MQTT.fx vs Ray
Side-by-side comparison for macOS
MQTT.fx
7.0IoT route testing tool
Ray
8.0Debug with Ray to fix problems faster
| Metric | MQTT.fx | Ray |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| AI Score | 7.0 | 8.0 |
| 30-day Installs | 11 | 29 |
| 90-day Installs | 25 | 112 |
| 365-day Installs | 111 | 520 |
| Version | 5.12.0 | 2.8.2 |
| Auto-updates | No | Yes |
| Deprecated | No | No |
| GitHub Stars | 94 | 41.7K |
| GitHub Forks | 42 | 7.3K |
| Open Issues | - | 3.4K |
| License | MIT | Apache-2.0 |
| Language | C# | Python |
| Last GitHub Commit | 3y ago | 1mo ago |
| First Seen | May 2, 2016 | Aug 9, 2023 |
Reviews
MQTT.fx
MQTT.fx is a robust MQTT client tool designed for testing and debugging IoT setups. It supports MQTT v3.1.1 and offers features like message publishing and subscribing, making it ideal for developers working with IoT protocols.
MQTT.fx enables testing and debugging of MQTT brokers and clients by providing tools to publish, subscribe, and monitor MQTT messages.
Pros
- + Comprehensive support for MQTT v3.1.1
- + Useful for testing and debugging IoT setups
- + Open-source with MIT license
Cons
- - No auto-updates
- - Limited recent development activity
Ray
Ray is a powerful debugging tool designed for developers, particularly those working with AI and machine learning. It accelerates problem-solving in distributed computing environments, making it invaluable for data scientists and developers in ML workloads.
Ray helps developers debug and fix issues quickly, especially in AI and machine learning projects.
Pros
- + Strong community support with high GitHub engagement
- + Actively maintained with recent updates
- + Essential for AI and ML development
Cons
- - High number of open issues
- - Limited community discussion