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ITK VS Matplotlib

Compare ITK VS Matplotlib and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
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ITK logo ITK

ITK is an open-source, cross-platform library that provides developers with an extensive suite of software tools for image analysis.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • ITK Landing page
    Landing page //
    2022-03-11
  • Matplotlib Landing page
    Landing page //
    2023-06-14

ITK videos

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Skincare 101 | Our new skincare line itk

More videos:

  • Review - ITK Skincare Unboxing - Vegan, Cruelty Free, Sulfate Free,  Parabens Free, & Fragrance-Free

Matplotlib videos

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Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to ITK and Matplotlib)

ITK

Matplotlib

Data Science And Machine Learning
15 15%
Data Science And Machine Learning
85% 85
Technical Computing
0 0%
Technical Computing
100% 100
Python Tools
100 100%
Python Tools
0% 0
Software Libraries
100 100%
Software Libraries
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare ITK and Matplotlib

ITK Reviews

Top 8 Image-Processing Python Libraries Used in Machine Learning
ITK or Insight Segmentation and Registration Toolkit is an open-source platform that is widely used for Image Segmentation and Image Registration (a process that overlays two or more images).
Source: neptune.ai

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 doesn’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 seems to be a lot more popular than ITK. While we know about 98 links to Matplotlib, we've tracked only 4 mentions of ITK. 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.

ITK mentions (4)

  • Create Elegant C++ Spatial Processing Pipelines in WebAssembly
    The itkImage.h header is ITK's standard n-dimensional image data structure. - Source: dev.to / about 1 year ago
  • Welcome and guide first-time contributors with a GitHub Action
    In this post, we review how the Insight Toolkit (ITK) leverages the first-interaction GitHub Action to communicate our appreciation of the efforts of first-time contributors, establish norms for behavior, and provide civil pointers on where to find more information. - Source: dev.to / over 1 year ago
  • How to raise the quality of scientific Jupyter notebooks
    Jupyter has emerged as a fundamental component in artificial intelligence (AI) solution development and scientific inquiry. Jupyter notebooks are prevelant in modern education, commercial applications, and academic research. The Insight Toolkit (ITK) is an open source, cross-platform toolkit for N-dimensional processing, segmentation, and registration used to obtain quantitative insights from medical,... - Source: dev.to / over 1 year ago
  • Holy shit, it really seems to be working!
    It also depends heavily on the toolchain. One of the first successful toolkits used to circumvent image-based security measures was ITK, originally a toolkit for medical image processing. That's not even using AI (at least back then). Here you build "piplines" by lego'ing together functions like building blocks, there are rules to it, but the sleek interface design make it very versatile. It was a nightmare to... Source: almost 2 years ago

Matplotlib mentions (98)

  • Implementing semantic image search with Amazon Titan and Supabase Vector
    Matplotlib: for displaying our image result. - Source: dev.to / 24 days ago
  • Releasing The Force Of Machine Learning: A Novice’s Guide 😃
    Matplotlib: Acomprehensive library for creating static, animated, and interactive visualizations in Python. - Source: dev.to / 2 months ago
  • How to retrieve and analyze crypto order book data using Python and a cryptocurrency API
    Data visualization: utilizing Python's Matplotlib for visualizing order book information. - Source: dev.to / 5 months ago
  • Ask HN: What plotting tools should I invest in learning?
    For random, quick and dirty, ad-hoc plotting tasks my default is GNUPlot[1]. Otherwise I tend to use either Python with matplotlib, or R with ggplot2. I keep saying I'm going to invest the time to properly learn D3[4] or something similar for doing web-based plotting, but somehow never quite seem to find time to do it. sigh [1]: http://www.gnuplot.info/ [2]: https://matplotlib.org/ [3]:... - Source: Hacker News / 9 months ago
  • PSA: You don't need fancy stuff to do good work.
    Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: 12 months ago
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What are some alternatives?

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

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

GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.

Mahotas - Mahotas is a computer vision and image processing library for Python.

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

SciPy - SciPy is a Python-based ecosystem of open-source software for mathematics, science, and engineering. 

Plotly - Low-Code Data Apps

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