Mercury widgets - a new way to make interactive webapp from Jupyter Notebook
05-18, 15:00–15:25 (Europe/Vilnius), Saphire A - Python

Have you ever wanted to share Jupyter Notebook with non-technical users? Mercury is a new way to add widgets to a notebook and share it with non-programmers. You can easily build a dashboard, reports, web app, interactive slides, or REST API. Mercury allows you to add widgets to Jupyter Notebook. After the widget change, all cells below the widget are reexetuted with a new widget value. This simple execution model allows converting any Jupyter Notebook into an interactive web application. You can easily create a dashboard or presentation (slides in presentations can be recomputed during the show with values provided with widgets). What is more, Mercury allows schedule automatic execution easily. The framework has a built-in authentication module so that notebooks can be shared publicly or restricted with a password. Mercury is an open-source framework.


Have you ever wanted to share Jupyter Notebook with non-technical users? Mercury is a new way to add widgets to a notebook and share it with non-programmers. You can easily build a dashboard, reports, web app, interactive slides, or REST API.
Mercury allows you to add widgets to Jupyter Notebook. After the widget change, all cells below the widget are reexetuted with a new widget value. This simple execution model allows converting any Jupyter Notebook into an interactive web application. You can easily create a dashboard or presentation (slides in presentations can be recomputed during the show with values provided with widgets). What is more, Mercury allows schedule automatic execution easily. The framework has a built-in authentication module so that notebooks can be shared publicly or restricted with a password. Mercury is an open-source framework.


What is a level of your talk

Beginner

What topics define your talk the best?

python, open source, data science, web API

Lawyer and graphic designer, supporting innovative ideas in the field of data science. Associated with MLJAR since 2019.