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CakePHP VS NumPy

Compare CakePHP VS NumPy and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
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Contents:
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  3. » Reviews
  4. » Alternatives

CakePHP logo CakePHP

The Rapid Development Framework for PHP

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • CakePHP Landing page
    Landing page //
    2023-10-21
  • NumPy Landing page
    Landing page //
    2023-05-13

CakePHP features and specs

  • Structured MVC Framework
    CakePHP follows the Model-View-Controller (MVC) architectural pattern, which provides a clear separation of concerns, making the application more organized and maintainable.
  • Built-in ORM
    CakePHP includes a powerful Object-Relational Mapping (ORM) system which simplifies database interactions and promotes the use of PHP objects instead of writing raw SQL queries.
  • Convention Over Configuration
    CakePHP follows the 'convention over configuration' philosophy, which reduces the need for extensive configuration and allows developers to quickly set up new projects.
  • Security Features
    The framework comes with built-in security features like input validation, SQL injection prevention, and CSRF protection, which help in building safer applications.
  • Active Community
    CakePHP has an active and supportive community, which provides a wealth of plugins, tutorials, and help through forums and other online resources.

Possible disadvantages of CakePHP

  • Learning Curve
    For developers who are new to MVC frameworks or the conventions used by CakePHP, there can be a steep learning curve initially.
  • Performance Overhead
    Due to its extensive features and abstractions, CakePHP can sometimes have a higher performance overhead compared to lightweight frameworks, especially in high-traffic applications.
  • Limited Flexibility
    While conventions can be beneficial, they may also limit flexibility for developers who prefer to structure their projects differently or need to implement custom solutions.
  • Updates and Compatibility
    Major updates to the framework might introduce breaking changes, requiring existing projects to undergo significant modifications to stay up-to-date.

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.

CakePHP videos

+ Add

CakePHP 3.7 Standards and MySQL Database Review

More videos:

  • Tutorial - CakePHP 3 Tutorial - part 1: Introduction & Installation

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 CakePHP and NumPy)

CakePHP

NumPy

Web Frameworks
100 100%
Web Frameworks
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Developer Tools
100 100%
Developer Tools
0% 0
Data Science Tools
0 0%
Data Science Tools
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 CakePHP and NumPy

CakePHP Reviews

CakePHP vs CodeIgniter: Which PHP Framework is Best for Development?
CakePHP: CakePHP was released in April 2005 by Larry Masters. It is influenced by the concepts of Ruby on Rails and emphasizes convention over configuration, aiming to make web development fast and easy. CakePHP has undergone significant evolution, with the latest versions providing advanced features while maintaining backward compatibility.
Source: blog.radwebhosting.com
Top 5 Laravel Alternatives
CakePHP is less complicated to work with than Laravel. CakePHP’s stated goal is to streamline the processes of developing, deploying, and maintaining Web Apps. The clean MVC layout makes it easy to pick up and use.
Source: www.etatvasoft.com
Top 10 Phoenix Framework Alternatives
CakePHP offers multiple features like code generation and app scaffolding that accelerates production speeds and saves development costs.
Source: blog.back4app.com
The Most Popular PHP Frameworks to Use in 2021
For example, the CakePHP framework has the Bake command-line tool which can quickly create any skeleton code that you need in your application.
Source: kinsta.com
Top 9 PHP Frameworks For Web Development In 2021
CakePHP is an open-source web development PHP framework. It’s ranked 6th in PHP Benchmarks, just above the Laravel web development framework. The newly released v4.0 comes with a renovated skeleton design and provides APIs to enable developers for rapid application development. On GitHub, it has 8.3k+ stars and 555 contributors. For commercial support, you have cakeDC....
Source: www.lambdatest.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

Based on our record, NumPy seems to be a lot more popular than CakePHP. While we know about 119 links to NumPy, we've tracked only 10 mentions of CakePHP. 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.

CakePHP mentions (10)

  • How to Use ServBay to Create and Run a CakePHP Project
    CakePHP is an open-source PHP web framework designed to help developers build web applications quickly. It is based on the MVC (Model-View-Controller) architecture and provides a powerful toolkit to simplify common development tasks such as database interactions, form handling, authentication, and session management. - Source: dev.to / 11 months ago
  • Top 12 PHP Frameworks For Web Development in 2024
    CakePHP is an open-source PHP framework for web development with 8.7k stars and 3.5k forks on GitHub. It offers APIs that enable developers to develop applications quickly. It allows you to create highly secure and scalable web applications, including social networks, eCommerce, and online collaboration platforms. - Source: dev.to / about 1 year ago
  • Any suggestions for lighter frameworks than Laravel?
    Give https://cakephp.org/ a try. It also is one of the oldest ones out there, so quite mature and stable while being rather lightweight. Serving JSON API seems like a good fit. Source: about 2 years ago
  • Which PHP Framework Should You Use in 2023?
    You can download it and review the documentation here: https://cakephp.org/. - Source: dev.to / over 2 years ago
  • My Workflow
    As the name of the service says it will work best with Laravel but it is not a problem to modify code from other frameworks to make it work the same way. I have several applications created this way in CakePHP. I have this set to manual after clicking the deploy button, but if you want you can turn on quick deploy and then it will publish the application after a push to the main branch (or another one, depending... - Source: dev.to / over 2 years 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 / 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

What are some alternatives?

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

Laravel - A PHP Framework For Web Artisans

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

CodeIgniter - A Fully Baked PHP Framework

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

Django - The Web framework for perfectionists with deadlines

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

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