Changelog

Initial release of matplotly
Jupyter-native interactive matplotlib figure editor
Support for 10+ plot types: line, scatter, bar, histogram, box, violin, errorbar, heatmap, fill, marginal
Three usage modes: direct figure, decorator, context manager
Code generation for reproducible figures
Undo / redo with full command history
Style profiles: save and load reusable figure styles
Subplot support with per-axes controls