Software Alternatives, Accelerators & Startups

NumPy VS Shogun

Compare NumPy VS Shogun and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Shogun logo Shogun

Shogun is website design software for e-commerce applications. The program is specifically designed as an app for Shopify and BigCommerce. The software is maintained by Shogun Labs, Inc.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Shogun Landing page
    Landing page //
    2023-10-14

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.

Shogun features and specs

  • User-Friendly Interface
    Shogun provides a drag-and-drop interface that makes it easy for users, even those without technical skills, to design and customize eCommerce pages.
  • Integration
    Shogun seamlessly integrates with popular eCommerce platforms like Shopify, Magento, and BigCommerce, providing a smooth user experience and easy setup.
  • Responsive Design
    The platform ensures that all pages are mobile-responsive, which is crucial for maintaining usability and aesthetic appeal across devices.
  • Customizable Templates
    Offers a wide range of customizable templates, allowing businesses to create unique designs tailored to their brand aesthetics.
  • SEO Features
    Includes built-in SEO features that help users optimize their pages for better search engine visibility.
  • Fast Loading Times
    Utilizes a content delivery network (CDN) to ensure fast loading times for web pages, enhancing user experience.

Possible disadvantages of Shogun

  • Pricing
    Shogun can be relatively expensive for small businesses, especially those with limited budgets, as it operates on a subscription basis.
  • Learning Curve
    While Shogun is user-friendly, there can be an initial learning curve for those unfamiliar with page builders or eCommerce platforms.
  • Limited Advanced Features
    For highly advanced eCommerce needs, Shogun might lack some specific features that highly customized, larger eCommerce businesses may require.
  • Dependency on Platform
    Shogun's performance and features are somewhat tied to the eCommerce platform it integrates with, which might limit functionality if the platform itself has restrictions.
  • Occasional Bugs
    Users have reported occasional bugs or glitches that, while usually resolved quickly, can disrupt the user experience.

NumPy videos

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

Shogun videos

Shogun - Shut Up & Sit Down Review

More videos:

  • Review - Should You Buy a MITSUBISHI SHOGUN? (Test Drive & Review) *AKA PAJERO MONTERO*

Category Popularity

0-100% (relative to NumPy and Shogun)
Data Science And Machine Learning
eCommerce
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Website Builder
0 0%
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 NumPy and Shogun

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.
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

Shogun Reviews

We have no reviews of Shogun yet.
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Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Shogun. While we know about 119 links to NumPy, we've tracked only 6 mentions of Shogun. 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.

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 / 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

Shogun mentions (6)

  • Does Shopify Have a Landing Page Builder?
    I believe you are looking for something like this: https://getshogun.com/. I've never used it, so I do not know what happens if you remove the app. Source: about 2 years ago
  • Thoughts on headless e-commerce?
    Is it worth it over a traditional Shopify Theme? Currently looking at https://getshogun.com/ and other services where I can use Shopify with a custom frontend. Source: almost 3 years ago
  • Create Website with a Website-Builder and then Copy the Code to Shopify
    Welcome to the world of Shopify pagebuilder apps! There are quite a few which will allow you to create pages like this without coding, and most have a free tier. I'm the creator of Replo so I'm biased, but there are also other solutions like Shogun or PageFly which are popular. For the pixel art loop, I'd recommend using an animated gif - we have instructions about how to do that in our tool here, but other tools... Source: almost 3 years ago
  • You are given $5,000 to start an e-commerce business. What do you do?
    PS. Because it's on my mind, https://getshogun.com is all you need to create a kick-ass landing page on Shopify these days and the free tier takes you really far. It's a page builder that's not awful, and helps get around some of the Shopify creativity limitations. Source: over 3 years ago
  • UbiFi - IOT Device Issues and Tweaking in Progress?
    I've been having issues with things like our web site development program (getshogun.com), Alexa, August locks, and funny enough (not really funny) Microsoft OneNote is not able to sync with the cloud. Source: over 3 years ago
View more

What are some alternatives?

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

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

Comet Rocks - Supercharge your marketing efficiency. Create tailored social commerce funnels for every ad. Launched in minutes without code.

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

Experro - Elevating Experiences

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

Pivot - Drag and drop real-time HTML page building