improVerticles
Trusted, reusable components that accelerate your data science workflow - from simple functions to complete Shiny applications
What are improVerticles?
improVerticles are R packages built on the improve platform that provide a versatile toolkit to leverage your data for modeling, simulation, biostatistical analysis, and visualization. They share a unified design philosophy and consistent data structures, making them easy to learn and combine.
Think of improVerticles as your team's validated, tested components that stop you from reinventing the wheel. They range from small utility functions to complete interactive dashboards, all designed to work seamlessly together within the improVerse ecosystem.
Technical Overview
An improVerticle is a self-contained, versioned, and packaged software component designed to add specific functionalities to the improve platform. Think of them as plug-ins, extensions, or functional building blocks that can be discovered, instantiated, and composed together.
- Modular & Versioned: Each improVerticle is strictly version-controlled, enabling precise dependency management and reproducible deployments
- Discoverable: Registered and managed through the Higgsfield system, making them easy to find and instantiate
- Composable: Can extend (inherit from) or be entangled (composed) with other improVerticles for complex functionality
- Runtime Environment: Primarily designed for R, with initialization scripts that define functions and behavior in dedicated environments
Key Capabilities
improVerticles provide comprehensive functionality across the entire data science lifecycle
Data Accessibility
Alternative methods to access repository data with flexible interaction patterns. Work with your data the way you want, while maintaining full version control and traceability.
Reporting & Documentation
Seamless integration with R Markdown for customized reports and interactive dashboards. Every report includes a detailed provenance trail for complete data transparency.
Model Development
Automated machine learning approaches with comprehensive documentation of all analysis steps. Build sophisticated models while maintaining full reproducibility.
Analysis Sharing
Export entire analysis trees as portable packages that preserve all steps, files, and metadata. Enable true collaborative work across organizational boundaries.
Types of improVerticles
From simple utilities to complete applications
Utility Functions
Small, focused functions for common data manipulation, calculation, and transformation tasks
Visualization Components
Pre-built plotting and charting functions with consistent styling and interactive features
Analysis Modules
Complete analytical workflows for specific tasks like biostatistics, PK/PD modeling, or machine learning
Shiny Applications
Full-featured interactive dashboards and apps for data exploration, visualization, and reporting
Tool Integrations
Wrappers and interfaces for external tools like NONMEM, command-line utilities, or other software
UI Components
Reusable UI elements and widgets for building consistent, professional interfaces
Design Philosophy
Unified Grammar
All improVerticles share consistent naming conventions, parameter structures, and data formats. Learn one, and the rest become intuitive.
Composable Components
improVerticles are designed to work together seamlessly. Combine simple components to build sophisticated workflows without friction.
Reproducibility First
Every improVerticle automatically tracks its inputs, parameters, and outputs. Full provenance comes built-in, not as an afterthought.
Ready to Accelerate Your Workflow?
Explore how improVerticles can transform your data science practice