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Matplotlib VS Splitbee

Compare Matplotlib VS Splitbee and see what are their differences

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Matplotlib logo Matplotlib

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

Splitbee logo Splitbee

Track and optimize your online business with Splitbee. Your friendly all-in-one analytics & conversion platform.
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • Splitbee Landing page
    Landing page //
    2023-04-11

Splitbee

$ Details
freemium $11.0 / Annually (Pro, 25k page views/month; 250 user profiles)
Platforms
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Matplotlib features and specs

  • Versatility
    Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
  • Customization
    It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
  • Integrations
    Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
  • Community and Documentation
    It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
  • Interactivity
    Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
  • Publication-Quality
    The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.

Possible disadvantages of Matplotlib

  • Complexity
    While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
  • Performance
    Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
  • Modern Aesthetics
    Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
  • 3D Plots
    Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
  • Size and Structure
    The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.

Splitbee features and specs

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

Analysis of Matplotlib

Overall verdict

  • Yes, Matplotlib is a good library for data visualization, particularly for users who require a versatile and powerful plotting solution in Python.

Why this product is good

  • Matplotlib is highly regarded due to its extensive customization options, versatility in creating a wide range of static, animated, and interactive plots, and its large user community and support. It integrates well with other scientific libraries in Python, making it a staple for data visualization. The library is also open-source and frequently updated, ensuring it remains a reliable choice for users.

Recommended for

  • Data scientists and analysts needing to create detailed, customized visual representations of their data.
  • Researchers and engineers looking for a comprehensive plotting library that supports scientific and engineering formats.
  • Python developers who require integration with other scientific computing libraries like NumPy and Pandas.

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Splitbee videos

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Category Popularity

0-100% (relative to Matplotlib and Splitbee)
Data Science And Machine Learning
Analytics
0 0%
100% 100
Technical Computing
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 Matplotlib and Splitbee

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 doesnโ€™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...

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, Matplotlib should be more popular than Splitbee. It has been mentiond 114 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 (114)

  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ€” the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes itโ€™s easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
  • libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators
    We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
  • Building an AI Scoring Agent: Step-By-Step
    NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโ€ฆ. - Source: dev.to / 10 months ago
View more

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 Matplotlib and Splitbee, you can also consider the following products

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

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

NumPy - NumPy is the fundamental package for scientific computing with Python

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

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

Fathom Analytics - Simple, trustworthy website analytics (finally)