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pixiv VS Matplotlib

Compare pixiv VS Matplotlib and see what are their differences

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

pixiv logo pixiv

pixiv is an illustration community service where you can post and enjoy creative work. A large variety of work is uploaded, and user-organized contests are frequently held as well.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • pixiv Landing page
    Landing page //
    2023-09-15
  • Matplotlib Landing page
    Landing page //
    2023-06-14

pixiv features and specs

  • Diverse Art Community
    Pixiv hosts a vast and diverse community of artists from around the world, providing a wide range of art styles and genres for users to explore.
  • Multi-Language Support
    Pixiv offers multiple language options, making it accessible to a global audience and allowing users from various regions to navigate the platform more easily.
  • Interactive Features
    The platform includes features such as comments, likes, and the ability to follow artists, enabling user interaction and community building.
  • Variety of Content
    Besides illustrations, Pixiv also supports other content types like manga and novels, providing diverse creative content for different interests.
  • Tag-Based Search
    Pixiv employs a robust tag-based search system, making it easier for users to find specific types of art or themes they are interested in.

Possible disadvantages of pixiv

  • NSFW Content
    Pixiv contains a significant amount of adult content, which may not be suitable for all audiences and can be a concern for some users.
  • Complex Interface
    The platformโ€™s interface can be overwhelming and complex for new users, particularly those unfamiliar with the layout and features.
  • Freemium Model
    While Pixiv is free to use, certain advanced features and services, such as higher visibility for artists and ad-free browsing, require a paid membership.
  • Language Barriers
    Despite having multi-language support, some content and interactions are primarily in Japanese, potentially creating a language barrier for non-Japanese speakers.
  • Copyright and Art Theft Concerns
    As with any art platform, there are concerns about copyright infringement and art theft, which can be a significant issue for artists.

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 pixiv

Overall verdict

  • Pixiv is generally considered good for both artists and consumers of art due to its extensive collection of diverse artworks and active community. It is a valuable platform for artists seeking exposure and for art lovers looking for inspiration and new discoveries.

Why this product is good

  • Pixiv is a widely used platform that caters to artists and art enthusiasts. It offers a space for users to share and discover artwork, including illustrations, manga, and fan art. The platform supports a variety of art forms and provides robust community features, including comments, likes, and collections. It also offers opportunities for artists to connect with a global audience, enhancing exposure and interaction. Additionally, Pixiv often holds art contests and provides creative challenges, encouraging artists to grow and showcase their skills.

Recommended for

    Pixiv is best suited for digital artists seeking to share their work with a broader audience, people looking for art inspiration, and fans of manga and anime-style art. It's also ideal for those who enjoy participating in an interactive art community and engaging with creative 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.

pixiv videos

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Matplotlib videos

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Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to pixiv and Matplotlib)

pixiv

Matplotlib

Social Networks
100 100%
Social Networks
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Designers Community
100 100%
Designers Community
0% 0
Technical Computing
0 0%
Technical Computing
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 pixiv and Matplotlib

pixiv Reviews

13 Best DeviantArt Alternatives & Similar Sites
When it comes to the DeviantArt similar websites, Pixiv is definitely the closest. This platform was initially created for the online community of Japanese artists. Today, this site has become popular overseas too.
Source: www.regendus.com
Top 10 Killer Deviantart Alternatives for Art Communities
Pixiv is an online community of artists and illustrators created in Shibuya, Tokyo, in 2007. It was relatively unknown to the western world until the beginning of 2010. So if you are familiar with the language, if you're interested in culture or what's happening in the Japanese art community, this is the place for you. Furthermore, Pixiv's goal is very similar to DeviantArt:...
Source: www.acethinker.com

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

Social recommendations and mentions

Based on our record, Matplotlib should be more popular than pixiv. 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.

pixiv mentions (24)

  • Why does cloudflare suck?
    The developers of pixiv.net blocked the country you're from. Source: over 3 years ago
  • If you'd like to see the fandom when it was most popular...
    Also most of the fanart is on pixiv.net , just type ใจใชใ‚Šใฎๆ€ช็‰ฉใใ‚“ on the search bar, there's like 3000 results. Source: over 3 years ago
  • messed with page source material on chrome and now I can't make it back to normal
    This is embarrassing, but I have no idea what I even did, I am not tech savvy, and I need help fixing it. I was looking online about how to block the premium "popular" search on pixiv.net. Someone said to just click "inspect" and delete the piece of code that contained the pop up. Sure, why not, I thought, and I clicked inspect, and hit "delete" on the portion I thought might be it. Now my page is permanently... Source: almost 4 years ago
  • Is it me or is Pixiv down again?
    I keep on getting an error code 520 and apparently, the host (which is pixiv.net) is not working? Anyone experiencing this too? Source: almost 4 years ago
  • Thinking of branching to VA
    Thanks and you're welcome ^^ As far as I know most VA's get the artwork either from pixiv.net, picrew.me (it's basically a website where you can find some presets for characters and play with the options a bit in order to get the look you want), maybe some other platforms or they even commission the artwork. Though most of the bigger VA's have their artwork commissioned because it's the safest and easiest way for... Source: almost 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
View more

What are some alternatives?

When comparing pixiv and Matplotlib, you can also consider the following products

DeviantArt - deviantART was created to entertain, inspire, and empower the artist in all of us.

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

Behance - The Creative Professional Platform.

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

Dribbble - Shots from popular and up and coming designers in the Dribbble community, your best resource to discover and connect with designers worldwide.

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

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