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NumPy VS Oxylabs

Compare NumPy VS Oxylabs and see what are their differences

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Oxylabs logo Oxylabs

A web intelligence collection platform and premium proxy provider, enabling companies of all sizes to utilize the power of big data.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • 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

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

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

NumPy videos

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

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 NumPy 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 NumPy and Oxylabs

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

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, NumPy seems to be a lot more popular than Oxylabs. While we know about 119 links to NumPy, we've tracked only 9 mentions of Oxylabs. 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.

NumPy mentions (119)

  • Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
    The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 3 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 7 months ago
  • Intro to Ray on GKE
    The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 8 months ago
  • Streamlit 101: The fundamentals of a Python data app
    It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 9 months ago
  • A simple way to extract all detected objects from image and save them as separate images using YOLOv8.2 and OpenCV
    The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 9 months 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 NumPy 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.

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

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.

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

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