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Matplotlib VS Icons8

Compare Matplotlib VS Icons8 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...

Icons8 logo Icons8

Free app for Mac & Windows already containing 39,800 icons. Allows to search and import iconsโ€ฆ
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • Icons8 Landing page
    Landing page //
    2023-09-03

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.

Icons8 features and specs

  • Large Collection
    Icons8 offers an extensive array of icons and illustrations, catering to a variety of themes and styles.
  • Customization
    Users can alter the design, color, and size of icons, making it versatile for different project needs.
  • Quality
    Icons8 maintains high design standards, ensuring that the icons are aesthetically pleasing and pixel-perfect.
  • Subscription Plans
    Various payment options are available, including a free tier and affordable premium plans with additional features.
  • Additional Resources
    Besides icons, Icons8 provides other resources like photos, music, and illustrations.
  • Easy Integration
    Icons can be easily integrated into various software tools like Adobe XD, Photoshop, Figma, and more.

Possible disadvantages of Icons8

  • Limited Free Plan
    The free tier has constraints on downloads and access to certain premium icons.
  • Account Requirement
    Users need to create an account to access even the free resources, which can be cumbersome.
  • Watermark
    Free downloaded icons come with a watermark, pushing users towards paid plans for unwatermarked versions.
  • Subscription Cost
    While reasonably priced, the subscription fees might still be a barrier for freelancers or small businesses with tight budgets.
  • Search Functionality
    Some users have reported that the search function could be improved for better accuracy and ease of finding specific icons.
  • License Restrictions
    Even with paid plans, certain license restrictions may apply, limiting the use in commercial projects or redistribution.

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.

Analysis of Icons8

Overall verdict

  • Icons8 is considered a good platform for designers looking for a comprehensive, seamless experience. Its combination of diverse assets, ease of use, and flexible pricing options make it a popular choice among designers.

Why this product is good

  • Icons8 is widely regarded as a reliable resource due to its extensive library of high-quality icons, illustrations, and design assets that cater to a broad range of design needs. The platform offers both free and paid options, allowing users to access a variety of styles and formats. Additionally, Icons8 provides user-friendly tools and integrations that streamline the design process for professionals and novices alike.

Recommended for

    Icons8 is highly recommended for graphic designers, web developers, UI/UX designers, and any creative professionals who require access to a diverse range of design assets. It is also suitable for individuals and businesses seeking to enhance their projects with high-quality visuals.

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Icons8 videos

+ Add

Icons8 Review

More videos:

  • Review - ICONS8 is NOT an icon's Planet Itโ€™s EVERYTHING's Planet | The A.I. Review Show | Ep 7
  • Review - Icons8 2020: Year in Review. Happy New Year, Creative People!

Category Popularity

0-100% (relative to Matplotlib and Icons8)

Matplotlib

Icons8

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Web Icons
0 0%
Web Icons
100% 100
Technical Computing
100 100%
Technical Computing
0% 0
Design Tools
0 0%
Design Tools
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 Icons8

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

Icons8 Reviews

10 Best Fontello Alternatives 2021
Other powerful features that you can enjoy on Icons8 include HTML embedding, icon recoloring, multiple categories, edible icons, single style, fonts generator, and support for different languages. Icons8 is also free to use anytime and from anywhere just like Fontello.
Source: rigorousthemes.com

Social recommendations and mentions

Based on our record, Matplotlib should be more popular than Icons8. 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 / 4 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 / 7 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 / 8 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 / 9 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 / 10 months ago
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Icons8 mentions (57)

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What are some alternatives?

When comparing Matplotlib and Icons8, 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.

The Noun Project - Creating, Sharing and Celebrating the World's Visual Language

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

Flaticon - A database of free vector icons.

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

Font Awesome - Font Awesome makes it easy to add vector icons and social logos to your website. And version 5 is redesigned and built from the ground up!

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