AI Context: Python Library

User problem

Users struggle to incorporate proprietary or specialized Python libraries into their data applications built with Plotly Studio, limiting the functionality and customization of their generated apps. This often leads to manual workarounds or an inability to fully leverage their existing codebases.

What is it?

This feature introduces a mechanism for Plotly Studio to integrate with and understand external Python libraries, including private and open-source packages. This integration allows Plotly Studio to access and interpret the Application Programming Interface (API) of these specified libraries.

What does it allow users to do?

This feature allows users to:

• Reference any Python library: Users can specify a particular Python library, whether it's a private internal tool or a publicly available open-source package.

• Leverage custom functions: Once the library is referenced, Plotly Studio can crawl its API, enabling users to incorporate custom calculations, data transformations, and other functions from that library directly into their data applications during the generation process.

• Enhance application capabilities: Users can build more sophisticated and tailored data applications by utilizing the specific functionalities provided by their chosen external libraries, reducing the need for manual coding or workarounds.