ML Annotator vs Foxglove WebSocket Bridge
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
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
Foxglove WebSocket Bridge
Stream robotics and sensor data from your iOS device directly to Foxglove Studio. This application serves as a demonstration, providing libraries and examples to help developers build their own custom servers for real-time data visualization.
- Stream sensor data from iOS
- Integrates with Foxglove Studio
- Demonstrates WebSocket Protocol
- Provides libraries and examples
- Open-source code available
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Stream sensor data from your iOS device to Foxglove. This app demonstrates how a custom server can use the Foxglove WebSocket Protocol to stream robotics data into Foxglove. Write your own server starting with the libraries and examples provided at https://github.com/foxglove/ws-protocol. View the source code for this app at https://github.com/foxglove/foxglove-ios-bridge. For further documentation on how to use Foxglove, visit https://docs.foxglove.dev/. ROS and the “nine dots” ROS logo are trademarks of Open Source Robotics Foundation.
Screenshots
Verdict
The clearest difference is rating: Foxglove WebSocket Bridge at 5.0 against ML Annotator's 3.0. ML Annotator's advantage is update cadence (every 3 days vs monthly) and device support (4 vs 2). On price, ratings volume, ads and in-app purchases 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.
Foxglove WebSocket Bridge holds the better App Store score, 5.0 against 3.0. Both are backed by a comparable volume of ratings — 4 and 3 respectively.
ML Annotator ships an update every 3 days, Foxglove WebSocket Bridge monthly. The most recent releases landed on September 22, 2026 and September 25, 2026 respectively.
| Parameter | ML Annotator | Foxglove WebSocket Bridge |
|---|---|---|
| Price | Free | Free |
| Rating | 3.0 (4 ratings) | 5.0 (3 ratings) — better |
| Positive reviews | 60.0% of reviews | — |
| Number of ratings | 4 — better | 3 |
| Update frequency | Every 3 days — better | Monthly |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Free | Free |
| Devices | iPhone, iPad, iPod, Mac — better | iPhone, iPad |
| Requires iOS | 15.0 — better | 16.0 |
| Further details — not scored | ||
| Size | 8 MB | 4 MB |
| Age rating | 4+ | 4+ |
| Developer | Dito Technologies LLC | Foxglove |
Customer experience
ML Annotator
Foxglove WebSocket Bridge
In-app purchases
ML Annotator
No in-app purchases
Foxglove WebSocket Bridge
No in-app purchases
Questions
Is ML Annotator free?
Is Foxglove WebSocket Bridge free?
Which has better reviews, ML Annotator or Foxglove WebSocket Bridge?
Do ML Annotator or Foxglove WebSocket Bridge have ads?
Which is updated more often, ML Annotator or Foxglove WebSocket Bridge?
Other comparisons
