More than 500 different modules(adapters) that can be interconnected with each other. E.g. Homematic or KNX can control HUE or sonos and vice versa.
ioBroker's answer
ioBroker's answer
Compatibility: ioBroker supports a vast range of devices and protocols, making it one of the most versatile smart home automation systems available. It is compatible with many popular brands and can integrate with virtually any smart device, offering a level of flexibility that might not be available with other platforms.
Open Source: As an open-source platform, ioBroker is free to use and continuously updated and improved by a community of developers. This allows for greater customization, transparency, and control over your home automation setup.
Scalability: ioBroker is designed to handle complex smart home setups. No matter how many devices you have or plan to add in the future, the platform is designed to scale and manage a large and diverse range of devices efficiently.
JavaScript and Blockly support: For those comfortable with programming, ioBroker offers the option to write scripts in JavaScript. For users who prefer a graphical interface, Blockly is available. This versatility can be appealing for both beginners and experienced users.
Data Logging: ioBroker has extensive data logging capabilities, allowing users to store, analyze, and visualize data from their smart devices over long periods of time. This can be incredibly valuable for monitoring energy usage, tracking trends, and optimizing your smart home setup.
Community and Support: ioBroker has a strong and active community of users and developers who can provide assistance, share ideas, and help troubleshoot any issues you may encounter.
ioBroker's answer
Mostly users are german speaking, but all documentation is primary in english.
ioBroker's answer
ioBroker is an open-source Internet of Things (IoT) platform that was developed with the aim to provide a unified and flexible solution for smart home automation. It's primarily driven by a community of enthusiasts and developers contributing to its ongoing development and expansion.
The project was initiated to overcome the limitations of existing smart home platforms, particularly the inability of many platforms to integrate with a wide variety of devices and brands. ioBroker was designed with a focus on compatibility, scalability, and flexibility, aiming to provide a solution that can integrate a vast array of smart devices, regardless of manufacturer or protocol, and handle complex home automation setups.
While the platform was initially more popular among the tech-savvy due to its need for more technical involvement, over time, efforts have been made to make it more user-friendly and accessible to a wider audience.
As an open-source project, the ongoing development of ioBroker is dependent on the contributions of its community, including software developers and end-users, who continually work on refining the software, expanding its compatibility with different devices, and improving its features.
ioBroker's answer
JavaScript, Redis, Mqtt, MUI-UI.
Based on our record, NumPy seems to be more popular. It has been mentiond 112 times since March 2021. 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.
How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 3 days ago
NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 4 days ago
NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 9 days ago
This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 11 days ago
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago
Home-Assistant.io - Home Assistant is an open-source home automation platform running on Python 3.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
openHAB - "empowering the smart home" - vendor and technology agnostic open source home automation
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Google Home - Set up, manage, and control your Chromecast, Chromecast Audio and Google Home devices.
OpenCV - OpenCV is the world's biggest computer vision library