2.9.0 Safe to install
MQTTAnalyzer is an iOS application that enables users to connect to their MQTT broker and subscribe to a specific topic.
If you are interested in providing feedback on this application, please take a moment to leave a review. Your input is appreciated.
For feature requests or issue reporting, we encourage users to submit an issue ticket on GitHub. Your insights, along with your usage scenarios, are valuable in enhancing this application collaboratively.
This application is open-source, crafted in Swift utilizing SwiftUI.
Key Features:
- Authentication options with username/password and/or client certificates
- Connection via MQTT or Websocket
- SSL/TLS support
- Compatibility with self-signed certificates
- MQTT 3.1.1 and MQTT 5 support
- Siri shortcuts available for message publishing and retrieval
- Data visualization through charts for enhanced comprehension
- Configuration of multiple broker settings
- Subscription to numerous topics
- Browsing mode options for organizational efficiency
- Message grouping based on topics
- Extensive search capabilities for topics and payload content
- JSON formatting and highlighting for better readability
- Message publishing functionality embedded within the application
- Form-based JSON message publishing support
- Synchronization of settings facilitated by a private iCloud database
- Ability to pause active connections as needed
- Simultaneous connection support for multiple brokers
- Binary payload examination through the hex viewer
- Ready-to-use settings presets tailored for AWS IoT integration
- No cost involved; devoid of any advertisements
- The application is built as open-source software
Overview
MQTTAnalyzer is a Freeware software in the category System Utilities developed by Philipp Arndt.
The latest version of MQTTAnalyzer is 2.9.0, released on 05/14/2024. It was initially added to our database on 05/14/2024.
MQTTAnalyzer runs on the following operating systems: iOS.
Users of MQTTAnalyzer gave it a rating of 4 out of 5 stars.
Pros
- User-friendly interface for analyzing MQTT traffic
- Ability to monitor MQTT communication in real-time
- Support for multiple platforms including Windows, macOS, and Linux
- Provides detailed packet analysis and visualization tools
- Allows for customization of monitoring and filtering options
Cons
- Limited support for advanced data manipulation and scripting
- May not have as many features as some other MQTT analysis tools
- Requires some technical knowledge of MQTT protocol to fully utilize its capabilities
FAQ
What is MQTTAnalyzer?
MQTTAnalyzer is a tool developed by Philipp Arndt that allows users to analyze MQTT messaging traffic and visualize the data exchanged between MQTT clients and brokers.
What platforms does MQTTAnalyzer support?
MQTTAnalyzer is compatible with various platforms including Windows, macOS, and Linux.
How do I install MQTTAnalyzer?
You can download the latest version of MQTTAnalyzer from the official website or its GitHub repository, and follow the installation instructions provided for your specific operating system.
Is MQTTAnalyzer free to use?
Yes, MQTTAnalyzer is available as a free open-source tool.
Can I use MQTTAnalyzer for commercial purposes?
Yes, since MQTTAnalyzer is open source, you can use it for commercial purposes as long as you comply with its licensing terms.
What types of data can I analyze with MQTTAnalyzer?
You can analyze various types of data including topics, messages, subscriptions, and QoS levels of the MQTT traffic.
Does MQTTAnalyzer support encrypted connections?
Yes, MQTTAnalyzer supports SSL/TLS for secure connections to MQTT brokers.
Can I visualize the data in real-time using MQTTAnalyzer?
Yes, MQTTAnalyzer provides real-time visualization of the messaging data which allows for immediate analysis.
Is there documentation available for using MQTTAnalyzer?
Yes, detailed documentation and user guides are available on the official website and GitHub repository.
How can I contribute to the development of MQTTAnalyzer?
You can contribute by reporting issues, suggesting features, or submitting pull requests on its GitHub repository.
Screenshots (Click to view larger)
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