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Iconscout VS Matplotlib

Compare Iconscout VS Matplotlib and see what are their differences

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Iconscout logo Iconscout

Design Resource Marketplace.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Iconscout Landing page
    Landing page //
    2023-09-10

Iconscout provides ready to use, high-quality icons, illustrations, and stock photos. Iconscout has a distinct collection of more than 2 Million design assets. With a huge collection of free assets, Iconscout also provides a wide range of premium assets. Iconscout also has plugins for tools like Sketch, Adobe (XD, Illustrator, Photoshop, InDesign), Microsoft Office (Word & PowerPoint) and Gsuite (Docs & Slides). Using these tools, you can get the desired items right inside your tool.

  • Matplotlib Landing page
    Landing page //
    2023-06-14

Iconscout features and specs

  • Extensive Library
    Iconscout has a vast collection of icons, illustrations, and stock photos that cater to a wide range of design needs and preferences.
  • High-Quality Assets
    The platform offers high-quality and professionally designed assets, making it suitable for both personal and commercial use.
  • User-Friendly Interface
    The website is intuitive and easy to navigate, enabling users to find and download assets quickly and efficiently.
  • Regular Updates
    Iconscout frequently updates its library with new assets, ensuring users have access to the latest design trends and styles.
  • Subscription Plans
    Iconscout offers flexible subscription plans, including monthly and annual options, catering to different budget levels.
  • Integration Support
    The platform provides integrations with popular design tools like Adobe Illustrator, Adobe XD, Sketch, and Figma, helping to streamline the design workflow.
  • Customizable Assets
    Many assets on Iconscout are customizable, allowing designers to tweak elements to better fit their project requirements.

Possible disadvantages of Iconscout

  • Cost
    While Iconscout offers a selection of free assets, many high-quality assets are behind a paywall, which may not be feasible for designers on a tight budget.
  • Licensing Restrictions
    Some assets come with specific licensing terms and restrictions, requiring users to carefully review and comply with them, especially for commercial use.
  • Limited Free Options
    The number of free assets available is limited compared to the premium selection, which can be a drawback for non-paying users.
  • Search Functionality
    Despite having a wide array of assets, the search functionality can sometimes yield less relevant results, making it harder to find specific items.
  • No Offline Access
    Assets need to be downloaded online, and there is no option for offline access, which can be inconvenient in areas with poor internet connectivity.

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 Iconscout

Overall verdict

  • Iconscout is generally regarded as a good platform for designers and developers looking for a diverse collection of design assets. Its combination of quality, variety, and ease of use makes it a solid choice for professionals and hobbyists alike.

Why this product is good

  • Iconscout is considered a valuable resource due to its extensive library of high-quality icons, illustrations, 3D assets, and Lottie animations. These assets are created by professional designers and are available in various styles and formats, making them suitable for a wide range of projects. Additionally, Iconscout offers user-friendly tools and integrations with popular design software, which can enhance productivity and streamline the design process.

Recommended for

    Iconscout is recommended for graphic designers, web developers, UI/UX designers, and marketing professionals who require high-quality design assets for their projects. It is also suitable for freelancers and creative agencies looking for versatile resources to enhance their design work.

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.

Iconscout videos

Iconscout Desktop App

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Iconscout and Matplotlib)
Web Icons
100 100%
0% 0
Data Science And Machine Learning
Design Tools
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 Iconscout and Matplotlib

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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

Based on our record, Matplotlib seems to be a lot more popular than Iconscout. While we know about 114 links to Matplotlib, we've tracked only 8 mentions of Iconscout. 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.

Iconscout mentions (8)

  • 29 Websites For Free Icon Sets
    Iconscout - A list of high-quality free vector Icons, Illustrations, 3D assets, and Lottie Animations. - Source: dev.to / almost 3 years ago
  • Best Websites For Coders
    Iconscout : Over 2.2 Million+ Design Assets, Curated SVGs, Vector Icons, Illustrations, 3D graphics, and Lottie Animations. Over 3000+ assets added every day. Integrated plugins, tools, editors, and more. - Source: dev.to / over 3 years ago
  • What is everyones favorite website to get icons from?
    Https://iconscout.com/ is what I use because you can edit the icon colors before you download them. Source: over 4 years ago
  • Personal website
    After the 2,3 days of sleepless nights here is my webpage. It's my first website, completely written in HTML, javascript, CSS. It is built in such a way that it is compatible for any type of screen. Icons are from https://iconscout.com. Fonts are from Google fonts. Https://jeeson-k.github.io/jeeson/. - Source: dev.to / over 4 years ago
  • Any feedback?!
    For the first question, it depends on the project and targets users, the environment which belongs to, for the icons from here https://iconscout.com/ - and here https://icons8.com/. Source: over 4 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 Iconscout and Matplotlib, you can also consider the following products

Icons8 - Free app for Mac & Windows already containing 39,800 icons. Allows to search and import iconsโ€ฆ

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

Flaticon - A database of free vector icons.

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

Streamline - Streamline is a web-based vacation rental software that manages vacation rental properties with flipkey integration, online booking, lead management, credit card processing, etc.

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