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Seaborn VS Splitbee

Compare Seaborn VS Splitbee and see what are their differences

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Seaborn logo Seaborn

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

Splitbee logo Splitbee

Track and optimize your online business with Splitbee. Your friendly all-in-one analytics & conversion platform.
  • Seaborn Landing page
    Landing page //
    2023-10-20
  • Splitbee Landing page
    Landing page //
    2023-04-11

Splitbee

$ Details
freemium $11.0 / Annually (Pro, 25k page views/month; 250 user profiles)
Platforms
Browser Web Google Chrome Firefox Safari

Seaborn features and specs

  • 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.
  • Integration with Pandas
    Seaborn automatically works well with Pandas data structures, making it easy to visualize data directly from DataFrames without additional data manipulation.
  • 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.
  • 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.
  • Customization
    It provides extensive options for customizing plots, giving users the flexibility to tailor their visualizations to specific needs and preferences.

Possible disadvantages of Seaborn

  • Dependence on Matplotlib
    Seaborn is built on top of Matplotlib, and users may need to understand Matplotlib to handle more intricate customizations that Seaborn does not directly support.
  • Learning Curve
    While Seaborn simplifies plotting, there is still a learning curve involved, especially for users unfamiliar with statistical data visualization.
  • Limited Interactivity
    Seaborn primarily generates static plots, which may not provide the level of interactivity required for dynamic data exploration compared to other tools such as Plotly or Bokeh.
  • Performance
    For very large datasets, Seaborn may become slow, and performance can be an issue compared to more optimized visualization libraries.
  • 3D Plotting Support
    Seaborn does not natively support 3D plotting, limiting its use for visualizations that require three-dimensional data representation.

Splitbee features and specs

  • Funnel Builder
    Available
  • Automations
    Available
  • Conversion Optimization Tool
    Available

Seaborn videos

Seaborn Review

Splitbee videos

No Splitbee videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Seaborn and Splitbee)
Data Science And Machine Learning
Analytics
0 0%
100% 100
Development
100 100%
0% 0
Web Analytics
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 Seaborn and Splitbee

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...

Splitbee Reviews

  1. lauridskern
    ยท Working at IndieBrands ยท
    Using it since day one

    Such a great product, extremely fast to navigate through the dashboard and I use the automations for multiple projects to send emails to customers.

    ๐Ÿ‘ Pros:    Nice dashboard|Super fast|Automations

Social recommendations and mentions

Based on our record, Seaborn should be more popular than Splitbee. It has been mentiond 37 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.

Seaborn mentions (37)

  • How I Hacked Uberโ€™s Hidden API to Download 4379 Rides
    Below are the key insights. If you want to see the Python code I used to do this analysis and generate the charts using Seaborn, you can find my full analysis Jupyter notebook on my Github repo here: Tip Analysis.ipynb. - Source: dev.to / over 1 year ago
  • 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 / almost 2 years 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 / almost 2 years 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 - Dragโ€™nโ€™drop Pivot Tables and Charts for Jupyter/IPython Notebook LazyPredict - build... - Source: dev.to / almost 2 years 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 / about 2 years ago
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Splitbee mentions (14)

  • What do you struggle the most with as a Saas owner?
    I'm not a big fan of Google Analytics either. I used https://splitbee.io/ for my last Saas which did showed you sources from where users came from. Looks like Vercel acquired it. Source: about 3 years ago
  • How can i get animation like this ?
    Https://splitbee.io/ How can I achieve animation like this ? I am talking about the path animation with infinite. Source: about 3 years ago
  • free-for.dev
    Splitbee โ€” Track and optimize your online business with Splitbee. Free plan includes up to 2,500 events / month, 6 months retention, 1 x Active A/B Test and 1 x Active Automation. - Source: dev.to / over 3 years ago
  • Plausible analytics on Amazon free servert
    I am assuming you are referring to using Amazon S3 to serve a static website. You cannot run plausible in this mode because it needs to be able to write to a database. You cannot do with the S3 Static website. If you are just starting up and not expecting too much traffic you can try splitbee - https://splitbee.io/. They have a hosted solution with a free starter tier. Source: almost 4 years ago
  • Struggling with connecting google analytics
    On the other hand splitbee.io ๐Ÿ is a great Analytics tool and it replaces Tag Manager plus it operates using attributes. Source: almost 4 years ago
View more

What are some alternatives?

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

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

Plausible.io - Plausible Analytics is a simple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics. Made and hosted in the EU, powered by European-owned cloud infrastructure ๐Ÿ‡ช๐Ÿ‡บ

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

Mixpanel - Mixpanel is the most advanced analytics platform in the world for mobile & web.

Quantopian - Your algorithmic investing platform

Fathom Analytics - Simple, trustworthy website analytics (finally)