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Matplotlib VS SplitBill

Compare Matplotlib VS SplitBill and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Matplotlib logo Matplotlib

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

SplitBill logo SplitBill

An iOS App to split transactions from an image.
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • SplitBill Landing page
    Landing page //
    2025-06-07

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.

SplitBill features and specs

  • Open Source
    Being available on GitHub means that SplitBill's source code is open source, allowing developers to freely access, modify, and contribute to the project.
  • Cost Effective
    Users can save money as there is no purchase cost associated with using an open source project like SplitBill.
  • Collaborative Development
    The project can benefit from collaborative development, where developers around the world can contribute to improving and expanding its features.
  • Transparency
    Users can review the code themselves to ensure there are no hidden functionalities or privacy concerns.

Possible disadvantages of SplitBill

  • Limited Documentation
    Open source projects sometimes lack comprehensive documentation, which can make it harder for new users to understand and use the software effectively.
  • Maintenance
    Open source projects may suffer from a lack of active maintenance, leading to issues like bugs or security vulnerabilities not being addressed in a timely manner.
  • User Support
    Since it's a community-driven project, it might lack dedicated customer support, requiring users to rely on community forums for assistance.
  • Technical Barrier
    Non-technical users may find it difficult to set up and use the software without a user-friendly interface or guidance.

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.

Analysis of SplitBill

Overall verdict

  • SplitBill is a solid open-source solution for splitting shared expenses among groups, offering transparency and free usage without vendor lock-in, though as a GitHub project its polish and support depend on community maintenance.

Why this product is good

  • It's open-source, meaning you can inspect, self-host, and customize the code to fit your needs
  • Free to use with no subscription fees or hidden costs typical of commercial expense-splitting apps
  • Gives you full control and ownership over your financial data by allowing self-hosting
  • Community-driven development means you can contribute features or fixes directly

Recommended for

  • Developers and technically-inclined users comfortable with self-hosting and GitHub projects
  • Roommates and shared households looking to track and split recurring expenses
  • Groups of friends splitting trip or event costs who value privacy and data ownership
  • Privacy-conscious users who prefer open-source tools over commercial apps like Splitwise

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

SplitBill videos

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[Review] SplitBill Splitz

Category Popularity

0-100% (relative to Matplotlib and SplitBill)

Matplotlib

SplitBill

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Bill-Splitting Apps
0 0%
Bill-Splitting Apps
100% 100
Technical Computing
100 100%
Technical Computing
0% 0
Personal Finance
0 0%
Personal Finance
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 SplitBill

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 doesnโ€™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

SplitBill Reviews

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Social recommendations and mentions

Based on our record, Matplotlib seems to be more popular. 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

SplitBill mentions (0)

We have not tracked any mentions of SplitBill yet. Tracking of SplitBill recommendations started around Jun 2025.

What are some alternatives?

When comparing Matplotlib and SplitBill, 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.

Splitwise - Splitwise is a free tool for friends and roommates to track bills and other shared expenses, so that everyone gets paid back. On the web, iPhone, and Android!

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

Tricount - Manage and share expenses with friends

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

Settle Up - SETTLE UP is an indispensable app for friends and flatmates who need to keep track of shared bills...

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