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pixiv VS NumPy

Compare pixiv VS NumPy 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.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • pixiv Landing page
    Landing page //
    2023-09-15
  • NumPy Landing page
    Landing page //
    2023-05-13

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.

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

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 NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

pixiv videos

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NumPy videos

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Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Category Popularity

0-100% (relative to pixiv and NumPy)

pixiv

NumPy

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
Data Science Tools
0 0%
Data Science 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 pixiv and NumPy

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

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
Source: www.analyticsvidhya.com
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Social recommendations and mentions

Based on our record, NumPy should be more popular than pixiv. It has been mentiond 122 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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NumPy mentions (122)

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What are some alternatives?

When comparing pixiv and NumPy, 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.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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

OpenCV - OpenCV is the world's biggest computer vision library

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