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Scikit-learn VS OpenCV

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

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

OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer...
Scikit-learn Landing Page
Scikit-learn Landing Page
OpenCV Landing Page
OpenCV Landing Page

Scikit-learn details

Data Science And Machine Learning Data Dashboard Data Science Tools

OpenCV details

Data Science And Machine Learning Data Dashboard Data Science Tools

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

OpenCV videos

AI Courses by

More videos:

  • - Practical Python and OpenCV

Category Popularity

0-100% (relative to Scikit-learn and OpenCV)

Social recommendations and mentions

Based on our record, OpenCV should be more popular than Scikit-learn. It has been mentiond 12 times since March 2021. We are tracking product recommendations and mentions on Reddit, HackerNews and some other platforms. They can help you identify which product is more popular and what people think of it.

Scikit-learn mentions (6)

  • Use Scikit-Learn and Runflow
    If you're not familiar with Scikit-learn and Runflow,. - Source: / 22 days ago
  • What Makes Python Libraries So Important For Data Science Learning?
    Next comes the complexity of drawing the maximum possible number of valuable insights. Using different python libraries such as Scikit-Learn, PyTorch, Pandas, etc., complications of data analysis can be solved within a minute. And the complexity associated with visualisation gets handled by other data visualisation libraries like Matploitlib, PyTorch, etc. - Source: Reddit / about 1 month ago
  • Introduction to Machine Learning with Python and
    The maths, specifically calculus and linear algebra, behind machine learning gets a bit hairy. We’ll be abstracting this away with the Python library scikit-learn, which makes it possible to do advanced machine learning in a few lines of Python. - Source: / 3 months ago
  • Something like The Odin Project but for Python and Machine Learning?
    I would recommend starting with scikit and some popular data set (e.g. titanic). - Source: Reddit / 4 months ago
  • Top 10 Python Libraries
    Scikit-learn is a free and open-source software for data analysis and data mining tasks. It is also used to build machine learning models and works efficiently with complex data. Scikit-learn is built atop other Python libraries, and hence it is interoperable with most of the other Python libraries (NumPy, SciPy, Pandas, etc.). - Source: / 4 months ago

OpenCV mentions (12)

  • What are some of the best open source AI frameworks/libraries
    OpenCV - The bread and butter of computer vision. Enough said. - Source: Reddit / 23 days ago
  • Controlling Robot Arm by Camera Mounted Birds Eye View
    It's OpenCV. You can see it aliased as cv2 as is common. - Source: Reddit / about 1 month ago
  • 10 Deep Learning Projects (Beginner & Advanced)
    Then you still have to implement the whole object detection pipeline, and you should learn about OpenCV here. A very important Computer Vision library that is used here for example to draw the bounding boxes. - Source: / about 2 months ago
  • QR Codes on Hololens 1?
    You might want to check out Vuforia ( and OpenCV ( - Source: Reddit / about 2 months ago
  • What is computer vision? And how it works.
    Computer vision requires lots of data for getting good accuracy. Two essential technologies are used to accomplish this: a type of machine learning called deep learning and a convolutional neural network (CNN) but now a days there are many pre-made libraries and frameworks available where you need not to know CNN or RNN. For eg: openCV. - Source: / 2 months ago

What are some alternatives?

When comparing Scikit-learn and OpenCV, 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.

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

Dataiku - Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

WEKA - WEKA is a set of powerful data mining tools that run on Java.

Exploratory - Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms. - is a Hierarchical Temporal Memory implementation in Java, it provide a Java version of NuPIC that has a 1-to-1 correspondence to all systems, functionality and tests provided by Numenta's open source implementation.

User reviews

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