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uBlock Origin VS NumPy

Compare uBlock Origin VS NumPy and see what are their differences

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uBlock Origin logo uBlock Origin

Popular and efficient blocker for Chromium, Chrome, Edge, Firefox, Opera, Safari, Thunderbird.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • uBlock Origin Landing page
    Landing page //
    2023-09-28
  • NumPy Landing page
    Landing page //
    2023-05-13

uBlock Origin features and specs

  • Efficient Performance
    uBlock Origin is highly optimized and lightweight, consuming fewer system resources compared to many other ad blockers, which helps in maintaining smoother browsing performance.
  • Customizability
    uBlock Origin offers extensive customization options. Users can create their own filters, whitelist websites, and adjust settings to suit their specific needs.
  • Open Source
    As an open-source project, uBlock Origin's source code is publicly available for review and contribution, ensuring transparency and fostering community trust.
  • Wide Range of Filters
    uBlock Origin supports numerous filter lists for blocking ads, trackers, and malware, ensuring a comprehensive browsing protection experience.
  • Improves Privacy and Security
    By blocking ads and trackers, uBlock Origin helps to enhance user privacy and security online, reducing the risk of data collection and potential malware exposure.

Possible disadvantages of uBlock Origin

  • Learning Curve
    For users new to ad blockers or those without technical knowledge, the wealth of customization options and settings might be overwhelming initially.
  • Potential Website Breakage
    In some cases, uBlock Origin might block essential elements of a website, causing parts of the site not to function correctly, which can disrupt the user experience.
  • Manual Updates for Filter Lists
    Some filter lists may require manual updates, which can be inconvenient for users who prefer a more hands-off approach.
  • Dependency on Community Support
    Being an open-source project, ongoing development and support depend heavily on community contributions, which might affect the speed and efficiency of updates and bug fixes.

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.

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

uBlock Origin videos

Trying uBlock Origin w/ Brief Review of Features

More videos:

  • Tutorial - How to use uBlock Origin to protect your online privacy and security | uBlock Origin tutorial 2018

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

Category Popularity

0-100% (relative to uBlock Origin and NumPy)
Security & Privacy
100 100%
0% 0
Data Science And Machine Learning
Ad Blockers
100 100%
0% 0
Data Science Tools
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 uBlock Origin and NumPy

uBlock Origin Reviews

The Best Ad Blockers for YouTube 2024
We also like that uBlock Origin is an open-source platform. Applications with open-source code often give transparency into vulnerabilities that can be found and fixed quickly. uBlock Origin also has advanced settings that allow users to customize the ad-blocking features. However, these are focused more on power users who understand how to manage and change these settings....
List of 10 Best Ad Blockers in 2024
With its powerful fеaturеs and widеsprеad popularity, uBlock Origin has еstablishеd itself as a rеliablе and еfficiеnt tool for blocking intrusivе advеrtisеmеnts. It is highly rеgardеd for its ability to еffеctivеly block ads across various platforms, including wеb browsеrs and mobilе dеvicеs. uBlock Origin boasts a lightwеight dеsign that minimizеs its impact on systеm...
Best Ad Blockers in 2023: Adblock Plus vs AdGuard vs uBlock Origin and More
Any of these options will block ads without a second thought, but they’re not all the same. uBlock Origin, for example, works on all types of ads, whereas Adblocker for YouTube blocks autoplay video ads only. Let’s take a closer look so you can see which of these options is the right one to block ads and trackers on your device.
Best Ad Blockers
uBlock Origin (not to be confused with uBlock or µBlock) is a stellar extension that runs on a wide variety of browsers. But be careful which version you’re installing — those with similar names are not the same program. The project went through several name changes as different people contributed or modified it, but the most advanced version and the one sustained by the...
22 NextDNS Alternatives
uBlock Origin is an effective ad blocker that is sleek on memory and CPU to lets you have a frustration-free atmosphere. uBlock Origin is a wide spectrum content blocker with security-enhanced functionality that doesn’t harm your online activities. More lists are also available for you so you can select from Fanboy’s Enhanced Tracking List, spam404, Dan Pollock’s host's...

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

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than uBlock Origin. While we know about 119 links to NumPy, we've tracked only 3 mentions of uBlock Origin. 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.

uBlock Origin mentions (3)

  • Donefirst reviews
    They're advertising on this sub? They can go fuck themselves. I've got ad-blocking enabled (and mods can't see ads on their own subs anyway) so I had no idea. I super recommend ublock origin for ad and content blocking. Source: almost 3 years ago
  • Browsing in 2022
    No, it does not. It's open source and non profit. If you want you could make your own adblock with it's source code. https://github.com/gorhill/ublock. Source: over 3 years ago
  • cURL to add native JSON support
    Firefox has its own "Enhanced Tracking Protection", Which is eclipsed by pretty much any specialized content blocker (such as uBlock Origin). Anyone who cares for that stuff has probably turned it off And installed a better extension for that, And for people who don't, well, it's completely unnecessary. Source: over 3 years ago

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 / 5 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 / 9 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 / 9 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 / 10 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 / 10 months ago
View more

What are some alternatives?

When comparing uBlock Origin and NumPy, you can also consider the following products

AdGuard - Surf the Web Ad-Free and Safely. Shield up!

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Adblock Plus - AdBlock Plus is a browser extension for Firefox, Chrome, Opera, and several other popular browsers that prevents intrusive ads like pop-ups and malicious code from appearing on websites you visit.

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

AdBlock - Ad blocker for Chrome, Safari and Opera on desktop and Safari for iOS devices.

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