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Scikit-learn VS ZeroMQ

Compare Scikit-learn VS ZeroMQ 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.

ZeroMQ logo ZeroMQ

ZeroMQ is a high-performance asynchronous messaging library.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • ZeroMQ Landing page
    Landing page //
    2021-10-01

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

ZeroMQ videos

Pieter Hintjens - Distribution, Scale and Flexibility with ZeroMQ

More videos:

  • Review - DragonOS LTS Review srsLTE ZeroMQ, tetra, IMSI catcher, irdium toolkit, and modmobmap (rtlsdr)

Category Popularity

0-100% (relative to Scikit-learn and ZeroMQ)
Data Science And Machine Learning
Stream Processing
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Data Integration
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 ZeroMQ

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...

ZeroMQ Reviews

We have no reviews of ZeroMQ yet.
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Social recommendations and mentions

ZeroMQ might be a bit more popular than Scikit-learn. We know about 35 links to it since March 2021 and only 28 links to Scikit-learn. 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 / 11 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: about 1 year ago
View more

ZeroMQ mentions (35)

  • Omegle is Gone, What Will Fill It's Gap?
    In this post from 2011, the creator of Omegle, Leif Brooks, explains what technology is used, including Python and a library called gevent for the backend. On top of that, Adobe Cirrus is used for streaming video. Though this post was 12 years ago, it is valuable to know what a web application like Omegle requires. A modern library that may provide some functionality for a text chat at a minimum may be... Source: 6 months ago
  • Video Streaming at Scale with Kubernetes and RabbitMQ
    They might be thinking of something like ZeroMQ, which is pretty well liked: https://zeromq.org/ That said, I wouldn't call RabbitMQ that heavyweight myself, at least when compared to something like Apache Kafka. - Source: Hacker News / 8 months ago
  • learn by doing vs learn by course?
    If you want to learn message passing in an environment you're familiar with, you should check out ZeroMQ. It's a C++ lib for socket abstraction, it's immensely useful in distributed systems, it can also do in-process message passing, and it's got bindings/ports for C and Rust. Source: 12 months ago
  • Shipping large ML models with electron
    Inspired by the IDE language server protocol, I created an API interface between the electron and the Python ML interface. ZeroMQ turned out be an invaluable resource as a fast and lightweight messaging queue between the two. - Source: dev.to / about 1 year ago
  • how to display constantly changing data from a database in real time
    If you really need it live, like for a chat or auctions you can use https://zeromq.org/ over websockets. Source: over 1 year ago
View more

What are some alternatives?

When comparing Scikit-learn and ZeroMQ, 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.

RabbitMQ - RabbitMQ is an open source message broker software.

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

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

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

Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.