YouPlot ist ein Kommandozeilen-Plot-Dienstprogramm und ein Terminal-Datenvisualisierungstool, das verwendet wird, um statistische Plots und Diagramme direkt innerhalb einer Terminal-Schnittstelle mithilfe von Unicode-Zeichen zu rendern. Es fungiert als Unix-Pipeline-Plotter, der es Benutzern ermöglicht, numerische Daten zu visualisieren, ohne die Shell zu verlassen.
The main features of red-data-tools/youplot are: Terminal Plotting Tools, Character-Based Plotting, CLI Plotting Utilities, Command Line Analytics, Streaming Data Processing, Standard Input Ingestion, Shell Integration, Real-time Visualizations.
Open-source alternatives to red-data-tools/youplot include: nhn/tui.chart — tui.chart is a JavaScript data visualization library and multi-type charting engine used to render interactive… epochjs/epoch — Epoch is a CSS-stylable charting engine and visualization library designed for real-time and statistical data. It… bqplot/bqplot — bqplot is an interactive data visualization library for IPython and Jupyter notebooks that utilizes a grammar of… bloomberg/bqplot — bqplot is an interactive data visualization library for Jupyter notebooks. It implements a grammar of graphics model,… has2k1/plotnine — Plotnine is a data visualization library for Python based on the Grammar of Graphics. It serves as a declarative… gizak/termui — Termui is a Go terminal user interface library used for building interactive dashboards and visual layouts within a…
tui.chart is a JavaScript data visualization library and multi-type charting engine used to render interactive statistical charts. It functions as a responsive charting framework and real-time data visualizer, utilizing HTML5 Canvas for high-performance rendering of diverse datasets. The library provides a wide array of visual formats, including linear, circular, grid-based, hierarchical, and statistical chart types. This covers everything from standard bar, line, and pie charts to more specialized visualizations such as radar charts, treemaps, bubble charts, and box plots. The engine includ
Epoch is a CSS-stylable charting engine and visualization library designed for real-time and statistical data. It functions as a timeseries charting tool that renders historical and live data using a hybrid of SVG and HTML5 Canvas graphics to maintain performance during frequent updates. The library distinguishes itself through a unified CSS querying system that applies styles to both vector and raster plot elements. This allows for visual theme resolution via CSS classes and the ability to customize the appearance of specific data series using stylesheets. The toolset covers a broad range o
bqplot is an interactive data visualization library for Jupyter notebooks. It implements a grammar of graphics model, allowing users to build complex 2D charts by combining marks, scales, and axes. The library distinguishes itself with specialized toolkits for financial charting, such as OHLC candlesticks and time-series analysis, and geographic data visualization, including choropleths and custom map projections for TopoJSON and GeoJSON data. It enables deep interaction through tools like lasso selection, rectangular brushing, and the ability to manually manipulate plot points or line data.
bqplot is an interactive data visualization library for IPython and Jupyter notebooks that utilizes a grammar of graphics. It functions as a tool for creating 2D charts and maps with real-time updates and bidirectional communication between the kernel and frontend. The library is distinguished by its ability to act as a geographic data visualization tool, rendering choropleth maps and spatial data via GeoJSON and custom projections. It also serves as a financial charting tool for producing OHLC and candle bar charts, and as an interactive dashboard framework for combining plotting widgets wit