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NumPy VS Apache Struts

Compare NumPy VS Apache Struts and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Apache Struts logo Apache Struts

Apache Struts is an open-source web application framework for developing Java EE web applications.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Apache Struts Landing page
    Landing page //
    2022-04-27

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.

Apache Struts features and specs

  • Robust Framework
    Apache Struts is a mature and well-established framework for Java web applications, providing stable and reliable tools for enterprise-level applications.
  • MVC Architecture
    Struts adheres to the Model-View-Controller (MVC) design pattern, which separates business logic, presentation, and navigation, making code maintenance and development easier.
  • Extensive Documentation
    Struts has comprehensive documentation and a wealth of online resources, including tutorials, community forums, and user guides, which can support developers throughout their projects.
  • Rich Tag Library
    It comes with a rich set of custom tags that enhance the JSP (JavaServer Pages) to create dynamic web content easily.
  • Plugin Support
    Apache Struts supports various plugins that can extend its functionality, allowing developers to integrate additional features without much effort.

Possible disadvantages of Apache Struts

  • Steep Learning Curve
    New developers might find Struts challenging to learn due to its complexity and the need for a good understanding of the MVC architecture and Java web application development.
  • Configuration Overhead
    The framework requires extensive XML configuration, which can be cumbersome and time-consuming compared to convention-over-configuration frameworks.
  • Performance
    Struts can be slower than some newer, lighter frameworks due to its broader feature set and the overhead associated with its extensive configuration.
  • Security Vulnerabilities
    Struts has had notable security vulnerabilities in the past. Although patches and updates are available, it necessitates proactive monitoring and maintenance.
  • Outdated Compared to Modern Frameworks
    With the advent of modern frameworks like Spring MVC and JavaServer Faces, some developers consider Struts to be less up-to-date with the latest web development standards and practices.

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.

Analysis of Apache Struts

Overall verdict

  • Apache Struts is a robust framework, suitable for building Java-based web applications, but it's crucial to stay vigilant regarding security updates.

Why this product is good

  • Apache Struts is known for its MVC framework, which is useful for creating well-structured and maintainable Java applications. It provides a range of comprehensive features like a flexible tag library, integration with other Java frameworks, and a strong support community. However, it has faced some high-profile security vulnerabilities in the past, underscoring the importance of keeping the framework timely updated.

Recommended for

  • Organizations developing enterprise-level Java applications
  • Developers familiar with Java and looking for a robust MVC framework
  • Teams interested in integrating their web applications with other Java technologies

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

Apache Struts videos

+ Add

Finding and Fixing Apache Struts CVE-2017-5638 with Black Duck Hub

More videos:

  • Review - Apache Struts 2 - remote command execution
  • Review - Dark ambient drone music | Vulnerable Apache Struts installation under attack (Java, Jakarta)

Category Popularity

0-100% (relative to NumPy and Apache Struts)

NumPy

Apache Struts

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Developer Tools
0 0%
Developer Tools
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Web Frameworks
0 0%
Web Frameworks
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 Apache Struts

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

Apache Struts Reviews

17 Popular Java Frameworks for 2023: Pros, cons, and more
You can integrate Struts with other Java frameworks to perform tasks that arenโ€™t built into the platform. For instance, you can use the Spring plugin for dependency injection or the Hibernate plugin for object-relational mapping. Struts also allows you to use different client-side technologies such as Jakarta Server Pages to build the frontend of your application.
Source: raygun.com
10 Best Java Frameworks You Should Know
Followed by Struts Framework, the next leading framework currently being used in the IT industry is the Wicket.
Source: www.simplilearn.com

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Apache Struts. While we know about 122 links to NumPy, we've tracked only 2 mentions of Apache Struts. 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 (122)

View more

Apache Struts mentions (2)

What are some alternatives?

When comparing NumPy and Apache Struts, 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.

Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.

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

Grails - An Open Source, full stack, web application framework for the JVM

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

Spark Mail - Spark helps you take your inbox under control. Instantly see whatโ€™s important and quickly clean up the rest. Spark for Teams allows you to create, discuss, and share email with your colleagues

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