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NumPy VS WhatRuns

Compare NumPy VS WhatRuns and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

WhatRuns logo WhatRuns

Extension that helps you identify technologies used on any website at the click of a button.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • WhatRuns Landing page
    Landing page //
    2019-02-21

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.

WhatRuns features and specs

  • Ease of Use
    WhatRuns offers a user-friendly interface that makes it straightforward for users to identify technologies used on websites without requiring technical knowledge.
  • Comprehensive Technology Detection
    The tool can detect a wide range of technologies including frameworks, analytics tools, WordPress plugins, and more, providing a thorough analysis of websites.
  • Browser Extension
    WhatRuns is available as a browser extension, making it easily accessible and convenient to use directly within your web browser.
  • Freemium Model
    The tool offers a basic free tier, allowing users to access essential features without any cost. There is also a premium option for more advanced features.
  • Regular Updates
    WhatRuns frequently updates its database and functionality, ensuring that users get accurate and up-to-date information.

Possible disadvantages of WhatRuns

  • Limited Free Version
    While the free version is useful, it has limitations in terms of the depth of information and the number of queries you can perform.
  • Privacy Concerns
    Since WhatRuns scans websites and collects data, there could be privacy concerns regarding what data is collected and how it is used.
  • Dependency on Browser
    As a browser extension, it requires installation and could be affected by browser updates or compatibility issues.
  • False Positives/Negatives
    There might be occasional inaccuracies in technology detection, leading to false positives or negatives, which can be misleading.
  • Limited Support
    Support for users, particularly those using the free version, is limited and may not always be responsive or comprehensive.

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.

NumPy videos

+ Add

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

WhatRuns videos

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Category Popularity

0-100% (relative to NumPy and WhatRuns)

NumPy

WhatRuns

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Market Research
0 0%
Market Research
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Sales Automation
0 0%
Sales Automation
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 WhatRuns

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.
Source: www.analyticsvidhya.com
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

WhatRuns Reviews

15 Best BuiltWith Alternatives 2022
Compared to BuiltWith, WhatRuns is easier to use and shows a simple user interface with details you want to know about a site. It works exclusively as a browser extension that shows you specific technologies of a website open in the browser. You donโ€™t have to visit the WhatRuns website each time you want to collect data about a site.
Source: rigorousthemes.com

Social recommendations and mentions

Based on our record, NumPy seems to be more popular. It has been mentiond 122 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.

NumPy mentions (122)

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WhatRuns mentions (0)

We have not tracked any mentions of WhatRuns yet. Tracking of WhatRuns recommendations started around Mar 2021.

What are some alternatives?

When comparing NumPy and WhatRuns, 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.

Wappalyzer - Wappalyzer is a technology profilers and leads data provider. Create lists of websites and contacts that use certain technologies.

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

BuiltWith - Find out the technology behind websites

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

Similar Tech - SimilarTech offers a Sales Insights platform which helps companies uncover their ideal market by crawling the sourcecode of over 300M sites.

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