🕸️ Web apps in pure Python 🐍
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🕸️ Web apps in pure Python 🐍
Ready-to-run Docker images containing Jupyter applications
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Translated📈📊🚀🚀🚀An elegant modern declarative data visualization chart framework for iOS, iPadOS and macOS. Extremely powerful, supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types. It also supports donut charts, radar charts and mixed charts, among dozens of types of infographic charts, fully meeting work needs.
Android图表库(XCL-Charts is a free charting library for Android platform.),基于Android Canvas来绘制各种图表,使用简便,定制灵活。目前支持3D/非3D/背向式/横向/竖向柱形图(Bar Chart)、3D/非3D饼图(Pie Chart)、堆叠图(Stacked Bar Chart)、面积图(Area Chart)、 折线图(Line Chart)、曲线图(Spline Chart)、环形图(Dount Chart)、南丁格尔玫瑰图(Rose Chart)、仪表盘(Dial Chart)、刻度盘(Gauge Chart)、雷达图(Radar Chart)、漏斗图(Funnel Chart)、圆形图(Circle Chart)、弧线比较图、散点图(Scatter Chart)、气泡图(Bubble Chart)、范围条形图(RangeBar Chart)等图表。其它特性还包括支持图表缩放、手势移动、点击响应、动画效果、多轴显示、图表参考线、混合图表及同数据源不同图表类型切换等。
Windows Events Attack Samples
A charts / plotting library for SwiftUI. Works on macOS, iOS, watchOS, and tvOS and has accessibility features built in.
Algorithm is a library of tools that is used to create intelligent applications.
Render bits of R code for sharing, e.g., on GitHub or StackOverflow.
A standalone embedding of the FOSS drawio / mxgraph package into jupyterlab
Jupyter widget helpers for ROS, the Robot Operating System
Webbased Amateur Radio Logging Software - Log your contacts from everywhere!
Ruby library to perform server-side tracking into the official Google Analytics Measurement Protocol
Jupyter's kernel for Elixir programming language
A chart library for Apple Watch based on PNChart and ios-charts.
C++ backend for the jupyter webrtc widget
A JupyterLab extension to jump to the line in the file of the stack trace, search Google for the error in Stack Overflow, or ask Bing Chat for help.
Better Python Stacktraces with power of AI.
Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.