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NumPy VS OpenELEC

Compare NumPy VS OpenELEC and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

OpenELEC logo OpenELEC

OpenELEC, which stands for Open Embedded Linux Entertainment Center, is a Linux operating system that makes the host computer a Kodi media center. The software was the winner of the Swiss Opensource Award in 2014.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • OpenELEC Landing page
    Landing page //
    2019-01-29

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.

OpenELEC features and specs

  • Lightweight
    OpenELEC is a lightweight operating system that is designed to run Kodi on minimal hardware, making it ideal for older devices.
  • Ease of Use
    OpenELEC provides a simple user interface and straightforward installation process, which is appealing to users looking for an out-of-the-box media center solution.
  • Dedicated Media Center OS
    Being dedicated solely to running Kodi, OpenELEC offers optimized performance and a streamlined system for media playback.
  • Cost-Effective
    OpenELEC is open-source and free to use, which is beneficial for users looking for a cost-effective media center setup.
  • Strong Community Support
    OpenELEC has a robust community of users and developers who provide support, share knowledge, and contribute to its development.

Possible disadvantages of OpenELEC

  • Limited Functionality
    As a minimalistic operating system, OpenELEC may not support additional services or applications beyond its primary function as a media center.
  • Hardware Compatibility
    OpenELEC may have limited compatibility with certain hardware components or peripherals, which could require users to ensure compatibility beforehand.
  • Less Frequent Updates
    Compared to some other media center solutions or operating systems, OpenELEC may receive updates less frequently, potentially affecting access to new features or security patches.
  • Limited Customization
    Due to its focus on simplicity and ease of use, OpenELEC offers fewer customization options compared to other more flexible operating systems.
  • Potential Stability Issues
    Some users have reported stability issues, particularly when using newer versions or hardware, which may impact overall user experience.

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.

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

OpenELEC videos

+ Add

My HTPC Is Now Running OpenELEC

More videos:

  • Review - OpenELEC Installation Guide 2019

Category Popularity

0-100% (relative to NumPy and OpenELEC)

NumPy

OpenELEC

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Video
0 0%
Video
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Media Player
0 0%
Media Player
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 OpenELEC

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

OpenELEC Reviews

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

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than OpenELEC. While we know about 119 links to NumPy, we've tracked only 2 mentions of OpenELEC. 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 / 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

OpenELEC mentions (2)

  • Does Kodi support HDR passthrough using an x86 processor or an nvidia/AMD dGPU on Linux now?
    Its all good. I use to run Kodi on a HTPC that I built with openelec and it was pretty stable. I am not sure if it is available anymore (openelec.tv) it was a linux distro. I switched to NVidia shield due to the accessibility to Netflix and Amazon and I have not looked back. Oh an its cheaper than a HTPC I think... Source: over 3 years ago
  • Got Jellyfin a few days ago and LOVE the web version, but bad Roku app is a dealbreaker. Before I can it, are there any work arounds you guys have found?
    I know there are various customized distros for the RasPi, such as OpenElec, but as a staunch Linux and FLOSS advocate I still don't think that's what most people are searching for when they look for a streaming device these days. Source: about 4 years ago

What are some alternatives?

When comparing NumPy and OpenELEC, 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.

LibreELEC - LibreELEC is ‘Just enough OS’ for Kodi, a Linux distribution built to run Kodi on current and...

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

GeeXboX - Dec 3, 2017 - . Author: Tomtom 1 Comment. Hi,.

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

Kodi - Kodi is an award winning free and open source media player that got its start on the Xbox console.

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