当前位置:网站首页>Powerful chart component library scottplot
Powerful chart component library scottplot
2022-07-19 02:04:00 【issta】
ScottPlot (https://github.com/ScottPlot/ScottPlot) It's a .NET Chart components , It mainly has the following characteristics :
Wide range of application : Apply to both WinForms, WPF, Avalonia, Console, Support .NET Framework 4.6.1 And above , NET Core 2.0 to .NET 5.
Easy to get started : You can create a line chart with just a few lines of code 、 Bar chart 、 The pie chart 、 Scatter plot, etc. .
Strong performance : Ten million level data processing, no pressure , comparable Python Matplotlib.
Interactive : Support users to interact with chart data , Infuse the soul .
Free open source : be based on MIT Open source licenses , Has been open source for nearly 5 year , There are no copyright and charging issues
Rich components : The chart components are very comprehensive , It can meet the display needs in various scenarios .
ScottPlot 4.1.27

download NuGet package :
边栏推荐
- PCA主成分分析(降维)过程推导
- Fairness in Deep Learning: A Computational Perspective
- A causal linear model to quantify edge unfairness for unfair edge prioritization
- AURIX Development Studio安装
- Switch details
- Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination
- 动手学深度学习---从全连接层到卷积层篇
- 01基于RFID的智能仓储管理系统设计
- 【文献阅读】Multi-state MRAM cells for hardware neuromorphic computing
- SAE j1708/j1587 protocol details
猜你喜欢

04 design of indoor wireless positioning system based on ZigBee

二階邊緣檢測 - Laplacian of Guassian 高斯拉普拉斯算子

IEEE754标准浮点数格式

ROC 曲线讲解 (Receiver Operarating Curve)

Fair Multiple Decision Making Through Soft Interventions

动手学深度学习--线性神经网络篇

ResNet
![[literature reading] multi state MRAM cells for hardware neural computing](/img/55/141cb88dff35d5d0e7af1f860b78df.png)
[literature reading] multi state MRAM cells for hardware neural computing

动手学深度学习--多层感知机篇(MLP)

【文献阅读】Counting Integer Points in Parametric Polytopes Using Barvinok‘s Rational Functions
随机推荐
Problems encountered in yolov3 training its own data set
[literature reading] small footprint keyword spotting with multi scale temporary revolution
[literature reading] vaqf: full automatic software hardware co design framework for low bit vision transformer
Leveraging Semi-Supervised Learning for Fairness using Neural Networks
指針常量與常量指針愛恨情仇
Handling Conditional Discrimination(可解释歧视和确切的歧视)
windwos 下载安装OpenSSH
ViLT Vision-and-Language Transformer Without Convolution or Region Supervision
The following packages have unmet dependencies: deepin. com. wechat:i386 : Depends: deepin-wine:i386
JS practical tips
工厂方法模式随记
使用异或交换两个变量是低效的
Integrated learning
Original code, inverse code, complement code
Mxnet network model (V) conditional Gan neural network
01基于RFID的智能仓储管理系统设计
Saber Pspice simulink电源仿真软件的区别
The following packages have unmet dependencies: deepin.com.wechat:i386 : Depends: deepin-wine:i386
【萌新解题】三数之和
VIM 配置文件