6 Repos
Annotations that draw horizontal, vertical, or sloped lines on a chart from a single value or a dataset to mark milestones or targets.
Distinct from Chart Annotations: Distinct from Chart Annotations: specifically focuses on line-based reference markers rather than general annotation shapes or labels.
Explore 6 awesome GitHub repositories matching data & databases · Reference Line Annotations. Refine with filters or upvote what's useful.
Draws a horizontal, vertical, or sloped line on a chart from a single value or a dataset to mark milestones or targets.
ScrollableGraphView is a Swift data visualization library and iOS plotting framework used to render discrete numerical datasets as interactive graphs. It provides a scrollable user interface component that visualizes data points using a coordinate system with configurable layouts and styling. The framework is characterized by its adaptive graph scaling, which automatically adjusts the vertical axis to fit the visible data points as the user scrolls. It supports real-time data rendering, allowing graph views to update instantly as underlying datasets change through animated transitions. The l
Draws static horizontal or vertical markers to highlight thresholds or baseline values on the graph.
Vega-Lite is a high-level declarative language for specifying interactive, multi-view visualizations. It compiles a concise JSON specification into a full Vega visualization, automatically inferring scales, axes, and legends from encoding declarations. The grammar-of-graphics encoding maps data fields to visual channels such as position, color, size, and shape, while a multi-view composition grammar enables layered, faceted, concatenated, and repeated layouts. Reactive parameter binding links named parameters to input widgets, selections, and expressions for dynamic updates. The project suppo
Draws horizontal or vertical lines spanning the full view for annotations such as average values.
Diese C++-Datenvisualisierungsbibliothek ist ein wissenschaftliches Plotting-Framework, das zum Erstellen von 2D- und 3D-Diagrammen, Netzwerk-Graphen und geografischen Karten verwendet wird. Sie arbeitet als Multi-Backend-Grafikbibliothek, die High-Level-Plotting-Logik von Low-Level-Rendering-Engines entkoppelt, um verschiedene Ausgabe-Backends zu unterstützen. Das Projekt zeichnet sich durch eine Dual-Interface-API aus, die sowohl ein globales funktionales Interface für schnelles Prototyping als auch ein objektorientiertes Interface für präzise Kontrolle bietet. Es verfügt über eine Komponenten-basierte Layout-Engine zur Verwaltung gekachelter Grids und Subplots, neben einem Layered-Plot-State, der es ermöglicht, mehrere Datenserien zu überlagern, ohne Achsen zu löschen. Die Bibliothek deckt ein breites Spektrum an Visualisierungsfunktionen ab, einschließlich mathematischem Funktionsplotten, Vektorfeldern und multidimensionaler Datenanalyse durch Heatmaps und parallele Koordinaten. Sie enthält spezialisierte Tools für die Visualisierung geografischer Daten, wie Geobubble- und Geodensity-Plots, sowie Tools zum Rendern gerichteter und ungerichteter Graphennetzwerke. Zu den allgemeinen Funktionen gehören Achsenverwaltung, ästhetisches Styling mit Colormaps und der Export hochwertiger Grafiken. Das Projekt nutzt CMake für Build-Automatisierung und Dependency-Retrieval, um die Installation über verschiedene Betriebssysteme hinweg zu erleichtern.
Draws horizontal, vertical, or sloped reference lines to mark milestones or targets on a chart.
mplfinance is a financial time-series plotter and market data visualization framework built on Matplotlib. It is designed to render market data frames into specialized charts, including candlesticks, OHLC bars, Renko bricks, and point-and-figure columns. The library distinguishes itself through a dedicated market data framework that manages trading calendars and non-trading periods, ensuring accurate temporal spacing by collapsing gaps during holidays. It also provides a system for technical analysis charting, enabling the overlay of moving averages, volume bars, and other technical indicator
Adds horizontal, vertical, and trend lines to highlight specific market signals or boundaries.
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.
Adds constant vertical or horizontal reference lines to mark specific data thresholds.