Software Alternatives, Accelerators & Startups

NumPy VS Deepart.io

Compare NumPy VS Deepart.io and see what are their differences

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Deepart.io logo Deepart.io

Artificial intelligence turning your photos into art
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Deepart.io Landing page
    Landing page //
    2018-11-05

NumPy videos

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

Deepart.io videos

I AM AN ARTIST | Friday Rayday | DeepArt.io

Category Popularity

0-100% (relative to NumPy and Deepart.io)
Data Science And Machine Learning
Digital Drawing And Painting
Data Science Tools
100 100%
0% 0
Image Editing
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 NumPy and Deepart.io

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.
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

Deepart.io Reviews

We have no reviews of Deepart.io yet.
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Social recommendations and mentions

Based on our record, NumPy should be more popular than Deepart.io. It has been mentiond 108 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.

NumPy mentions (108)

  • 2 Minutes to JupyterLab Notebook on Docker Desktop
    Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago
  • Element-wise vs Matrix vs Dot multiplication
    In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago
  • JSON in data science projects: tips & tricks
    Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 3 months ago
  • Introducing Flama for Robust Machine Learning APIs
    Numpy: A library for scientific computing in Python. - Source: dev.to / 6 months ago
  • A Comprehensive Guide to NumPy Arrays
    Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 7 months ago
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Deepart.io mentions (18)

  • Schweizerische!
    I think deepart.io was the first free style-transfer tool. Source: almost 2 years ago
  • AI Stylized Render of a 3D Model I made. I was told you might like it here.
    Https://deepart.io is a bit weird sometimes. But if you fiddle with the settings for a bit it's really good. Source: almost 2 years ago
  • The picture doesn’t do this art justice. It’s soooo perfect!!
    I wouldn't. It's clearly one of the deep learning filters slapped over a screenshot. It's low effort and anyone can make it using something like this https://deepart.io/ something done by hand would look so much better. Source: about 2 years ago
  • ILPT Request: Ways to make pictures look handdrawn?
    Use an ai site like deepart.io, input the picture, and then an image of a drawing you want to recreate the style of. It basically recreates the image but in the style of the drawing. Source: over 2 years ago
  • Fractured Existence, me, digital, 2021
    For those of you looking to try this out too, visit https://deepart.io/ Or Google for style transfer AI. Source: over 2 years ago
View more

What are some alternatives?

When comparing NumPy and Deepart.io, 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.

Prisma - Art filters using artificial intelligence to transform your photos into classic artwork.

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

Deep Dream Generator - Create inspiring visual content in a collaboration with our AI enabled tools.

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

Deep Art Effects - Deep Art Effects transforms your photos and videos into works of neural art using artistic style transfer of famous artists.