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Kst VS Matplotlib

Compare Kst VS Matplotlib and see what are their differences

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Kst logo Kst

KDE Homepage, KDE.org

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Kst Landing page
    Landing page //
    2022-01-01
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Kst videos

+ Add

KST Kustoms Handlebars Review

More videos:

  • Review - KST Custom Bars Review
  • Review - Martin Pring - Using the KST for Sector Review | MarketWatchers LIVE

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Kst and Matplotlib)

Kst

Matplotlib

Technical Computing
8 8%
Technical Computing
92% 92
Office & Productivity
100 100%
Office & Productivity
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Numerical Computation
100 100%
Numerical Computation
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 Kst and Matplotlib

Kst Reviews

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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 Kst. While we know about 98 links to Matplotlib, we've tracked only 2 mentions of Kst. 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.

Kst mentions (2)

  • Looking for simple data visualization tool
    I think something like KST Plot might be perfect, but I have no idea how to install it on Manjaro. There's only a broken AUR package, and I'm not keen on trying to compile the whole thing on my own. Idk. Maybe I could get the Windows version to run in WINE.. yech.. Source: over 1 year ago
  • LabPlot 2.9, KDE's data analysis and visualization tool used by researchers, engineers and scientists worldwide, is coming out in April and needs volunteers to test the beta. You can help!
    How well does it handle streaming input data and real-time plots? I used kst that way to tune my CPU fan control a couple years ago, and it worked reasonably well and resource usage was light enough to not perturb the system under test too much. dnf install LabPlot wants to pull in half a gig of deps, which is kind of worrying. Although the flatpak is far smaller, so it's probably just a consequence of touching... Source: about 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 / 19 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 Kst and Matplotlib, you can also consider the following products

LabPlot - LabPlot is a KDE-application for interactive graphing and analysis of scientific data.

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

RJS Graph - RJS Graph is an artificial intelligence-based data management platform that allows users or developers to organize the data by manipulating the binaries, scientific, mathematical, and other insights with accurate results.

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

SciDaVis - SciDAVis is a free application for Scientific Data Analysis and Visualization.

Plotly - Low-Code Data Apps

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