OneOAK vs ML Annotator
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
OneOAK
This developer toolbox offers a range of essential coding utilities in a streamlined interface. It assists with tasks like generating unique identifiers, verifying hashes, and managing JSON Web Tokens to enhance development workflows.
- GUID generator
- Hash verification
- JSON Web Token management
- Streamlined interface
- Developer workflow enhancement
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One of a Kind - Developer Toolbox transforms from a simple GUID generator into a comprehensive suite of essential tools for developers. This app offers a streamlined interface to handle various coding tasks with ease. Whether you need to generate unique identifiers, verify hashes, or manage JSON Web Tokens, One of a Kind provides a solution to enhance your development workflow.
ML Annotator
This tool facilitates the annotation of images for machine learning tasks like object detection and classification. It supports team collaboration, Apple Pencil for precise drawing, and offers various data export formats. Users can also generate custom iPython notebooks to kickstart model creation.
- Image annotation for ML classifiers
- Team collaboration for annotation
- Apple Pencil support for iPad
- Export training data in multiple formats
- Generate custom iPython notebooks
- Training data improvement suggestions
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ML Annotator allows you to annotate images for use in image segmentation, object detection, video classification and image classification machine learning classifiers. We have many features that make ML Annotator the best way to supercharge your machine learning workflow. - Invite others to your organization so you can annotate the images as a team - Full Apple Pencil support to make annotating super fast if you have an iPad - Download training data in various formats so that you can plug them into your machine learning workflow - Download a custom generate iPython Notebook to provide you with a starting point of how to create a model from your training data - Get suggestions from the app about things that might improve your trainging data
Screenshots
Verdict
The clearest difference is rating: OneOAK at 5.0 against ML Annotator's 3.0. ML Annotator's advantage is update cadence (every 3 days vs every 41 months) and ratings volume (4 vs 1). On price, 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
Both are free to download. Neither carries in-app purchases, so what you see is what you pay.
OneOAK holds the better App Store score, 5.0 against 3.0. Both are backed by a comparable volume of ratings — 1 and 4 respectively.
OneOAK ships an update every 41 months, ML Annotator every 3 days. The most recent releases landed on September 20, 2026 and September 7, 2026 respectively.
| Parameter | OneOAK | ML Annotator |
|---|---|---|
| Price | Free | Free |
| Rating | 5.0 (1 ratings) — better | 3.0 (4 ratings) |
| Positive reviews | — | 60.0% of reviews |
| Number of ratings | 1 | 4 — better |
| Update frequency | Every 41 months | Every 3 days — better |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Free | Free |
| Devices | iPhone, iPad, Mac | iPhone, iPad, iPod, Mac — better |
| Requires iOS | 17.4 | 15.0 — better |
| Further details — not scored | ||
| Size | 0 MB | 8 MB |
| Age rating | 4+ | 4+ |
| Developer | Gary Van Sluis | Dito Technologies LLC |
Customer experience
OneOAK
ML Annotator
In-app purchases
OneOAK
No in-app purchases
ML Annotator
No in-app purchases
