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NumPy VS Apple ARKit

Compare NumPy VS Apple ARKit and see what are their differences

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  3. » Reviews
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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Apple ARKit logo Apple ARKit

A framework to create Augmented Reality experiences for iOS
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Apple ARKit Landing page
    Landing page //
    2022-06-30

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.

Apple ARKit features and specs

  • Ease of Integration
    Apple ARKit is seamlessly integrated into the iOS ecosystem, making it easier for developers to leverage existing Apple services and frameworks like SceneKit, SpriteKit, and Metal.
  • High-Quality Tracking
    ARKit provides robust tracking capabilities, including face tracking, ambient light estimation, and motion capture, which ensures a high-quality augmented reality experience.
  • Large User Base
    Targeting iOS devices means developers can reach millions of users who are likely to have hardware that supports AR experiences.
  • Consistent Hardware and Software
    iOS devices typically have consistent hardware and software environments, making it easier to predict performance and tailor AR experiences without the need for extensive optimization across varied devices.
  • Developer Support
    Apple provides extensive documentation, tutorials, and support for ARKit, making it easier for developers to get started and troubleshoot issues.

Possible disadvantages of Apple ARKit

  • Platform Limitation
    ARKit is exclusively available on iOS, which limits its use to Apple devices and excludes Android and other platforms.
  • Hardware Requirements
    Older iOS devices do not support ARKit, meaning developers must ensure their audience has relatively recent hardware capable of running AR applications.
  • Learning Curve
    While well-documented, ARKit still requires developers to learn new concepts and technologies, which can be challenging for those new to augmented reality development.
  • Resource Intensive
    ARKit applications can be resource-intensive, requiring significant processing power and battery life, which may affect the user experience on longer uses.
  • Competition
    The augmented reality space is highly competitive, with other platforms like Google's ARCore vying for developer attention, requiring developers to choose or maintain cross-platform solutions.

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

Apple ARKit videos

+ Add

Apple ARkit review | AR kit

More videos:

  • Review - IKEA PLACE: Genuine Augmented Reality furniture app using Apple ARKit

Category Popularity

0-100% (relative to NumPy and Apple ARKit)

NumPy

Apple ARKit

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Augmented Reality
0 0%
Augmented Reality
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
iPhone
0 0%
iPhone
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 Apple ARKit

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

Apple ARKit Reviews

We have no reviews of Apple ARKit yet.
Be the first one to post

Social recommendations and mentions

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

Apple ARKit mentions (6)

  • AR Software development
    Apple has quite nice page with docs at the bottom: https://developer.apple.com/augmented-reality/. Source: almost 2 years ago
  • AR news slowed down in the last days — is it the quiet before storm?
    Feels like you're grasping at straws to dismiss them. If you think lower weight, not-grainy MR, six years of a public AR SDK, far better computing units, and an existing high-quality software ecosystem are "not noticeable", I'm left wondering what you think is noticeable. Source: about 2 years ago
  • Your Augmented Reality Apps Need 3D Avatars, Here's Why
    If you're looking to build a more advanced application, there are plenty of useful resources for all major technologies. For mobile apps, the best places to get started are docs for Google ARCore and Apple ARKit. Both platforms work with popular gaming engines like Unity and Unreal Engine. - Source: dev.to / over 3 years ago
  • Matrix effect with LIDAR, Unity, and ARKit - Awesome
    ARKit is Apple's (A)ugmented (R)eality development (K)it. It takes the output from Unity and displays it in the goggles/headset the guy is wearing to see all this. Well, what a camera pointed at the display sees. Source: over 3 years ago
  • 10 Top UI/UX Design Trends For 2021
    Google and Apple have already released their augmented reality development platforms, ARCore or ARKit, enabling the seamless integration of the digital and physical worlds. - Source: dev.to / over 3 years ago
View more

What are some alternatives?

When comparing NumPy and Apple ARKit, 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.

Google ARCore - Google Augmented Reality SDK

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

Made With ARKit - Hand-picked curation of the coolest stuff made with ARKit

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

Facebook AR Studio - Facebook's developer platform for Augmented Reality

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