Software Alternatives, Accelerators & Startups

Scikit-learn VS ImageKit.io

Compare Scikit-learn VS ImageKit.io 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.

ImageKit.io logo ImageKit.io

Instant multi-platform image optimization
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • ImageKit.io Landing page
    Landing page //
    2022-09-28

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

ImageKit.io videos

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Category Popularity

0-100% (relative to Scikit-learn and ImageKit.io)
Data Science And Machine Learning
Image Optimisation
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Image Processing
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 ImageKit.io

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...

ImageKit.io Reviews

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Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than ImageKit.io. 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: about 1 year ago
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ImageKit.io mentions (13)

  • How to think about HTML responsive images
    Having the server decide the image format based on the accept header is simpler. Services like https://imagekit.io/ (no affiliation) can do that for you. - Source: Hacker News / about 2 months ago
  • Question Gallery WebApp Django or Flask?
    Hosting wise, I would reccomend pythonanywhere.com, combined with either https://imagekit.io or https://cloudinary.com. Source: about 1 year ago
  • Best way to store and serve images with node and mongodb
    Use any third-party service to store images like Cloudinary , imagekit etc... And store image URLs in your database. If you have fewer images you keep image URLs directly in your APIs. Source: over 1 year ago
  • free-for.dev
    Imagekit.io – Image CDN with automatic optimization, real-time transformation, and storage that you can integrate with existing setup in minutes. Free plan includes up to 20GB bandwidth per month. - Source: dev.to / over 1 year ago
  • Uploading files to image server using ImageKit and Multer in MERN stack
    We'll be using Multer to handle file uploads on our server and imagekit will do all our media heavy lifting. I chose these tools because I just found them easier to use and the latter has a very elaborate documentation (and a free tier too 😋). - Source: dev.to / over 1 year ago
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What are some alternatives?

When comparing Scikit-learn and ImageKit.io, 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.

Cloudinary - Cloudinary is a cloud-based service for hosting videos and images designed specifically with the needs of web and mobile developers in mind.

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

imgix - Real-time Image Processing. Resize, crop, and process images on the fly, simply by changing their URLs.

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

Cloudimage - Cloudimage.io is the easiest way to resize, store, and deliver your images to your customers through a rocket fast CDN.