📈 A small, fast chart for time series, lines, areas, ohlc & bars
- Updated Feb 26, 2026
- JavaScript
Build software better, together
📈 A small, fast chart for time series, lines, areas, ohlc & bars
Interactive plotting library for .NET
Immediate Mode Plotting
The Time Series Visualization Tool that you deserve.
A concise grammar of interactive graphics, built on Vega.
Simple, flexible, interactive & powerful charts, maps and gauges for .Net, LiveCharts2 can now practically run everywhere Maui, Uno Platform, Blazor-wasm, WPF, WinForms, Xamarin, Avalonia, WinUI, UWP.
A rust drawing library for high quality data plotting for both WASM and native, statically and realtimely 🦀 📈🚀
Go package to make lightweight ASCII line graph ╭┈╯ in command line apps with no other dependencies.
🍡 An interactive and responsive charting library based on G2.
Easy to use and highly customizable charts library for iOS
📈📊📱💻🖥️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. 极其精美而又强大的现代化声明式数据可视化图表框架,支持柱状图、条形…
An intuitive library to add plotting functionality to scikit-learn objects.
A Wes Anderson color palette for R
Nice-looking lightweight console ASCII line charts ╭┈╯ for NodeJS, browsers and terminal, no dependencies
VChart, more than just a cross-platform charting library, but also an expressive data storyteller.
Multiplatform plotting library based on the Grammar of Graphics
开放式的缠论python实现框架,支持形态学/动力学买卖点分析计算,多级别K线联立,区间套策略,可视化绘图,多种数据接入,策略开发,交易系统对接;
A small library for automatical adjustment of text position in matplotlib plots to minimize overlaps.
Data transceiver(monitor)/realtime plotter/shortcut/file transceiver over serial port/Bluetooth/network on Windows/Linux/Android/macOS | 跨平台串口/蓝牙/网络调试助手,带数据收发/实时绘图/快捷发送/文件收发面板,可在PC和Android设备上使用
An awesome iTerm2 backend for Matplotlib, so you can plot directly in your terminal.