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MERCURY

Turn Jupyter notebooks into web apps

Apache-2.0

ABOUT

Data scientists build analyses in Jupyter notebooks but struggle to share them with non-technical stakeholders who need interactive controls. Mercury adds YAML configuration headers to existing notebooks that declare sliders, dropdowns, text inputs, and file uploads — automatically generating a responsive web application without requiring web development skills, framework migrations, or code changes to the original notebook logic.

INSTALL
pip install mercury

INTEGRATION GUIDE

1. Share exploratory data analyses with business stakeholders who can adjust parameters and see results update in real time 2. Convert ML training notebooks into interactive demo tools where users control hyperparameters and visualize model outputs 3. Build internal dashboards that let team members run pre-built analyses on their own uploaded data without writing code 4. Deploy notebook-based reports and simulations as password-protected web apps accessible from any browser

TAGS

jupyternotebookweb-appdashboardpythondata-sciencesharing
Mercury — AI Tool | Agentic AI For Good