modeler
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.
Data Modeler
Effortlessly create, visualize, and export complex data models for your projects. Design entities, relationships, and attributes with an intuitive editor. Add data to test your models and export them as JSON documents or diagrams.
- Intuitive data model editor
- Create entities, attributes, and relationships
- Define cardinalities and relationship types
- Add and store data within models
- Visualize models as ER diagrams
- Export data as JSON documents
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Data Modeler: Create, Export, and Visualize Your Data Models With Data Modeler, you can effortlessly create complex data models for your app, website, or database project. Create entities and relationships, and define attributes and cardinalities with ease. The editor is intuitive and responsive, with a wide range of tools at your fingertips. Once you have your data model set up, you can add data to it to make sure it works as expected. And when you're satisfied with your data, you can export it as JSON, so it's ready to use in your projects. You can also view it as a JSON diagram, making it easy to understand its structure and relationships at a glance. Create Complex Data Models with Ease: - Design data models quickly and efficiently with a responsive and intuitive editor. - Add entities, attributes, and cardinalities with a wide range of tools at your fingertips. - Create relationships between entities and define the type of relationship, cardinality, and properties with ease. - View your data models as an ER diagram to quickly understand their structure and relationships at a glance. Add and Export Data as JSON: - Add and store data from your data models with a responsive and intuitive editor. - View your data as a JSON diagram to quickly understand their structure and relationships at a glance. - Analyze complex data models with ease, and identify areas for improvement. - Export data as JSON document to use in your projects. In summary, Data Modeler is an easy-to-use app that simplifies data modeling by providing a responsive and intuitive editor, the ability to add data to those data models, and the ability to export data as JSON and visualize them with a JSON diagram. Whether you're a developer, designer, or project manager, Data Modeler has something to offer to improve your workflow and streamline your projects. Happy Data Modeling! ------- Terms of use: https://aarkaystudio.com/terms Privacy policy: https://aarkaystudio.com/privacy
Screenshots
Verdict
The clearest difference is price: Data Modeler at Free against ML Trainer's $0.99. Data Modeler also leads on update cadence (every 5 days vs every 55 months). ML Trainer's advantage is rating (5.0 vs 4.4) and in-app purchases (none vs 3). On ratings volume, ads 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
Data Modeler is free to download; ML Trainer costs $0.99 up front. Data Modeler sells 3 in-app purchases, starting at $8.49 per month. ML Trainer asks for nothing beyond the download.
ML Trainer holds the better App Store score, 5.0 against 4.4. Both are backed by a comparable volume of ratings — 2 and 5 respectively.
ML Trainer ships an update every 55 months, Data Modeler every 5 days. The most recent releases landed on September 21, 2026 and September 25, 2026 respectively.
| Parameter | ML Trainer | Data Modeler |
|---|---|---|
| Price | $0.99 | Free — better |
| Rating | 5.0 (2 ratings) — better | 4.4 (5 ratings) |
| Positive reviews | — | 54.5% of reviews |
| Number of ratings | 2 | 5 — better |
| Update frequency | Every 55 months | Every 5 days — better |
| Ads | No | No |
| In-app purchases | No — better | Yes |
| Monetization | Paid | Freemium — better |
| Devices | iPhone, iPad, iPod | iPhone, iPad, Mac |
| Requires iOS | 14.0 — better | 17.6 |
| Further details — not scored | ||
| Size | 9 MB | 23 MB |
| Age rating | 4+ | 4+ |
| Developer | Casey Pollock | Rahul Katariya |
Customer experience
ML Trainer
Data Modeler
In-app purchases
ML Trainer
No in-app purchases
Data Modeler
- Monthly$8.491 Month
- Annual$59.991 Year
- Introductory Lifetime Offer$89.99









