Metrics Graphics | Awesome Repository

metrics-graphics is a data visualization library and declarative graphics framework designed to create principled data graphics and layouts. It functions as a statistical graphics engine that maps raw data to geometric shapes and structured objects to render complex, data-driven layouts.

The toolkit specializes in rendering time-series data through line charts and scatterplots using a consistent layout system. It also provides capabilities for statistical distribution mapping, including the creation of rug plots to represent one-dimensional data density.

The system covers a broad surface of data visualization engineering, including custom chart layout design and declarative data visualization. It utilizes a compositional model to translate structured specifications into final pixels.

Features

Time-Series Visualizers - Provides a comprehensive toolkit for rendering time-series data as line charts, scatterplots, and histograms.
Statistical Plotting Libraries - Maps raw data to geometric shapes and statistical distributions like rug plots and histograms.
Visualization Engines - Builds principled charts and layouts to represent complex datasets in a visual format.
Data Visualization Libraries - Provides a library for creating principled data graphics and layouts optimized for concise representations of complex datasets.

Features

Time-Series Visualizers - Provides a comprehensive toolkit for rendering time-series data as line charts, scatterplots, and histograms.
Statistical Plotting Libraries - Maps raw data to geometric shapes and statistical distributions like rug plots and histograms.
Visualization Engines - Builds principled charts and layouts to represent complex datasets in a visual format.
Data Visualization Libraries - Provides a library for creating principled data graphics and layouts optimized for concise representations of complex datasets.