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NumPy VS PhoneGap

Compare NumPy VS PhoneGap and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

PhoneGap logo PhoneGap

Easily create apps using the web technologies you know and love: HTML, CSS, and JavaScript.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • PhoneGap Landing page
    Landing page //
    2022-01-14

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.

PhoneGap features and specs

  • Cross-Platform Development
    PhoneGap allows developers to create applications for multiple platforms, such as iOS and Android, using a single codebase. This reduces development time and effort.
  • Leverages Web Technologies
    PhoneGap uses standard web technologies like HTML, CSS, and JavaScript, making it accessible for web developers to transition into mobile app development without learning new languages.
  • Access to Native APIs
    PhoneGap provides access to native device features such as the camera, accelerometer, and file system through a unified JavaScript API, enabling rich, native-like user experiences.
  • Large Plugin Library
    PhoneGap has a wide range of plugins available, giving developers the flexibility to add various functionalities to their apps without having to write complex native code.
  • Open Source
    Being an open-source framework, PhoneGap is free to use and has a large community of developers contributing to its improvement and providing support.

Possible disadvantages of PhoneGap

  • Performance Issues
    Since PhoneGap apps rely on WebView components to render the user interface, they may not perform as well as fully-native apps, especially for graphics-intensive applications.
  • Limited Advanced Native Features
    While PhoneGap provides access to basic native functionalities, it may not support all the advanced features and optimizations available in native development.
  • Dependency on Plugins
    PhoneGap's reliance on plugins for additional functionalities can lead to compatibility issues, especially if the plugins are not actively maintained or updated.
  • UI Consistency
    Achieving a consistent look and feel across different platforms can be challenging, as PhoneGap utilizes web technologies that may render differently on iOS and Android.
  • Learning Curve for Performance Optimization
    While web developers might find it easy to start with PhoneGap, optimizing the app for performance, particularly on mobile devices, can require a significant amount of additional learning and tweaking.

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

PhoneGap videos

+ Add

What is PhoneGap and Cordova?

More videos:

  • Review - Is phonegap any good ?
  • Review - Introduction to PhoneGap - An Open Source Framework

Category Popularity

0-100% (relative to NumPy and PhoneGap)

NumPy

PhoneGap

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Development Tools
0 0%
Development Tools
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
JavaScript Framework
0 0%
JavaScript Framework
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 PhoneGap

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

PhoneGap Reviews

Top 10 Flutter Alternatives for Cross-Platform App Development
Developed by Apache Cordova, PhoneGap is used extensively for developing cross-platform mobile with the use of several web technologies. It lets developers write code by using HTML, CSS & JavaScript and package it as a native app. Being a simple framework, it includes the largest collection of plugins that extend its wide functionality.
Source: www.moontechnolabs.com
Exploring 15 Powerful Flutter Alternatives
Adobe PhoneGap is a distribution of the open-source Apache Cordova project for building cross-platform mobile apps. PhoneGap makes integrating Adobe services for analytics, marketing automation, and monetization easy. For apps focused on advertising revenue or lead generation, PhoneGap can accelerate leveraging Adobe’s audience segmentation, funnel tracking, and attribution...
Source: positiwise.medium.com
Best Mobile App Development Tools for Kids
A technology used for cross-platform mobile app development is referred to as PhoneGap. All the problems which we have seen above can be solved by PhoneGap easily. PhoneGap is an open-source mobile application framework. It allows developers to develop applications using standard web APIs. PhoneGap was developed by Nitobe Software, which is known as Adobe.
Source: codinghero.ai
10 Best Android Studio Alternatives For App Development
PhoneGap is another kind of tool among alternatives. Using this tool, you can develop cross-platform applications. The PhoneGap is an open-source development tool. And this is used for building iPhone, Android, Blackberry and other mobile apps with JavaScript. If you are using PhoneGap then you can reduce the development cost, time and effort.
Source: techdator.net
Top JavaScript Frameworks For Mobile App Development
As one of the popular mobile app development framework, Adobe and Apache have Adobe PhoneGap. Its open-source and flexible nature has been the crux of its rising popularity. It utilizes the built-in JavaScript API to establish a connection with the native features of mobile devices and the OS. It has a large and robust backend for easy development of native mobile applications.
Source: medium.com

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than PhoneGap. While we know about 119 links to NumPy, we've tracked only 1 mention of PhoneGap. 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

PhoneGap mentions (1)

What are some alternatives?

When comparing NumPy and PhoneGap, 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.

Apache Cordova - Platform for building native mobile applications using HTML, CSS and JavaScript

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

Ionic - Ionic is a cross-platform mobile development stack for building performant apps on all platforms with open web technologies.

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

React Native - A framework for building native apps with React

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