JohnYan2017 / SmartCharts
🔥 Data visualization, large screen, supports Echarts, SQL, API, and VUE; applicable to Jupyter. It is easier than pyecharts, with very low entry barriers. Can be used immediately—more convenient than dragging and dropping. Works as a plugin for projects or as an independent platform. Simple, agile, efficient, universal, and highly customizable. Fully integrates front-end and back-end for you. Graphical data linkage, filtering development is effortless. Data caching mechanism gives reports an edge over others
- Repository stars
- 771All-time #47,339
- Fork
- 130
- Last push
- updated 1 months ago
- Repository created
- since 2020
About
🔥数据可视化,大屏, 支持Echarts,SQL,API,VUE,可用于Jupyter, 比pyecharts容易, 极低门槛,拿来即用,比拖拽方便,项目插件或独立平台皆可, 简单, 敏捷, 高效, 通用化, 高度可定制化,为你完全打通前后端, 图形数据联动, 筛选开发毫无压力, 数据缓存处理机制让报表快人一步Summarised by AI from the README; the original prevails
Author description: 🔥 Data visualization, large screen, supports Echarts, SQL, API, and VUE; applicable to Jupyter. It is easier than pyecharts, with very low entry barriers. Can be used immediately—more convenient than dragging and dropping. Works as a plugin for projects or as an independent platform. Simple, agile, efficient, universal, and highly customizable. Fully integrates front-end and back-end for you. Graphical data linkage, filtering development is effortless. Data caching mechanism gives reports an edge over others
Basic listing based on official public information; functionality has not been independently evaluated.
- Pricing
- Pricing not verifiedCheck current official software, hosting, model and infrastructure pricing.