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Foundation VS NumPy

Compare Foundation VS NumPy and see what are their differences

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Foundation logo Foundation

The most advanced responsive front-end framework in the world

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Foundation Landing page
    Landing page //
    2022-07-20
  • NumPy Landing page
    Landing page //
    2023-05-13

Foundation features and specs

  • Customizability
    Foundation offers a high level of customizability, allowing developers to adjust the framework to meet specific project requirements.
  • Responsive Design
    Foundation is built with mobile-first design principles, ensuring that applications look and function well on a variety of devices and screen sizes.
  • Semantic Code
    The framework encourages the use of semantic HTML, making code more readable and improving accessibility.
  • Range of Components
    Foundation provides a wide array of pre-built components such as buttons, forms, and navigation bars, which can accelerate development time.
  • Strong Community Support
    The Foundation community is active and provides extensive documentation, forums, and additional resources to help developers.
  • Flex Grid
    Foundation's Flex Grid system provides a powerful and flexible way to create responsive layouts that adapt to different screen sizes.

Possible disadvantages of Foundation

  • Learning Curve
    Due to its extensive features and customizability, Foundation can have a steep learning curve for beginners.
  • Size
    The full-featured version of Foundation can be quite large, potentially slowing down load times if not optimized properly.
  • Browser Compatibility Issues
    While generally robust, Foundation has been known to have occasional compatibility issues with certain browsers, necessitating additional fixes.
  • Dependency on jQuery
    Foundation relies on jQuery for several of its components, which can be seen as outdated or unnecessary by some modern developers.
  • Complexity for Small Projects
    For smaller projects, Foundation might be overkill in terms of features and setup, making simpler frameworks or no framework a more optimal choice.

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.

Foundation videos

+ Add

BEST & WORST NEW FOUNDATIONS

More videos:

  • Review - BEST & WORST NEW FOUNDATIONS
  • Review - BEST & WORST FOUNDATIONS | Luxury & Drugstore

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 Foundation and NumPy)

Foundation

NumPy

Design Tools
100 100%
Design Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
CSS Framework
100 100%
CSS Framework
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Foundation 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 Foundation and NumPy

Foundation Reviews

22 Best Bootstrap Alternatives & What Each Is Best For
The reason I picked Foundation for this list is its strong emphasis on creating responsive designs, a feature that many developers value in the era of mobile browsing. This framework differentiates itself with an ingrained mobile-first approach, ensuring that applications look great on smaller screens without sacrificing functionality or aesthetics on larger ones.
Source: thectoclub.com
15 Top Bootstrap Alternatives For Frontend Developers in 2024
Semantic, coherent, and fully customizable, the Foundation empowers developers to create designs that are not only visually appealing but also adaptable to various screen sizes. Starting with small devices, developers can gradually enhance the complexity of their designs, ensuring a fully responsive experience layer by layer.
Source: coursesity.com
9 Best Bootstrap Alternatives | Best Frontend Frameworks [2024]
Not only this, but they also have ‘Foundation for Emails’, which is a framework to code responsive HTML emails. Hence, whenever you are looking for an alternative to Bootstrap, do give Foundation a try.
Source: hackr.io
11 Best Material UI Alternatives
Foundation is a responsive front-end framework with CSS and JavaScript components for building modern, mobile-friendly websites. It offers a comprehensive toolkit with a modular approach, allowing developers to customize and tailor their designs to meet specific project requirements.
Source: www.uxpin.com
Top 10 Best CSS Frameworks for Front-End Developers in 2022
One of the most advanced and sophisticated UI frameworks, Foundation enables quick website development. Just like Bootstrap, Foundation follows a mobile-first approach and is fully responsive. It is very suitable for huge web applications that need a lot of styling. Foundation is customizable, flexible, and semantic. And, there are over 2k contributors on Github and decent...
Source: hackr.io

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

Based on our record, NumPy should be more popular than Foundation. It has been mentiond 119 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.

Foundation mentions (21)

  • Blazor #3 - How to Install Foundation into a Blazor Project
    Foundation is a mobile-first responsive front-end framework that provides a range of CSS and JavaScript components for creating websites quickly. It’s often seen as a competitor to Bootstrap, offering more flexibility and customization options. - Source: dev.to / 7 months ago
  • 100+ Must-Have Web Development Resources
    Foundation: An easy-to-use, powerful, and flexible front-end framework for building web applications on any device. - Source: dev.to / 7 months ago
  • Show HN: LangCSS – An AI Assistant for Tailwind
    Here is a thought you might want to consider and see if it makes sense. This is personal, but I also believe this is where design codes (especially CSS) are going to go. It is not going to be Tailwind or more new frameworks. Honestly, I think all of these Bootstrap, Foundation, and Tailwind, etc. Are like middle-layer abstractions are for designs that are neither small nor large. Bootstrap won because of the... - Source: Hacker News / 9 months ago
  • Front-end Framework: Comparing Bootstrap, Foundation and Materialize
    Foundation is another popular open-source front-end framework, similar to Bootstrap, but with its own set of features and design principles. It was created by ZURB a design and development company in 2011. And is also maintained by a community of developers. - Source: dev.to / about 1 year ago
  • I hate CSS: how can I build UIs?
    Are you cool with JS frameworks? If so, you can use a higher level of abstraction that takes care of the CSS for you. If you just want to mock something up, you can use a pre-built UI system / component framework and just put together UIs declaratively, without having to worry about the underlying CSS or HTML at all. Examples include https://mui.com/ and https://chakra-ui.com/ and https://ant.design/ Really easy... - Source: Hacker News / over 1 year ago
View more

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 / 4 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 / 8 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 / 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

What are some alternatives?

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

Bootstrap - Simple and flexible HTML, CSS, and JS for popular UI components and interactions

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

Materialize CSS - A modern responsive front-end framework based on Material Design

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

Semantic UI - A UI Component library implemented using a set of specifications designed around natural language

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

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