Software Alternatives, Accelerators & Startups

Scikit-learn VS AWS IoT

Compare Scikit-learn VS AWS IoT and see what are their differences

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

AWS IoT logo AWS IoT

Easily and securely connect devices to the cloud.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • AWS IoT Landing page
    Landing page //
    2023-04-28

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

AWS IoT videos

What is AWS IoT?

More videos:

  • Review - Introducción a AWS IoT
  • Review - AWS IoT in the Connected Home - AWS Online Tech Talks

Category Popularity

0-100% (relative to Scikit-learn and AWS IoT)
Data Science And Machine Learning
Data Dashboard
40 40%
60% 60
Data Science Tools
100 100%
0% 0
IoT Platform
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 Scikit-learn and AWS IoT

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...

AWS IoT Reviews

We have no reviews of AWS IoT yet.
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Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than AWS IoT. It has been mentiond 28 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.

Scikit-learn mentions (28)

  • 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 / 3 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 / 12 months 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
  • Help on using R for Machine Learning?
    Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: over 1 year ago
View more

AWS IoT mentions (8)

  • Automatically Applying Configuration to IoT Devices with AWS IoT and AWS Step Functions - Part 1
    In this blog post series, we will look at a simple example of modeling an IoT device process as a workflow, using primarily AWS IoT and AWS Step Functions. Our example is a system where, when a device comes online, you need to get external settings based on the profile of the user the device belongs to and push that configuration to the device. The system that holds the external settings is often a third party... - Source: dev.to / about 1 year ago
  • Building a serverless talking doorbell
    Iot - MQTT broker to send messages to the Raspberry Pi. - Source: dev.to / over 2 years ago
  • GME NFT/blockchain is not to be a stock market...it's bigger
    " Amazon Web Services offers a broad set of global cloud-based products including compute, storage, databases, analytics, networking, mobile, developer tools, management tools, IoT, security and enterprise applications. These services help organizations move faster, lower IT costs, and scale. AWS is trusted by the largest enterprises and the hottest start-ups to power a wide variety of workloads including: web and... Source: over 2 years ago
  • What is AWS IoT Core and how do I use it?
    AWS IoT Core - message broker between all devices and AWS. - Source: dev.to / over 2 years ago
  • Which Cloud Suite is preferable when the focus is more towards IoT/IIoT as potential future job search keyword?
    If you have to ask, then you should be using AWS by default. They have plenty of IoT services for you to fiddle around with and get started. Source: almost 3 years ago
View more

What are some alternatives?

When comparing Scikit-learn and AWS IoT, you can also consider the following products

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

ThingSpeak - Open source data platform for the Internet of Things. ThingSpeak Features

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

Particle.io - Particle is an IoT platform enabling businesses to build, connect and manage their connected solutions.

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

Blynk.io - We make internet of things simple