A concise grammar of interactive graphics, built on Vega.

Visual analysis and diagnostic tools to facilitate machine learning model selection.

Visually Explore the Stanford Question Answering Dataset

Measure and visualize machine learning model performance without the usual boilerplate.

LineUp Library for Visual Analysis of Multi-Attribute Rankings

Vega Lite and Vega bridge to Vue.js ecosystem

A New Interactive Approach to Learning Data Analysis

Pair Trading View - .NET application for visual analysis of synthetic financial instruments based on statistical models.

Collaboration Spotting X - A network-based information retrieval and visual-analytics application

visual analysis of your VCF files

Julia API for creating Vega-Lite visualizations

📊 A task-based visualization recommendation app. Built with draco and vega-lite.

Visual Analysis of Temporal Summaries in Dynamic Graphs (IEEE TVCG)

Visualizing the relationships between different IP from network traffic capture.

LineUp Library for Visual Analysis of Multi-Attribute Rankings

FXL is an R package designed to accommodate the unique features and conventions commonly used when visualizing single case data. At present, these conventions are only accommodated in spreadsheet software (thus, faux XL).

LineUp.js Demo Application

[AAAI-23] AnoViz: A Visual Inspection Tool of Anomalies in Multivariate Time Series

LineUp Library for Visual Analysis of Multi-Attribute Rankings

A tree visualisation library for p5.js