Matplotlib VS Figure

• 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

• 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.

• User-Friendly Interface
  Figure offers an intuitive and simple interface that makes it easy for users of all skill levels to create music quickly.
• Mobile Compatibility
  The app is optimized for mobile devices, allowing users to create and edit music on the go.
• Predefined Sound Packs
  Figure provides a variety of high-quality sound packs that users can use to enhance their music production.
• Live Performance Features
  The app supports live performance features, making it suitable for quick jam sessions or live shows.
• Affordable Pricing
  Figure is either free or comes at a very low cost, making it accessible to a wide range of users.

Possible disadvantages

• Limited Functionality
  Compared to full-fledged DAWs, Figure has limited features and functionality, which might not satisfy professional producers.
• Lack of Customizability
  Users have limited options when it comes to customizing sounds or creating unique presets.
• No Desktop Version
  Figure is only available for mobile devices, which might be a drawback for users who prefer working on a desktop.
• Exporting Limitations
  The app offers limited exporting options, which can be a hindrance for those looking to transfer their work to other platforms.
• Internet Dependency
  Some features and sound packs may require an internet connection, which could be a limitation for users without reliable access.

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

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Tracking Figure since Mar 2021.