Software Alternatives & Reviews

Matplotlib VS Seaborn

Compare Matplotlib VS Seaborn and see what are their differences

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

Seaborn logo Seaborn

Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • Seaborn Landing page
    Landing page //
    2023-10-20

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Seaborn videos

Seaborn Review

Category Popularity

0-100% (relative to Matplotlib and Seaborn)
Technical Computing
80 80%
20% 20
Development
0 0%
100% 100
Data Science And Machine Learning
Data Visualization
100 100%
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 Matplotlib and Seaborn

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.
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.
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.
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...

Seaborn Reviews

5 Best Python Libraries For Data Visualization in 2023
Seaborn is working hard to make visualization a central part of understanding and exploring data. Its dataset-oriented plotting functions run on data frames carrying whole datasets. Seaborn internally performs the necessary semantic mapping and statistical aggregation to provide informative plots. Lastly, Seaborn is fully integrated with the PyData stack including support...
Top 8 Python Libraries for Data Visualization
Seaborn is a Python data visualization library that is based on Matplotlib and closely integrated with the NumPy and pandas data structures. Seaborn has various dataset-oriented plotting functions that operate on data frames and arrays that have whole datasets within them. Then it internally performs the necessary statistical aggregation and mapping functions to create...

Social recommendations and mentions

Based on our record, Matplotlib should be more popular than Seaborn. It has been mentiond 98 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.

Matplotlib mentions (98)

  • Implementing semantic image search with Amazon Titan and Supabase Vector
    Matplotlib: for displaying our image result. - Source: dev.to / 27 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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Seaborn mentions (32)

  • Apache Superset
    If you are doing data analysis I don't think any of the 3 pieces of software you mentioned are going to be that helpful. I see these products as tools for data visualization and reporting i.e. Presenting prepared datasets to users in a visually appealing way. They aren't as well suited for serious analytics. I can't comment on Superset or Tableau but I am familiar with Power BI (it has been rolled out across my... - Source: Hacker News / 2 months ago
  • Seaborn bug responsible for finding of declining disruptiveness in science
    It's referring to the seaborn library (https://seaborn.pydata.org/), a Python library for data visualization (built on top of matplotlib). - Source: Hacker News / 2 months ago
  • Why Pandas feels clunky when coming from R
    While it’s not perfect and it’s not ggplot2, Seaborn is definitely a big improvement over bare matplotlib. You can still use matplotlib to modify the plots it spits out if you want to but the defaults are pretty good most of the time. https://seaborn.pydata.org/. - Source: Hacker News / 2 months ago
  • Releasing The Force Of Machine Learning: A Novice’s Guide 😃
    Seaborn: A statistical data visualization library based on Matplotlib, enhancing the aesthetics and visual appeal of statistical graphics. - Source: dev.to / 2 months ago
  • [OC] Nationwide Public Transit Ridership is down 30% from pre-lockdown levels; San Francisco's BART ridership is down almost 70%
    You've done a great job presenting this. Maybe you already know, but seaborne is an extension of matplotlib that makes it pretty easy to "beautify" matplotlib charts. Source: 10 months ago
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What are some alternatives?

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

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

Backtrader - Backtrader is a complete and advanced python framework that is used for backtesting and trading.

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

Streak.world - Streak.world is one of the leading algo trading platforms, allowing you to design an algorithm to automate your trading strategies without any coding skills needed.

Plotly - Low-Code Data Apps

quantra - A public API for quantitative finance made with Quantlib