Software Alternatives, Accelerators & Startups

Pexels VS Matplotlib

Compare Pexels VS Matplotlib 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.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Pexels Landing page
    Landing page //
    2018-09-29
  • Matplotlib Landing page
    Landing page //
    2023-06-14

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.

Matplotlib features and specs

  • Versatility
    Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
  • Customization
    It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
  • Integrations
    Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
  • Community and Documentation
    It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
  • Interactivity
    Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
  • Publication-Quality
    The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.

Possible disadvantages of Matplotlib

  • Complexity
    While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
  • Performance
    Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
  • Modern Aesthetics
    Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
  • 3D Plots
    Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
  • Size and Structure
    The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.

Analysis of Pexels

Overall verdict

  • Yes, Pexels is generally considered good due to its vast selection of high-quality images, ease of use, and supportive community of contributors. It is a valuable resource for anyone in need of free stock images and videos.

Why this product is good

  • Pexels is a popular online platform offering a large collection of free stock photos and videos in high resolution. It is known for its user-friendly interface, extensive search functionality, and diverse range of high-quality images provided by a global community of photographers. It also allows easy downloading and direct use of media without requiring attribution, making it convenient for both personal and commercial projects.

Recommended for

  • Graphic designers
  • Content creators
  • Bloggers
  • Small businesses
  • Marketers
  • Social media managers

Analysis of Matplotlib

Overall verdict

  • Yes, Matplotlib is a good library for data visualization, particularly for users who require a versatile and powerful plotting solution in Python.

Why this product is good

  • Matplotlib is highly regarded due to its extensive customization options, versatility in creating a wide range of static, animated, and interactive plots, and its large user community and support. It integrates well with other scientific libraries in Python, making it a staple for data visualization. The library is also open-source and frequently updated, ensuring it remains a reliable choice for users.

Recommended for

  • Data scientists and analysts needing to create detailed, customized visual representations of their data.
  • Researchers and engineers looking for a comprehensive plotting library that supports scientific and engineering formats.
  • Python developers who require integration with other scientific computing libraries like NumPy and Pandas.

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

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

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

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 youโ€™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.

Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesnโ€™t support all file formats.
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...

Social recommendations and mentions

Matplotlib might be a bit more popular than Pexels. We know about 114 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 / over 1 year 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: about 3 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: about 3 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: over 3 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: over 3 years ago
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Matplotlib mentions (114)

  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ€” the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 5 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes itโ€™s easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 8 months ago
  • libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators
    We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 9 months ago
  • Building an AI Scoring Agent: Step-By-Step
    NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 10 months ago
  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโ€ฆ. - Source: dev.to / 11 months ago
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What are some alternatives?

When comparing Pexels and Matplotlib, 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

NumPy - NumPy is the fundamental package for scientific computing with Python

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.

Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.