4 个仓库
Awesome GitHub RepositoriesFunction Plots
Line plots generated from mathematical formulas evaluated over a range of X values.
Distinct from Custom Plotting Integrations: Distinct from Custom Plotting Integrations: plots formulas directly rather than integrating external plotting functions.
Explore 4 awesome GitHub repositories matching data & databases · Function Plots. Refine with filters or upvote what's useful.
Awesome Function Plots GitHub Repositories
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- scottplot/scottplot
ScottPlot/ScottPlot
6,417在 GitHub 上查看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
Plots lines defined by mathematical formulas over a range of X values.
C#chartchartingcharts - epezent/implot
epezent/implot
5,923在 GitHub 上查看Creates persistent query ranges on a plot to extract and process specific data sub-regions.
C++guiimguiimplot - alandefreitas/matplotplusplus
alandefreitas/matplotplusplus
4,894在 GitHub 上查看这个 C++ 数据可视化库是一个科学绘图框架，用于创建 2D 和 3D 图表、网络图和地理地图。它作为一个多后端图形库运行，将高级绘图逻辑与低级渲染引擎解耦，以支持各种输出后端。 该项目以其双接口 API 脱颖而出，既提供用于快速原型的全局函数接口，也提供用于精确控制的面向对象接口。它具有一个用于管理平铺网格和子图的基于组件的布局引擎，以及一个允许在不清除坐标轴的情况下叠加多个数据系列的层级绘图状态。 该库涵盖了广泛的可视化功能，包括数学函数绘图、向量场，以及通过热力图和平行坐标进行的多维数据分析。它包括用于地理数据可视化的专用工具（如地理气泡图和地理密度图），以及用于渲染有向和无向图网络的工具。通用功能包括坐标轴管理、带有色图的美学样式，以及高质量图形的导出。 该项目利用 CMake 进行构建自动化和依赖检索，以促进在不同操作系统上的安装。
Visualizes functions defined by implicit equations without requiring an explicit solution for variables.
C++charting-librarychartscontour-plots - visualize-ml/book2_beauty-of-data-visualization
Visualize-ML/Book2_Beauty-of-Data-Visualization
3,603在 GitHub 上查看This project is a mathematical visualization library and a collection of algorithmic art. It serves as a data visualization guide and an interactive visualizer, providing a set of implementations for rendering complex geometric shapes and mathematical concepts through code. The collection focuses on generating aesthetic patterns and precise graphic elements, including fractals, Bezier curves, and Lissajous patterns. It uses recursive functions and iterative algorithms to produce complex geometric structures and algorithmic art. The library covers a range of capabilities including interactive
Renders curves by plotting mathematical formulas evaluated over a range of independent parameters.
Jupyter Notebook
