# OxyPlot

> Cross-platform plotting library for .NET.

- Category: [C# & .NET charting libraries](https://awesomedataviz.com/categories/dotnet/)
- Website: https://oxyplot.github.io/
- Repository: https://github.com/oxyplot/oxyplot
- License: MIT
- Language: C#
- Status: Active (commits in the last 90 days)
- GitHub stars: 3,541
- Commits in the last 12 months: 1
- Contributors: 125
- Last commit: Jul 14, 2026
- Latest release: v2.2.0 (Sep 20, 2024)
- Install (NuGet): `dotnet add package OxyPlot.Core`, 10M downloads in total

## Overview

OxyPlot is an open-source .NET charting library released under the MIT license. Its GitHub repository has 3,541 stars, 978 forks, and 125 contributors. It is actively developed with 1 commit in the last 12 months. The latest release, v2.2.0, was published on Sep 20, 2024. It has been downloaded about 10M times from NuGet.

## Alternatives

- [ScottPlot](https://awesomedataviz.com/tools/scottplot/): Interactive plotting library for .NET with WinForms, WPF, Avalonia, Blazor and other controls. (6.8K stars)
- [LiveCharts2](https://awesomedataviz.com/tools/livecharts2/): Animated, interactive charts, maps and gauges for .NET UI frameworks. (5.5K stars)
- [Microcharts](https://awesomedataviz.com/tools/microcharts/): Simple cross-platform charts for .NET, drawn with SkiaSharp. (2.1K stars)
- [Mapsui](https://awesomedataviz.com/tools/mapsui/): .NET map component for MAUI, Avalonia, Uno Platform, Blazor, WPF and WinUI. (1.6K stars)
- [MSAGL](https://awesomedataviz.com/tools/msagl/): Microsoft Automatic Graph Layout: tools for graph layout and viewing in .NET. (1.5K stars)

## Comparisons

- [OxyPlot vs ScottPlot](https://awesomedataviz.com/compare/oxyplot-vs-scottplot/)
- [LiveCharts2 vs OxyPlot](https://awesomedataviz.com/compare/livecharts2-vs-oxyplot/)
- [Microcharts vs OxyPlot](https://awesomedataviz.com/compare/microcharts-vs-oxyplot/)
- [Mapsui vs OxyPlot](https://awesomedataviz.com/compare/mapsui-vs-oxyplot/)

Source: https://awesomedataviz.com/tools/oxyplot/ · Data updated 2026-10-04 · Content: CC BY 4.0, Awesome Dataviz (https://awesomedataviz.com).