Numerous packages exist within the Python open-source ecosystem for algorithm building and data visualization. However, a significant challenge persists, with over 85% of Data Science Pilots failing to transition to the production stage.

This talk introduces Taipy, an open-source Python library for building web applications’ front-end and back-end. It enables Data Scientists and Python Developers to create production-ready applications for end-users.

Its simple syntax facilitates the creation of interactive, customizable, and multi-page dashboards without having to know about HTML or CSS. Taipy generates highly interactive interfaces, including charts and all sorts of widely used controls.

Additionally, Taipy is engineered to construct robust and tailored data-driven back-end applications. It models dataflows and orchestrates pipelines. Each pipeline execution is referred to as a scenario. Scenarios are stored, recorded, and actionable, enabling what-if analysis or KPI comparison.

Lately, Taipy provides the most suitable cloud tool to host, deploy, and share your Taipy applications easily. In addition, this platform provides the ability to manage, store, and maintain the various states of your backend.