displot(), jointplot(), and kdeplot() for visualizing data distributions.lmplot() and regplot() for visualizing linear fits and confidence intervals.plotly.express: High-level for quick, one-line plots .plotly.graph_objects: For fine-tuned control over every element .mark_bar(), mark_line(), mark_point()).| Library | Design Philosophy | Primary Use Case | Learning Curve | Data Size Suitability |
|---|---|---|---|---|
| Matplotlib | Low-level, Imperative | Static, Publication-Quality | Steep | Small to Large |
| Seaborn | High-level Wrapper | Statistical EDA | Shallow | Small to Large |
| Plotly | Interactive, Web-based | Interactive/Dashboards | Medium | Small to Large |
| Bokeh | Interactive, Web-based | Streaming/Web Apps | Medium | Large/Streaming |
| Altair | Declarative | Exploratory/Rapid Prototyping | Shallow | Small to Medium |
| Feature/Functionality | Matplotlib | Seaborn | Plotly | Bokeh | Altair |
|---|---|---|---|---|---|
| Publication-Quality Output | Yes | Yes (with Matplotlib) | Yes (via Kaleido) | Partial | Yes |
| 3D Plots | Yes | No | Yes | Yes | No |
| Interactive Features | Yes | Yes (via Matplotlib) | Yes | Yes | Yes |
| Streaming Data Support | Yes (animation) | No | Yes (with Dash) | Yes | No |
| Built-in Dashboards | No | No | Yes (Dash) | Yes (server) | No |
| Simple API for Beginners | Partial | Yes | Yes (Express) | Partial | Yes |
| Advanced Statistical Plots | Yes (with wrappers) | Yes | Yes | Yes | Yes |
| Geospatial Support | Yes | Partial | Yes | Partial | Yes |
| Declarative Syntax | No | No | Partial | No | Yes |