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Matplotlib VS Adobe stock

Compare Matplotlib VS Adobe stock and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

Adobe stock logo Adobe stock

Search Adobe Stock for millions of royalty-free stock images, photos, graphics, vectors, video footage and more. Try risk-free today. Homepage - Buy this stock .
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • Adobe stock Landing page
    Landing page //
    2023-10-02

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.

Adobe stock features and specs

  • Extensive Library
    Adobe Stock offers a vast collection of high-quality images, videos, templates, and 3D assets, making it easy to find exactly what you need.
  • Seamless Integration
    Adobe Stock integrates smoothly with Adobe Creative Cloud applications such as Photoshop, Illustrator, and Premiere Pro, enhancing workflow efficiency.
  • High-Quality Assets
    The platform provides access to professionally curated and high-resolution assets that meet the standards of various creative projects.
  • Flexible Licensing
    Adobe Stock offers various licensing options, including standard, extended, and enhanced licenses, giving users flexibility in how they use the assets.
  • Advanced Search Features
    Robust search capabilities, including filters for orientation, color, and depth of field, make finding the right asset quick and efficient.

Possible disadvantages of Adobe stock

  • Cost
    Adobe Stock can be expensive compared to some other stock image services, especially for users who need a large number of assets.
  • Subscription Model
    The subscription-based pricing may not be ideal for occasional users who do not need a steady supply of stock assets.
  • Overused Assets
    Popular assets tend to be overused across multiple platforms and marketing channels, leading to a lack of uniqueness.
  • Limited Free Options
    Unlike some competitors, Adobe Stock offers very limited free assets, which may be a drawback for budget-conscious users.
  • Licensing Complexity
    Understanding the different licensing terms and restrictions can be confusing, especially for users new to stock content.

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.

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Adobe stock videos

+ Add

Adobe Stock - Review and Walkthrough!

More videos:

  • Review - Adobe Stock Review | Royalty Free Images and Video
  • Review - The 5 BEST Stock sites reviewed: Shutterstock, Envato, Adobe Stock, Artlist and Storyblocks

Category Popularity

0-100% (relative to Matplotlib and Adobe stock)

Matplotlib

Adobe stock

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Image Marketplace
0 0%
Image Marketplace
100% 100
Technical Computing
100 100%
Technical Computing
0% 0
Photos & Graphics
0 0%
Photos & Graphics
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 Matplotlib and Adobe stock

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.
Source: www.technotification.com
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.
Source: searchbusinessanalytics.techtarget.com
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.
Source: www.analyticsvidhya.com
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...
Source: www.geeksforgeeks.org

Adobe stock Reviews

12 Best Sites Like Freepik For Downloading Photos
AdobeStock by Adobe is yet another website that you must have heard of or seen on the internet. At Adobe Stock, you can get diverse collections of stock photos, stock images, premium stock images, vectors & illustrations, templates, and stock music & audio. The best part is that everything youโ€™ll find here is high-resolution as well as royalty-free.
Source: www.devdude.com
The best Freepik alternatives 2023
Adobe Stock subscriptions cost $29.99 to $249.99 per month and give you downloads of all standard images, video, and audio tracks. You can also buy them with credits or spend credits to buy premium assets, which also come with a premium Enhanced License. Adobe Stock subscriptions are free for the first 30 days, so you can download between 10 and 40 images or 3 to 6 videos.
Source: photutorial.com

Social recommendations and mentions

Based on our record, Matplotlib should be more popular than Adobe stock. It has been mentiond 114 times since March 2021. 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.

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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Adobe stock mentions (36)

  • [HELP!] I need your feedback about my creations!
    Other reputable places to sell vector artwork online are shutterstock.com, and stock.adobe.com Each will have their own requirements and tutorials for submitting artwork. You can also start your own page on Etsy.com. Source: over 2 years ago
  • Adobe Stock
    I can only guess that there is a new firewall rule or something of that sort? Any advice on how I could use the stock.adobe.com website without linking the programs would be most welcome. Thanks in advance. Source: about 3 years ago
  • Ringbound notebook stencil??
    Adobe stock has these and tons more Adobe Stock. Source: about 3 years ago
  • Looking for a cool typical noir background, a smoking detective with the hat, maybe some rain, or a gun for a desktop background
    Try a stock photo site like https://stock.adobe.com. Source: about 3 years ago
  • Need to know the name of this style
    I have this issue all the time, trying to articulate a design style. A couple of my go-to resources for style references are design trend blogs/articles or stock asset websites. Adobe Stock does a Creative Trends report every year that can be helpful for defining hybrid styles, and 99Designs does a similar Graphic Design Trends blog post. If all else fails, Iโ€™ll browse Adobe Stock or another stock website, and... Source: about 3 years ago
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What are some alternatives?

When comparing Matplotlib and Adobe stock, 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.

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.

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

Depositphotos - Depositphotos offers you over 50,000,000 stock photos and vector illustrations for as low as...

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

Getty Images - We offer high-quality, diverse and relevant stock photos, stock footage, stock music and editorial...

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