Stack Explorer

Matplotlib

visualization

2D visualization and plotting library for Python

10M/week → Stable

Features

chartsplotsvisualizationscientific

Pros and Cons

Ventajas

  • + Full control over every plot element
  • + Wide variety of chart types
  • + Export to multiple formats
  • + Jupyter notebook integration
  • + Base for Seaborn and other libraries

Desventajas

  • - Verbose and sometimes confusing API
  • - Default styles not very modern
  • - Limited interactivity
  • - Learning curve for complex plots

Use Cases

  • Scientific and academic charts
  • Data visualization in notebooks
  • Publication-ready plots
  • Exploratory data analysis
  • ML results visualization

Tecnologías Relacionadas

Compatible with