mljar/mercury

Features

• Web Application Deployment - Turns Jupyter notebooks into interactive web applications for sharing data analysis without requiring frontend code.
• Notebook-to-Web Converters - Transforms Jupyter notebook cells and interactive widgets into functional web applications without requiring frontend code.
• Data Visualization Dashboards - Creates interactive dashboards and data visualization interfaces derived directly from notebook cells.
• Execution APIs - Provides a remote execution API to trigger notebook computations and retrieve results as structured data.
• Web App Frameworks - Serves as a framework for turning Jupyter notebooks into interactive web applications via widget mapping.
• Notebook Execution Engines - Provides a notebook execution engine that allows triggering computation via remote API calls to retrieve structured data.
• Execution Kernels - Implements a decoupled execution kernel that processes Python code remotely and returns results to the web client.
• Live Application Session Sharing - Synchronizes live application sessions across multiple users to enable simultaneous interaction.
• Real-Time Session Synchronization - Synchronizes the current state of a running notebook across multiple user sessions in real time.
• Reactive Execution Triggers - Triggers the automatic re-execution of notebook cells when a user modifies an input widget.
• Interactive Dashboards - Provides a way to organize visual data components from notebooks into interactive dashboards for monitoring and exploration.
• Web Application Development - Constructs interactive web applications from notebooks, allowing users to execute code via widgets.
• Automated Report Generators - Schedules notebook execution to produce and export data results as automated PDF or HTML reports.
• Interactive Presentations - Generates interactive slide decks that automatically recompute data and visuals during live presentations.
• Notebook-to-Static-Site Generators - Transforms Jupyter notebooks into static websites and downloadable PDF or HTML reports.
• Static Websites - Transforms notebooks into static websites for public content sharing.
• Internal Tool Builders - Enables the rapid creation of internal tools and administrative interfaces using notebook-based logic and widgets.
• Containerized Notebook Servers - Provides a containerized server for deploying and managing password-protected interactive notebook applications.
• Container Hosting - Runs applications in containerized environments to maintain full control over private infrastructure.
• Docker Container Deployments - Packages the application and its dependencies into Docker images for consistent deployment across hosting environments.
• Managed Cloud Deployments - Publishes applications to a managed cloud service to eliminate the need for server infrastructure management.
• Self-Hosted Container Hosting - Supports deploying notebook applications within self-managed container environments using Docker.
• Self-Hosted Deployments - Deploys dedicated application servers on private infrastructure using tools like Docker Compose.
• Execution Flow Control - Provides mechanisms to toggle between automatic cell re-execution and manual triggering via a run button.
• Interactive Chat Interfaces - Supports the construction of interactive chat interfaces that combine text communication with embedded data visualizations.
• Publishing and Conversion - Converts notebooks into interactive web applications.
• Dashboards - Convert Jupyter notebooks into interactive web apps.

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