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SciencePlots is a Matplotlib style library and scientific plotting framework designed to automate the formatting of figures for academic journals and professional scientific publications. It provides a collection of visual presets and configuration rules for academic typography, layout, and resolution.
The main features of garrettj403/scienceplots are: Plot Styling Configurators, Publication Figure Formatting, Scientific Plot Customizers, Matplotlib, Visual Style Standardization, Color Palette Selection, Scientific Plotting Frameworks, Accessible Palettes.
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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
Dracula Theme is a universal dark color palette and cross-platform theme specification. It provides a standardized set of high-contrast colors designed to implement a unified dark aesthetic across various text editors and terminals. The project is an accessible color scheme that maintains a minimum 4.5:1 contrast ratio to meet global visual accessibility standards. It ensures a cohesive visual experience by synchronizing these colors across different operating systems and developer environments. The system utilizes a centralized color palette and static definitions to maintain consistency. I
This C++ data visualization library is a scientific plotting framework used to create 2D and 3D charts, network graphs, and geographic maps. It operates as a multi-backend graphics library, decoupling high-level plotting logic from low-level rendering engines to support various output backends. The project distinguishes itself with a dual-interface API, providing both a global functional interface for rapid prototyping and an object-oriented interface for precise control. It features a component-based layout engine for managing tiled grids and subplots, alongside a layered plot state that all
ScottPlot is a cross-platform, high-performance charting library for .NET that renders interactive plots across desktop and web GUI frameworks including Windows Forms, WPF, MAUI, Avalonia, Blazor, and WinUI. It provides an optimized rendering engine capable of displaying millions of data points with interactive pan, zoom, and live data streaming, while also supporting image export to formats like PNG and SVG for file output, cloud applications, and notebooks. The library distinguishes itself through a comprehensive set of chart types including scatter, line, bar, pie, heatmap, financial, rada