scottplot/scottplot

Interactive plotting library for .NET

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Summary Information

Updated 44 minutes ago
Added to GitGenius on September 9th, 2026
Created on January 4th, 2018
Open Issues & Pull Requests: 242 (+0)
GitHub issues: Enabled
Number of forks: 1,011
Total Stargazers: 6,742 (+0)
Total Subscribers: 98 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.1 days
Mean response time: 28.1 days
90th percentile: 88.3 days
Tracked items: 797

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 93% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. 80% of tracked open issues have had no activity in three months, so the open count overstates what is actively being worked. Only 8% of issues opened in the past year have been closed. Three people close 83% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 240
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 390 days
Stale 30+ days: 235
Stale 90+ days: 217

Recent activity

Opened in 7 days: 1
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • ⚠️ HIGH PRIORITY (78)
  • BUG (3)

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Detailed Description

ScottPlot is a plotting library for .NET that makes it easy to interactively display large datasets in graphical applications.

The library solves the problem of creating charts and plots in .NET environments by providing a straightforward API that requires only a few lines of code to generate common visualization types including line plots, bar charts, pie graphs, and scatter plots. It handles the rendering and interaction logic internally, allowing developers to focus on data rather than graphics implementation details.

ScottPlot is well-suited for developers building desktop or web applications in .NET who need charting capabilities without heavyweight dependencies. The tool supports a broad range of platforms and frameworks including Windows Forms, WPF, Blazor, Avalonia, Uno Platform, Eto, console applications, and Jupyter notebooks, making it flexible for different project types. The Cookbook and Demo resources provide practical examples for common plotting scenarios and demonstrate how to implement interactive behaviors in GUI environments.

The project maintains an active Discord community and issue tracker for user engagement. Code contributions are currently restricted to non-anonymous submissions due to the maintainer's circumstances, though the project remains open source under a permissive license. Development activity centers on addressing issues and incorporating community feedback through established channels rather than accepting pull requests from the general public.