HiveMQ
mosquitto
EMQX
MQTTBox
RabbitMQ
VerneMQ
Bevywise MQTTRoute
emqtt
NumPy
Pandas
OpenCV
Scikit-learn
Dataiku
Exploratory
htm.java
WEKA
HiveMQBased on our record, NumPy seems to be a lot more popular than HiveMQ. While we know about 107 links to NumPy, we've tracked only 3 mentions of HiveMQ. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Do you have a preference over cloudmqtt.com or hivemq.com? Does Azure this functionality? Source: over 1 year ago
If it's IoT data, I would first send it to a Cloud MQTT Broker (cloudmqtt.com or hivemq.com). These brokers handle the spotty unstable connectivity between themselves and MQTT/IoT devices or clients. Other systems will not handle this instability in connectivity very well. Source: over 1 year ago
HiveMQ | Landshut & Remote from: Germany, UK, Spain, Austria, Switzerland | Site Reliability Engineer / Full Stack Engineer HiveMQ (https://hivemq.com) is providing a highly scalable and reliable MQTT broker that has already been battle-tested by German industry leaders ranging from the automotive and energy industry to major Internet Service providers. Tech stack: Java, VueJS, Kubernetes, AWS/Azure,... - Source: Hacker News / over 2 years ago
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 3 months ago
Numpy: A library for scientific computing in Python. - Source: dev.to / 6 months ago
Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 7 months ago
A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 8 months ago
mosquitto - Eclipse Mosquitto is an open source (EPL/EDL licensed) message broker that implements the MQTT protocol versions 5.0, 3.1.1 and 3.1. Mosquitto is lightweight and is suitable for use on all devices
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
EMQX - EMQX is an open source MQTT 5.0 broker for mission-critical IoT scenarios, massively scalable and highly available clustering, running anywhere from edge to cloud.
OpenCV - OpenCV is the world's biggest computer vision library
MQTTBox - MQTTBox enables to create MQTT clients to publish or subscript topics, create MQTT virtual device...
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.