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CodeIgniter VS NumPy

Compare CodeIgniter VS NumPy and see what are their differences

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CodeIgniter logo CodeIgniter

A Fully Baked PHP Framework

NumPy logo NumPy

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

CodeIgniter features and specs

  • Performance
    CodeIgniter is known for its exceptional performance and fast execution, which is beneficial for applications requiring quick load times.
  • Documentation
    CodeIgniter offers comprehensive and clear documentation, making it easier for developers to understand and use the framework effectively.
  • Easy to Learn
    CodeIgniter's simple and straightforward syntax makes it relatively easy for beginners to learn and start developing applications quickly.
  • Lightweight
    The framework is lightweight and does not impose many dependencies or require a specific server environment, providing flexibility to developers.
  • Community Support
    CodeIgniter has a strong and active community, which means plenty of resources, forums, and add-ons are available for developers.
  • Built-in Security Features
    CodeIgniter comes with built-in security features like XSS filtering and CSRF protection, helping developers to secure their applications with minimal effort.
  • MVC Architecture
    The framework follows the Model-View-Controller (MVC) architecture, promoting clean code separation and better organization of the project.

Possible disadvantages of CodeIgniter

  • Lack of Modern Features
    CodeIgniter does not include many modern features found in other frameworks, such as built-in ORM or out-of-the-box RESTful API support.
  • Limited Modular Extensions
    It has fewer modular extensions compared to other frameworks like Laravel or Symfony, which can limit code reusability and scalability.
  • Manual Routing
    Routing in CodeIgniter is somewhat manual and less intuitive compared to other frameworks that offer more automatic and flexible routing mechanisms.
  • Outdated PHP Practices
    Some of the practices and conventions in CodeIgniter are considered outdated with respect to modern PHP development trends.
  • No Built-in Authentication
    CodeIgniter does not come with a built-in authentication system, requiring developers to implement their own or use third-party libraries.
  • Less Emphasis on Testing
    CodeIgniter has less built-in support and emphasis on unit testing compared to other frameworks like Laravel, making it harder to implement TDD or BDD.
  • Lack of Native Composer Support
    The framework's native support for Composer, PHP's dependency manager, is not as robust as other modern frameworks, which can complicate dependency management.

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.

CodeIgniter videos

+ Add

PHP CodeIgniter tutorial: What is CodeIgniter and why should I use it? | lynda.com

More videos:

  • Review - Laravel vs Codeigniter - A quick comparison for you to decide
  • Review - Review Codeigniter 4

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 CodeIgniter and NumPy)

CodeIgniter

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 CodeIgniter and NumPy

CodeIgniter Reviews

  1. Careem
    A PSR-compliant framework with diverse set of facilities and capabilities

    You can build any kinds of web apps and sites with this framework without consuming substantial server resources.

    🏁 Competitors: Lumen Framework
CakePHP vs CodeIgniter: Which PHP Framework is Best for Development?
CodeIgniter: CodeIgniter was developed by EllisLab and released in February 2006. It is known for its simplicity and speed, designed to help developers create full-featured web applications quickly. CodeIgniter emphasizes a lean and minimalistic approach, providing just enough to get the job done without imposing too many restrictions.
Source: blog.radwebhosting.com
Top 5 Laravel Alternatives
CodeIgniter is simpler to use for the majority of developers. Laravel’s convenience is matched only by its adherence to a small set of standards and guidelines. CodeIgniter also offers improved error handling and more leeway in terms of customization. Overall, in comparison of Laravel and CodeIgniter, CodeIgniter might be the simpler choice for most web programmers.
Source: www.etatvasoft.com
Framework review: Laravel vs CodeIgniter
Let's start with CodeIgniter first. It focuses on performance and speed. It offers a simple, easy-to-learn syntax, making it ideal for beginners. CodeIgniter uses its own proprietary Active Record implementation for database operations, which provides a simple and intuitive way to interact with data. Unlike Laravel, CodeIgniter does not enforce a specific architectural...
Source: infinyhost.com
10 Ruby on Rails Alternatives For Web Development in 2022
Laravel is a PHP web framework that was built by Taylor Otwell in 2011 as an attempt to replace the older framework CodeIgniter that lacked some important features, like built-in customer authentication and user authorization. The current version of the framework, Laravel 8.16 has a great infrastructure of web development tools that facilitate queue monitoring, server...
Source: www.ideamotive.co
The Most Popular PHP Frameworks to Use in 2021
Laravel is billed as “The PHP Framework for Web Artisans.” It was developed by Taylor Otwell, who wanted a framework with elements that CodeIgniter didn’t have, such as user authentication.
Source: kinsta.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 CodeIgniter. While we know about 119 links to NumPy, we've tracked only 10 mentions of CodeIgniter. 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.

CodeIgniter mentions (10)

  • 19+ Laravel Best Practices for Developers in 2024
    For history's sake, you should know that Laravel was built in place of the CodeIgniter framework as a modern replacement because the CodeIgniter framework missing important core features such as built-in support for user authentication and authorization. Since its initial launch in 2011, Laravel has implemented built-in support for localization, views, dealing with sessions, routing the request to the specific... - Source: dev.to / about 2 months ago
  • How to Install Codeigniter on a Local Server in 2025?
    Visit the CodeIgniter official download page and download the latest version. - Source: dev.to / 2 months ago
  • Top 12 PHP Frameworks For Web Development in 2024
    CodeIgniter is an open-source PHP framework with 18k+ stars and 7.8K forks on GitHub. It follows the Model-View-Controller (MVC) architecture and provides a structured way to create and organize code. It provides a set of libraries and an intuitive interface to accelerate PHP web app development. - Source: dev.to / about 1 year ago
  • Why I selected Elixir and Phoenix as my main stack
    Over the years I have tried different frameworks, mostly in PHP, like Code Igniter (2010), ProcessWire (2014) and Laravel (2015). - Source: dev.to / over 2 years ago
  • In One Minute : CodeIgniter
    CodeIgniter is an open-source php web application framework created by EllisLab Inc and it is now a project of British Columbia Institute of Technology. The framework implements a modified version of the Model-View-Controller design pattern. It is praised for its performance and the quality of its documentation. It's currently licensed under the MIT License, although the previous version was released under the... - 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 CodeIgniter 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.

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.

CakePHP - The Rapid Development Framework for PHP

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

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