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Pexels VS NumPy

Compare Pexels VS NumPy and see what are their differences

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Pexels logo Pexels

Find the best free stock images about Browser Home Page. Download all photos and use them even for commercial projects.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Pexels Landing page
    Landing page //
    2018-09-29
  • NumPy Landing page
    Landing page //
    2023-05-13

Pexels features and specs

  • Free High-Quality Images
    Pexels offers a vast library of high-resolution photos and videos that are free to download and use, making it an excellent resource for individuals and businesses.
  • No Attribution Required
    Unlike some other stock photo websites, Pexels does not require users to credit the photographer, providing more flexibility in how the images can be used.
  • Diverse Collection
    Pexels has a diverse range of photos and videos across various categories, making it easier to find content that suits different needs and themes.
  • User-Friendly Interface
    The website is easy to navigate, with a clean design and effective search functionality, allowing users to quickly find the content they need.
  • Community Contributions
    Pexels allows photographers to upload their work, contributing to the growth and diversity of the available content, and providing them with a platform to showcase their work.

Possible disadvantages of Pexels

  • Limited Exclusivity
    Since the images on Pexels are free and widely accessible, there's a chance these images might be overused, reducing their uniqueness in projects.
  • Commercial Use Restrictions
    Although most images can be used for free, some may have specific restrictions for commercial use, requiring users to verify the licensing terms.
  • Quality Variability
    While many images are of high quality, the user-contributed nature of the platform means there can be variability in the quality and relevance of the images available.
  • Limited Advanced Search Filters
    Pexels lacks some advanced search filters found in paid stock photo websites, which can make it more challenging to find highly specific types of images.
  • Competition for Photographers
    Photographers who upload their work to Pexels are contributing to a free resource, which may limit their ability to sell their photos elsewhere.

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.

Pexels videos

WARNING Dont use Pexels.com before you see this video!

More videos:

  • Review - DepositPhotos Review & Shootout Between Adobe Stock & Pexels
  • Review - Hidden Free Stock Photos Inside of Photoshop - Pexels Photoshop Plugin
  • Review - This Stock Video Site is FREE | Pexels Review
  • Tutorial - How To Use Pexels To Find Copyright Free Images

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

Category Popularity

0-100% (relative to Pexels and NumPy)
Image Marketplace
100 100%
0% 0
Data Science And Machine Learning
Photos & Graphics
100 100%
0% 0
Data Science Tools
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 Pexels and NumPy

Pexels Reviews

12 Best Sites Like Freepik For Downloading Photos
Last, on this list of similar sites like Freepik we have Pexels. Pexels are a very simple website from which you can get a wide range of stock photos and videos. If you’re a beginner and want to avoid all the complexity, then this is the site you should o for.
Source: www.devdude.com
23 Best Free Image Hosting Sites (Upload & Share) in 2022
Pexels is a stock image site that offers free, high-quality stock photos. Each year, millions of people use Pexels to find great-looking photos for their products, books covers, blogs, or websites.

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

Social recommendations and mentions

NumPy might be a bit more popular than Pexels. We know about 119 links to it since March 2021 and only 102 links to Pexels. 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.

Pexels mentions (102)

  • The Best 100 Free UI/UX Resources for Every Designer & Developer
    Pexels Pexels.com Free stock photos and videos under a Creative Commons license. - Source: dev.to / 2 months ago
  • Give me constructive criticism on my website
    Side note: You can get really really nice stock photos from pexels.com - I usually find a great option in like 3 scrolls. It's dope. Source: almost 2 years ago
  • Honest feedback
    Bring your website alive with some images. If you do not have suitable pics, use copyright free photo's from pexels.com or unsplash.com Make sure your chosen pics have a somewhat consistent look. Source: almost 2 years ago
  • Would greatly appreciate any feedback! Any thoughts?
    The audio quality is great! Your content as well is sound. The message and script are great, but I feel that the content may be a bit monotonous for some. In an atmosphere where most viewers have a shorter attention span, I would recommend condensing more of your core message into a shorter form. B-roll is a great way to make the attention flow better, you can find some free video at a site like pexels.com to... Source: about 2 years ago
  • How to source affordable stock photos as new student?
    Affordable stock photos - pexels.com is great, lots of other as well like freepik.com, etc, etc. Source: about 2 years ago
View more

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 / 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

What are some alternatives?

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

Unsplash - Unsplash is a website with high-quality free HD images. It has a catalog of more than three hundred thousand striking images that are neatly organized with tags. Read more about Unsplash.

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

Pixabay - Over 270,000 free photos, vectors and art illustrations

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

Shutterstock - Shutterstock is a provider of stock photos, illustrations, and vector art. The website allows individuals to purchase a subscription and download copyrighted art for creative projects. Read more about Shutterstock.

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