Software Alternatives, Accelerators & Startups

openHAB VS Scikit-learn

Compare openHAB VS Scikit-learn and see what are their differences

openHAB logo openHAB

"empowering the smart home" - vendor and technology agnostic open source home automation

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • openHAB Landing page
    Landing page //
    2021-09-26
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

openHAB videos

Home Automation and Security with openHAB / Home Assistant / Smartthings

More videos:

  • Review - Live with BK-Hobby - Comparing Home Assistant and OpenHAB
  • Demo - openHAB 2 HABpanel UI Demo | Quick How to get started guide

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category Popularity

0-100% (relative to openHAB and Scikit-learn)
Home
100 100%
0% 0
Data Science And Machine Learning
Data Dashboard
67 67%
33% 33
Data Science Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare openHAB and Scikit-learn

openHAB Reviews

10 n8n.io Alternatives
openHAB is a technology and vendor agnostic open-source automation software for your home that brings various efficient features. This home automation software is written entirely in Java and deployed on-premises and connects to services and devices from more than one vendor. Actions including switching on lights, turning appliances on and off, and more are triggered by...
9 Best home assistant apps for Android & iOS
The openHAB application supports devices from different brands and manufacturers, such as Amazon or Sonos, Chromecast, and Philips. In total, there are more than 2 hundred settings that are designed to support communication between devices.
List of Open Source Home Automation Software
But it also supports cloud in case the user wishes to avail of their services, giving the user more choice and freedom. OpenHAB supports Amazon Alexa, Apple HomeKit, Google Assistant, and IFTTT. OpenHAB is your getaway ticket from manufacturer-specific apps that cause a lot of frustration. It comes with plugin-ready architecture, which helps the developers add new services...
Source: linuxhint.com
16 Open Source Home Automation Platforms To Use In 2020
We can't start this list without mentioning openHAB, one of the strongest players in the open source community. With almost half a million posts on their forums and 33,000 members, openHAB is constantly improving upon its initial offering. The platform can integrate with over 1500 devices from the likes of Sony, Pioneer, LG, Samsung, and much more. openHAB is free-to-use...
Source: ubidots.com
OpenHab vs Home Assistant vs Domoticz – Let’s get down to Business
OpenHab2 was released in 2017 with the idea of reaching a less technical audience. The new release includes Paper UI, a new web UI that allows you to do a lot of the configurations without having to edit files. In principle this is great, but there is a caveat. Paper UI still doesn´t support all the features in OpenHab so you still have to go and do some of the...

Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...

Social recommendations and mentions

Based on our record, Scikit-learn seems to be a lot more popular than openHAB. While we know about 29 links to Scikit-learn, we've tracked only 1 mention of openHAB. 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.

openHAB mentions (1)

  • Welcome to the 21st century, us. Don’t know how we did it before this 😂
    You can start on a general home automation like openhab.org. Source: almost 2 years ago

Scikit-learn mentions (29)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 12 days ago
  • How to Build a Logistic Regression Model: A Spam-filter Tutorial
    Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 4 months ago
  • Link Prediction With node2vec in Physics Collaboration Network
    Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / about 1 year ago
  • WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point
    The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago
  • PSA: You don't need fancy stuff to do good work.
    Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago
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What are some alternatives?

When comparing openHAB and Scikit-learn, 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.

ioBroker - flexible and modular application for the IoT and Smarthome

OpenCV - OpenCV is the world's biggest computer vision library

Google Home - Set up, manage, and control your Chromecast, Chromecast Audio and Google Home devices.

NumPy - NumPy is the fundamental package for scientific computing with Python