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BuiltWith VS NumPy

Compare BuiltWith VS NumPy and see what are their differences

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

BuiltWith logo BuiltWith

Find out the technology behind websites

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • BuiltWith Landing page
    Landing page //
    2023-04-16
  • NumPy Landing page
    Landing page //
    2023-05-13

BuiltWith features and specs

  • Comprehensive Technology Profiling
    BuiltWith provides detailed information about the technologies that websites are using, including analytics tools, content management systems, e-commerce platforms, and more. This can be incredibly useful for market research and competitive analysis.
  • Market Reports
    The platform offers in-depth market reports that can help businesses understand technology trends across different industries. This data can be crucial for strategic planning and technology adoption decisions.
  • Lead Generation
    BuiltWith can be used to generate leads by identifying websites that use specific technologies. This helps sales teams target potential clients who are already using a competitor's tool or a complementary technology.
  • Customizable Alerts
    Users can set up alerts to get notified whenever a website starts or stops using specific technologies. This feature helps businesses stay updated with market shifts and competitor movements in real-time.
  • Ease of Use
    The interface is relatively user-friendly, making it easy for users to search for websites and technologies without requiring any advanced technical skills.

Possible disadvantages of BuiltWith

  • Pricing
    BuiltWith can be quite expensive, particularly for small businesses and startups. The high cost may make it inaccessible for companies with limited budgets.
  • Data Accuracy
    While generally reliable, the data provided by BuiltWith may not always be 100% accurate or up-to-date. This can sometimes lead to incorrect assumptions or decisions based on outdated information.
  • Limited Free Features
    The free version of BuiltWith offers limited features and capabilities, which may not be sufficient for in-depth research or analysis. Users often need to upgrade to a premium plan to access the full range of functionalities.
  • Complex Data
    The detailed data and extensive lists of technologies can sometimes be overwhelming to sift through without specialized knowledge or a clear strategy, making it less useful for casual users.
  • Dependency on External Data
    BuiltWith relies on external data sources, which means that any limitations or issues with these sources can affect the quality and comprehensiveness of the information provided.

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 BuiltWith

Overall verdict

  • Yes, BuiltWith is considered a good resource for analyzing the technology behind websites due to its comprehensive data and ease of use. It is widely used by professionals to gain a competitive edge and to streamline technology-related decisions.

Why this product is good

  • BuiltWith is a valuable tool for web developers, marketers, and businesses as it provides insights into the technology stack of any website. It helps in understanding market trends, gaining competitive intelligence, and making informed decisions for technology adoption.

Recommended for

  • Web developers looking to understand how different sites are built and which technologies are used.
  • Digital marketers aiming to gather competitive insights and trend analysis.
  • Businesses wanting to assess potential technology partners and competitors.
  • Investors conducting due diligence on companies by understanding their technological dependencies.

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.

BuiltWith videos

+ Add

How to Find Competitors Customers | BuiltWith Review | Kas Andz

More videos:

  • Review - Google Page Speed Tool, Comic-Con Website Review, and BuiltWith Anniversary by Matt@mywebbro.com

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

Category Popularity

0-100% (relative to BuiltWith and NumPy)

BuiltWith

NumPy

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

User comments

Share your experience with using BuiltWith and NumPy. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare BuiltWith and NumPy

BuiltWith Reviews

  1. Eleanor Bennett
    ยท Digital Marketing Specialist at Logit.io ยท
    Great for finding potential contacts

    A great tool to help you discover the technology being used by a variety of websites. I was impressed that upon signing up that I had full access to a free list of leads.

15 Best BuiltWith Alternatives 2022
Sometimes, BuiltWith may not fit your specific business needs. If so, weโ€™ve compiled our list of best BuiltWith alternatives you may want to consider for your profiling.
Source: rigorousthemes.com
8 Best SimilarWeb Alternatives (2019 UPDATE): Add These to Your Digital Tool Kit
BuiltWith is a truly comprehensive tool that will mine a ton of information from anyoneโ€™s site and serve it to you in a manner you will be able to crunch and use it. You might take your time since it is a lot of information to inform your decisions, which is a good thing.
Source: thedigitalmerchant.com
Best Similarweb Alternatives in 2019 to Spy on your Competitors
See business insights of your own business as well as get to know what keywords your competitors are using. Analyze your rivalsโ€™ budget and strategies. The top-notch companies tied with BuiltWith are Google, Adobe, Facebook, Amazon,eBay, and Paypal.
Source: affnext.com
The Best Email Marketing, Sales Prospecting, and Email Automation Software
Builtwith is a tool that helps in identifying sites that use specific web technologies. It identifies the technology spend, gathers the location information and vertical, among other option to create lead lists that are solid for websites by taking into account the internet footprint and technology usage.
Source: www.growthmarketingpro.com
73 Best SEO tools 2021 โ€“ The Most Epic List You Shouldnโ€™t Miss
BuiltWith offers a database of 7,000+ web technologies and more than 250 million websites to build lists for lead generation.
Source: blog.linkody.com

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

Social recommendations and mentions

BuiltWith might be a bit more popular than NumPy. We know about 162 links to it since March 2021 and only 122 links to NumPy. 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.

BuiltWith mentions (162)

  • What Qualities Does It Take to Be the Best Software Developer
    Evan You, creator of Vue.js, is a prime example. Vivek Nair, Co-Founder of BotGauge, notes that You โ€œcreated something that addresses real developer needs with clean logic and thoughtful design.โ€ Vue.js powers over 1.5 million websites in 2025, a testament to its scalability and developer trust, as reported by BuiltWith. Youโ€™s ability to build a framework independently, without corporate backing, underscores his... - Source: dev.to / about 1 year ago
  • Web apps built with Ruby on Rails
    There exist websites like https://builtwith.com so answer to your question is yes. - Source: Hacker News / over 1 year ago
  • Ask HN: Tech Stack Behind the Claude App?
    BuiltWith says the web client is NextJS which is interesting as ChatGPT made a big switch away to Remix IIRC. https://builtwith.com/?https%3a%2f%2fclaude.ai%2fnew. - Source: Hacker News / almost 2 years ago
  • Disney's Robots Use Rockets to Stick the Landing
    Also, wow that is an obsene amount of libraries they use: https://builtwith.com/?https%3a%2f%2fspectrum.ieee.org%2fdisney-robot-2668135204. - Source: Hacker News / about 2 years ago
  • What website frameworks are used to build these websites?
    I would say run both sites through https://builtwith.com/ to get what all they used in the building process. Source: over 2 years ago
View more

NumPy mentions (122)

View more

What are some alternatives?

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

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

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

WhatRuns - Extension that helps you identify technologies used on any website at the click of a button.

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

Elucify - A completely free software tool that uses crowdsourced data to find business email addresses

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

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