Chartify is a Python library that makes it easy for data scientists to create charts.
Chartify addresses the friction data scientists face when creating visualizations by enforcing a consistent tidy data format across all plotting functions, eliminating the need to reshape data for different chart types. The library wraps Bokeh to provide smart default styling that produces polished charts with minimal customization, while maintaining an intuitive API designed for ease of learning and use.
Data scientists working in exploratory analysis or reporting should consider Chartify when they want to generate professional-looking visualizations quickly without deep customization needs. The tool suits projects where consistent styling across multiple charts matters and where the tidy data format aligns with existing workflows. For users who need fine-grained control beyond what Chartify provides, the underlying Bokeh API remains accessible as an escape hatch.
The project maintains active continuous integration testing across multiple Python versions. Documentation is comprehensive, with tutorial and example notebooks provided to guide new users, and the project has established contribution guidelines for community participation.
