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Scikit-learn VS Oxylabs

Compare Scikit-learn VS Oxylabs 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.

Oxylabs logo Oxylabs

A web intelligence collection platform and premium proxy provider, enabling companies of all sizes to utilize the power of big data.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Oxylabs Landing page
    Landing page //
    2023-06-02

Over the years in the market, Oxylabs has become a global leader in the web intelligence acquisition industry and has earned the trust of 3,500+ clients worldwide, including dozens of Fortune Global 500 companies, academia, and researchers.

Oxylabs offers one of the largest proxy pools in the market—102M+ IPs in 195 countries. The high success rates of its Web Scraper API and Web Unblocker enable customers to maintain robust data-gathering infrastructures to power their businesses.

Clients rely on Oxylabs' premium service for market research, ad verification, brand protection, travel fare aggregation, SEO monitoring, pricing intelligence, and more.

Oxylabs

Website
oxylabs.io
$ Details
paid Free Trial $8.0 (per GB)
Platforms
Web Windows Mac OSX Android Google Chrome Browser
Release Date
2015 January

Scikit-learn features and specs

  • Ease of Use
    Scikit-learn provides a high-level interface for common machine learning algorithms, making it easy for beginners and professionals to implement complex models with minimal coding.
  • Extensive Documentation and Community Support
    The library has comprehensive documentation and a large, active community. This makes it easy to find tutorials, examples, and solutions to common problems.
  • Integration with Other Libraries
    Scikit-learn integrates well with other scientific computing libraries such as NumPy, SciPy, and pandas, allowing for seamless data manipulation and analysis.
  • Variety of Algorithms
    It offers a wide array of machine learning algorithms for tasks such as classification, regression, clustering, and dimensionality reduction.
  • Performance
    Designed with performance in mind, many of the algorithms are optimized and some even support multicore processing.

Possible disadvantages of Scikit-learn

  • Limited Deep Learning Support
    Scikit-learn is primarily focused on traditional machine learning algorithms and does not offer support for deep learning models, unlike libraries like TensorFlow or PyTorch.
  • Not Ideal for Large-Scale Data
    While Scikit-learn performs well for moderate-sized datasets, it may not be the best choice for extremely large datasets or big data applications.
  • Lack of Online Learning Algorithms
    The library has limited support for online learning algorithms, which are useful for scenarios where data arrives in a stream and model needs to be updated incrementally.
  • Less Flexibility in Customization
    It can be less flexible compared to lower-level libraries when highly customized or specific implementations are needed.
  • Dependency Overhead
    Scikit-learn relies on several other Python libraries like NumPy and SciPy, which might require users to manage multiple dependencies.

Oxylabs features and specs

  • Residential Proxies
  • Mobile Proxies
  • Datacenter Proxies
  • Dedicated Datacenter Proxies
  • ISP Proxies
  • Web Scraper API
  • Web Unblocker
  • Company Datasets
  • E-Commerce Product Datasets
  • Job Postings Datasets
  • Community and Code Datasets
  • Product Review Datasets

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

Oxylabs videos

Oxylabs Residential Proxy Self-Service Tutorial | Oxylabs

More videos:

  • Tutorial - Python Web Scraping Tutorial: Step-by-Step
  • Demo - Oxylabs Datacenter Proxies
  • Demo - Oxylabs Residential Proxies
  • Review - How to Choose the Best Proxies?

Category Popularity

0-100% (relative to Scikit-learn and Oxylabs)
Data Science And Machine Learning
Proxy
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Residential Proxies
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 Oxylabs

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...

Oxylabs Reviews

Top 10 Alternatives to Bright Data (formerly Luminati Proxy Networks)
Oxylabs remains the number aggressive competitor of Bright Data – they have even had a case to settle in the court in the past. If you wouldn’t want to use Bright Data proxies, then you might as well avoid Oxylabsas it is everything you hate in Bright Data and even worse. Aside from the pricing aspect, Oxylabs have been found to engage in some unethical practices and scam...
17 BEST Residential Proxies to Buy in 2022 (Cheap & Premium)
OxyLabs has the largest proxy network with more than 100 million IP addresses. Due to the large proxy pool, you can unlock every site in the world regardless of where you live.
Source: earthweb.com
10 Best Free Online Proxy Server List of 2022 [VERIFIED]
Oxylabs offers an innovative proxy service for gathering the data at a scale. It offers the solutions of Datacenter proxies, Residential Proxies, Next-Gen Residential Proxies, and Real-time Crawler. Oxylabs’® self-service dashboard will give you detailed statistics of proxy usage. It helps with the creation of sub-users, whitelisting of IPs, etc.

Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than Oxylabs. It has been mentiond 31 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 (31)

  • Must-Know 2025 Developer’s Roadmap and Key Programming Trends
    Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 3 months ago
  • 🚀 Launching a High-Performance DistilBERT-Based Sentiment Analysis Model for Steam Reviews 🎮🤖
    Scikit-learn (optional): Useful for additional training or evaluation tasks. - Source: dev.to / 5 months ago
  • 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 / 11 months 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 / about 1 year 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 / almost 2 years ago
View more

Oxylabs mentions (9)

  • Cheap Residential Proxy: Affordable and Reliable Proxy Service for Anonymous Browsing
    Utilize Residential Proxies: Residential proxies come with the advantage of having whitelisted IPs tied to real devices, making them reliable for web scraping and anonymous browsing. Providers like Oxylabs, SOAX, and NetNut offer residential proxy services that can cater to your specific needs. Source: over 1 year ago
  • Scraping with puppeteer and export in JSON format
    To begin scraping data, you have to decide which platform data you want to scrap. While it is easy to scrap data, some platforms prevent access to scraping of it data and you will have to use a third-party tool like ZenRows or Oxylabs just to mention a few. - Source: dev.to / over 1 year ago
  • Best Proxy Website? Reddit recommendations?
    Have you tried Oxylabs? They have both residential and datacenter proxies. But I’ve heard their speed is not that great, so do your research. Source: almost 2 years ago
  • Everytime when I ask someone what they watch movies on
    Just know that this is what they do as a side gig using their clients as endpoints. Source: about 2 years ago
  • Need help with Storm Proxies
    Ok ended up just going with oxylabs.io. Couldn't figure it out. Source: over 2 years ago
View more

What are some alternatives?

When comparing Scikit-learn and Oxylabs, 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.

Bright Data - World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.

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

Smartproxy - Smartproxy is perhaps the most user-friendly way to access local data anywhere. It has global coverage with 195 locations, offers more than 55M residential proxies worldwide and a great deal of scraping solutions.

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

NetNut.io - Residential proxy network with 52M+ IPs worldwide. SERP API, Website Unblocker, Professional Datasets.