A Python library for creating plots specific to oceanography, often used with data from numerical ocean models or observational datasets.
OceanPlots
- Python
- 2D Graphics, Data Analytics, Ecology and Sustainability, Marine Science
- Environmental Engineering, Environmental Impact, Marine Ecosystems, Marine Life Impact, Software, User experience (UX), User Interface (UI)
Features:
- Specialized oceanographic plots (sections, transects, maps with coastlines), integration with xarray and netCDF data, colormap handling suitable for ocean variables, vector plots, Hovmöller diagrams, support for map projections (Cartopy).
Pricing:
- Free
- Tailored for common oceanographic visualization tasks, simplifies the creation of publication-quality ocean plots, leverages xarray for data handling.
- Relatively niche library with a smaller user base, development activity appears to be moderate, documentation might be limited to specific use cases, relies heavily on other libraries like Matplotlib and Cartopy.
Best for:
- Oceanographers and marine scientists needing to create specialized visualizations of oceanographic data from model outputs or observations.