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Craft CMS VS NumPy

Compare Craft CMS VS NumPy and see what are their differences

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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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Craft CMS logo Craft CMS

Content management system built on Yii PHP Framework

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Craft CMS Landing page
    Landing page //
    2023-10-22
  • NumPy Landing page
    Landing page //
    2023-05-13

Craft CMS features and specs

  • Customizability
    Craft CMS offers extensive customization options, making it ideal for complex and unique projects. Developers have full control over HTML and can use Craft's robust content modeling features.
  • User-Friendly Interface
    The admin panel is intuitive and user-friendly, which makes content management easy for non-technical users. The experience is smooth and modern, enhancing productivity.
  • High Performance
    Craft CMS is designed to be fast and efficient, offering excellent performance even with complex and data-rich websites.
  • Security
    It offers strong security features, regularly updates for vulnerabilities, and has built-in protection against common threats like SQL injection and XSS attacks.
  • Support and Community
    Craft CMS has a strong community and excellent support. Users have access to thorough documentation, a vibrant forum, and a Slack channel where they can get help and share knowledge.

Possible disadvantages of Craft CMS

  • Cost
    Craft CMS is not free and can be relatively expensive compared to other CMS options, especially for smaller projects or businesses with limited budgets.
  • Development Skills Required
    While it's user-friendly for content creators, setting up and customizing Craft CMS requires development skills, which might not be ideal for users without technical expertise.
  • Learning Curve
    For new users, particularly those without a background in web development, there can be a steep learning curve to fully utilize Craft CMS's features and capabilities.
  • Limited Plugins
    While the plugin ecosystem is growing, Craft CMS has fewer plugins available compared to more established CMS platforms like WordPress. This may limit functionality out-of-the-box.
  • Hosting Requirements
    Craft CMS has specific server requirements, and not all hosting providers may easily accommodate them. This can limit hosting options and potentially increase costs.

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 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.

Craft CMS videos

+ Add

What is Craft CMS 3?

More videos:

  • Review - A Tour of the Craft CMS

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 Craft CMS and NumPy)

Craft CMS

NumPy

CMS
100 100%
CMS
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Blogging
100 100%
Blogging
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 Craft CMS and NumPy

Craft CMS Reviews

Top 10 Web Content Management Systems
If you are not satisfied with non of these options, I encourage you to check out Craft CMS. An open-source powered all-in-one CMS, with highly active community for your needs. Cloudzy’s Craft CMS hosting, is a go to solution for all web admins and content publishers who are willing to manage their website with Craft CMS.
Source: cloudzy.com
34 Headless CMS That Should Be On Your Radar
Craft CMS features custom fields, drag-and-drop layout management, multi-site management, localization, asset management, live content previews, and a built-in image editor. Each user can also attain their own customizable dashboard.
Source: www.cmswire.com
9 Reasons I Think Craft is the Best CMS on the Market Today
Craft CMS is simple, minimalistic, agile and has every capability a modern CMS framework needs. Over the past ten years we have worked with every CMS you could think of (Wordpress, Drupal, Rails+ActiveAdmin, Ghost, Weebly, DjangoCMS, Jekyll, Joomla, Tumblr, Squarespace, Expression Engine, Statamic, Blogger)… here are the reasons why we’ve landed firmly with Craft as our №1...
Source: hackernoon.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 should be more popular than Craft CMS. 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.

Craft CMS mentions (32)

  • Matt Mullenweg Asks What Drama to Create in 2025, Community Reacts
    There was a whole rash of them a few years back. I'm not sure if any of them took off or what. https://ghost.org/ https://strapi.io/ https://getgrav.org/ https://craftcms.com/. - Source: Hacker News / 6 months ago
  • Different flavors of content management
    The most typical approach is having a CMS admin panel sit somewhere on the server; everyone with an account uses this. This is a very convenient approach, especially when working with a team. This way, many people can work on different articles simultaneously without worrying about potential conflicts or overwriting stuff. The only con is related to security - everyone can try to get inside, and if you forget to... - Source: dev.to / almost 2 years ago
  • Go with PHP
    PHP has a lot of top tier CMSes. IMHO bunch of them are even better than Statamic. Craft CMS (https://craftcms.com/) is a lot more mature database based CMS. Kirby (https://getkirby.com/) is better at flat-file and has a lot better admin interface. Twill (https://twillcms.com/) is better integrated in Laravel and is fully open-source. Statamic mostly feels like it's sitting besides Laravel and they call themselves... - Source: Hacker News / about 2 years ago
  • Stack to build and deploy a fully functional personal blog?
    You're basically looking for any CMS that supports headless mode. E.g. Strapi (https://strapi.io/, NodeJS based), CraftCMS (https://craftcms.com/, PHP based) or countless others. Source: about 2 years ago
  • A mate of mine built a cool little Tottenham Database showing the history of spurs.
    It's built on Craft CMS. Makes the relationships between elements (a match and a player, for example) super easy. Source: 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 / 5 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 / 9 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 / 10 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 / 10 months ago
View more

What are some alternatives?

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

WordPress - WordPress is web software you can use to create a beautiful website or blog. We like to say that WordPress is both free and priceless at the same time.

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

Drupal - Drupal - the leading open-source CMS for ambitious digital experiences that reach your audience across multiple channels. Because we all have different needs, Drupal allows you to create a unique space in a world of cookie-cutter solutions.

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

Statamic - Build better, easier to manage websites. Enjoy radical efficiency. It's everything you never knew you always wanted in a CMS.

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

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