Plotly.py is an interactive graphing library for Python that produces browser-based visualizations.
The library solves the problem of creating rich, interactive charts in Python by providing a high-level declarative interface built on top of plotly.js. It ships with over 30 chart types spanning scientific, 3D, statistical, financial, and map-based visualizations. Graphs render interactively in Jupyter notebooks, standalone HTML files, or integrated into Dash applications, allowing exploration and inspection of data without leaving the Python environment.
Plotly.py suits projects where interactivity and visual polish matter more than minimal dependencies. It works well for exploratory data analysis in notebooks, dashboard development via Dash, and sharing results as self-contained HTML files. The library also supports static image export through an optional kaleido dependency for cases where raster output is needed. Anyone adopting it should know that while the core charting functionality is comprehensive, some workflows may require the separate Dash framework for building full applications.
The project maintains a substantial user base, with almost all open issues originating from outside users rather than the core team. Maintainers typically respond to new issues and pull requests within a few days.
