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Seaborn

Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.

Seaborn Reviews and details

Screenshots and images

  • Seaborn Landing page
    Landing page //
    2023-10-20

Features & Specs

  1. High-Level Interface

    Seaborn provides a high-level interface for drawing attractive statistical graphics, simplifying the process of creating complex plots with just a few lines of code.

  2. Integration with Pandas

    Seaborn automatically works well with Pandas data structures, making it easy to visualize data directly from DataFrames without additional data manipulation.

  3. Built-in Themes

    Seaborn offers built-in themes and color palettes that allow users to quickly improve the aesthetics of their plots, making them more appealing and informative.

  4. Statistical Plotting

    Seaborn includes a wide array of statistical plots like heatmaps, violin plots, and box plots, which help in understanding data distribution and relationships.

  5. Customization

    It provides extensive options for customizing plots, giving users the flexibility to tailor their visualizations to specific needs and preferences.

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Videos

Seaborn Review

Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about Seaborn and what they use it for.
  • Scientific Visualization: Python and Matplotlib, by Nicolas Rougier
    Additionally, Seaborn (https://seaborn.pydata.org/) is a great mention for people that want to use Matplotlib with better default aesthetics, amongst other conveniences: "Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.". - Source: Hacker News / 5 months ago
  • Data Visualisation Basics
    Seaborn: built on top of matplotlib, adds a number of functions to make common statistical visualizations easier to generate. - Source: dev.to / 6 months ago
  • Useful Python Libraries for AI/ML
    Pandas - The standard data analysis and manipulation tool Numpy - scientific computing library Seaborn - statistical data visualization Sklearn - basic machine learning and predictive analysis CausalML - a suite of uplift modeling and causal inference methods PyTorch - professional deep learning framework PivotTablejs - Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook LazyPredict - build... - Source: dev.to / 6 months ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / 8 months ago
  • 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 / 12 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 / 12 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 / 12 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 / 12 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: over 1 year 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: almost 2 years ago
  • Pandas Free Online Tutorial In Python — Learn Pandas Basics In 5 Lessons!
    This part will teach you how to make various sorts of visualisations with Pandas and other popular libraries like Matplotlib and Seaborn. You will learn how to make line plots, scatter plots, bar plots, and other types of plots. Source: almost 2 years ago
  • Machine learning with Julia - Solve Titanic competition on Kaggle and deploy trained AI model as a web service
    Using Plots.jl, you can create a lot of different graphs to analyze your data, similar to Matplotlib or Seaborn in Python. To use it, you have to install the Plots package to your notebook and import it:. - Source: dev.to / almost 2 years ago
  • Best tools for good looking tables and piecharts
    Seaborn is based on matplotlib and quite modern. Coming from R and used to ggplot (which is also available in python) I really like it. Source: about 2 years ago
  • [OC] Flossing was one of my New Year's resolutions for 2022
    Made the heatmap with seaborn, a Python data visualization library based on matplotlib. Source: about 2 years ago
  • seaborn v0.12.1 released
    If you don't know seaborn, you should get to know seaborn :). Source: over 2 years ago
  • What's New in Matplotlib 3.6.0
    The "I'll fix it later" aesthetic of matplotlib is addressed well by seaborn []. It is based on matplotlib, but it tends to do the right things, and it works gracefully with Pandas. The killer feature for me in Seaborn is "sns.despine()". [] https://seaborn.pydata.org. - Source: Hacker News / over 2 years ago
  • Physics simulations in Python
    Seaborn is a nice data visualization package built upon matplotlib. Source: over 2 years ago
  • Visualizing Supabase Data using Metabase
    Data helps organizations make better decisions. With a programming language like Python to analyze your data and transform data into visual representations, you can effortlessly tell the story of your business. One way to create customized visuals from your data would be to use data visualization libraries in Python like Matplotlib, Seaborn, Ggplot2, Plotly, or Pandas. When you want to accomplish this task with... - Source: dev.to / over 2 years ago
  • Visualizing TomTom Traffic Index Data with Data Science Tools
    The Seaborn library is based on Matplotlib and offers attractive statistical visualizations. Import Seaborn using this command:. Source: over 2 years ago
  • Python in Action: Machine Learning
    5. Seaborn is built on Matplotlib and can be used for plotting statistics and generating accessible graphics. - Source: dev.to / over 2 years ago
  • News algorithm project-Help needed
    This sounds very vague to me, but Python can probably do what you are imagining. For example, for graphs of statistical relationships between data, there is https://matplotlib.org/ and https://seaborn.pydata.org/. If you want to go deeper into machine learning, there is https://scikit-learn.org/stable/index.html and https://www.tensorflow.org/ for example. Also, take a look at https://pandas.pydata.org for tabular... Source: almost 3 years ago

External sources with reviews and comparisons of Seaborn

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 for NumPy and pandas data structures.
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 informative plots that the user desires. It...

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