Best MQTT Brokers for Python

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Compare the Top MQTT Brokers that integrate with Python as of December 2025

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This a list of MQTT Brokers that integrate with Python. Use the filters on the left to add additional filters for products that have integrations with Python. View the products that work with Python in the table below.

What are MQTT Brokers for Python?

MQTT brokers are message brokers that allow clients to communicate with each other in a publish/subscribe model. They are designed for machine-to-machine communication and can be used in many scenarios such as home automation, healthcare, and industrial control systems. MQTT brokers are typically lightweight and efficient, using minimal resources in order to facilitate real-time messaging. Compare and read user reviews of the best MQTT Brokers for Python currently available using the table below. This list is updated regularly.

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    FrameworX

    FrameworX

    Tatsoft

    Tatsoft’s FrameworX is the complete, modern SCADA and IIoT platform for building high-performance industrial applications. Designed for edge-to-enterprise use, it unifies operations, data, and AI under one scalable, .NET-based architecture. Features include real-time data modeling, historian, alarms, reports, audit trails, scripting in C#, VB.NET, JavaScript, and Python, plus 100+ native drivers for PLCs, DCS, OPC, and MQTT (broker/client/SparkplugB). Build once—deploy anywhere with zero client installs and full web, mobile, and desktop access. Includes every module from day one: Devices, Alarms, Historian, Reports, Security, and DevOps tools. Proven in 5,000+ global deployments, FrameworX powers mission-critical operations across industries with reliability, unlimited scalability, and transparent licensing. (FrameworX was formerly known as FactoryStudio.)
    Starting Price: $750
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  • 2
    Red Hat AMQ
    ​Red Hat AMQ is a flexible messaging platform that delivers information reliably, enabling real-time integration and connecting the Internet of Things (IoT). Based on open source communities like Apache ActiveMQ and Apache Kafka, it supports various messaging patterns to integrate applications, endpoints, and devices quickly and efficiently, enhancing enterprise responsiveness and agility. AMQ facilitates data sharing between microservices and other applications with high throughput and low latency. AMQ supports connectivity from client programs written in multiple languages. It defines an open-wire protocol for messaging interoperability, allowing enterprises to deploy various distributed messaging solutions to meet evolving business requirements. Backed by Red Hat's award-winning support and services, AMQ has a track record of supporting mission-critical applications.
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