Software Alternatives, Accelerators & Startups

ioBroker VS NumPy

Compare ioBroker VS NumPy and see what are their differences

ioBroker logo ioBroker

flexible and modular application for the IoT and Smarthome

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • ioBroker Landing page
    Landing page //
    2022-07-22

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.

  • NumPy Landing page
    Landing page //
    2023-05-13

ioBroker

$ Details
free
Platforms
Linux Windows Mac OSX REST API JavaScript
Release Date
2015 October

ioBroker videos

ioBroker: Rock64 Langzeit-Review - Bereue ich den Kauf?

More videos:

  • Review - iObroker Teil1 | Grundlagen/Übersicht | Review Smart Home Kombination 2019 [GERMAN/DEUTSCH]
  • Review - SMARTE ZENTRALE | ioBroker als kostenlose SmartHome-Automation

NumPy videos

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Category Popularity

0-100% (relative to ioBroker and NumPy)
Data Dashboard
78 78%
22% 22
Data Science And Machine Learning
Home
100 100%
0% 0
Data Science Tools
0 0%
100% 100

Questions and Answers

As answered by people managing ioBroker and NumPy.

What makes your product unique?

ioBroker's answer

  • Multi-Host support for Scalability and better connectivity (you can connect many ioBroker hosts together),
  • Comprehensive visualization(Vis, iQontrol, ...),
  • Flexibility (jsonl for simplisity as DB or Redis as high performance DB),
  • ioBroker is highly flexible and customizable...

Why should a person choose your product over its competitors?

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.

How would you describe your primary audience?

ioBroker's answer

Mostly users are german speaking, but all documentation is primary in english.

What's the story behind your product?

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.

Which are the primary technologies used for building your product?

ioBroker's answer

JavaScript, Redis, Mqtt, MUI-UI.

User comments

Share your experience with using ioBroker and NumPy. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare ioBroker and NumPy

ioBroker Reviews

16 Open Source Home Automation Platforms To Use In 2020
ioBroker appeared on the open source home automation spectrum at the beginning of 2017, but it went on to become one of the fastest growing communities in the game. With more than 21,000 users happy to chime in, ioBroker is a strong proposition that offers a total of around 300 integrations. That's great considering that the software is completely free to use. Why not give...
Source: ubidots.com

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Social recommendations and mentions

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.

ioBroker mentions (0)

We have not tracked any mentions of ioBroker yet. Tracking of ioBroker recommendations started around Mar 2021.

NumPy mentions (112)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    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
  • Documenting my pin collection with Segment Anything: Part 3
    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
  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 9 days ago
  • NumPy for Beginners: A Basic Guide to Get You Started
    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
  • 2 Minutes to JupyterLab Notebook on Docker Desktop
    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
View more

What are some alternatives?

When comparing ioBroker and NumPy, you can also consider the following products

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