Matplotlib VS Meander

• 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
  Meander offers a simple and intuitive interface that makes it easy for users to create walking, running, or cycling routes.
• Accurate Distance Measurement
  The software provides precise measurements of distance for custom routes, helping users plan their activities more effectively.
• Customization Options
  Users have the ability to customize their routes, including waypoints and alternate paths, allowing for tailored route planning.
• Mac Compatibility
  Meander is specifically designed for macOS, ensuring seamless integration and performance on Apple devices.
• Offline Use
  The application can be used offline, making it convenient for users to plan routes without an internet connection.

Possible disadvantages

• Limited Platform Availability
  Meander is only available for macOS, leaving out users who work on other operating systems like Windows or Linux.
• No Real-Time Navigation
  The software does not provide real-time navigation or turn-by-turn directions, which can be a drawback for users who need live guidance.
• Paid Software
  Meander is not free software, which may deter users who are looking for cost-free alternatives for route planning.
• Basic Features
  While functional, Meander may lack some advanced features found in other route planning applications, such as integration with fitness trackers.
• Potential Learning Curve
  Users unfamiliar with route planning software may experience a slight learning curve when first using Meander, despite its user-friendly design.

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Tracking Meander since Mar 2021.