3 个仓库
Awesome GitHub RepositoriesServerless Plot Generators
Plotting capabilities that generate chart images in serverless or cloud environments without a GUI.
Distinct from Plotting Scripts: Distinct from Plotting Scripts: focuses on headless plot generation for cloud/serverless deployment, not script-based scientific charting.
Explore 3 awesome GitHub repositories matching scientific & mathematical computing · Serverless Plot Generators. Refine with filters or upvote what's useful.
Awesome Serverless Plot Generators 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
Generates plot images in serverless or cloud environments by saving output to files without a GUI.
C#chartchartingcharts - stdlib-js/stdlib
stdlib-js/stdlib
5,735在 GitHub 上查看Includes a plot viewer that opens plots in specified viewers without modifying configuration.
JavaScriptjavascriptjslibrary - posit-dev/positron
posit-dev/positron
3,969在 GitHub 上查看Positron is a data science integrated development environment and AI-powered code editor designed for polyglot development, specifically supporting Python and R. It functions as a remote compute workspace that separates the user interface from the execution kernel via SSH or container integration. The environment features a deep integration of large language models that provide context-aware suggestions and automated data analysis by accessing real-time interpreter state, in-memory objects, and plot outputs. It distinguishes itself through a polyglot runtime bridge that enables cross-language
Automatically configures backends to direct matplotlib output to a specific dedicated plot viewer.
TypeScript
