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README
Apache-2.0

Wiki | Community | Sponsors | GitHub | Gitee

A platform that Connect Data to Echarts.

https://www.smartchart.cn

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English Documentation


简介

  • SmartChart基于Echarts/Django的微代码开发平台,适用于任何WEB项目
  • 简单, 敏捷, 高效,通用化, 高度可定制化, 让你的项目瞬间档次提升, 比拖拽开发更方便
  • 完全真正打通前后端, 支持图形数据联动,筛选,钻取, 支持几乎常见的所有数据库
  • 积木式的开发模式, 开箱即用, 安装简单, 依赖少, 适应各种平台
  • 高度可定制化, 注意是高度可定制化!!

舆情分析 smartchart

样列

快速开始

安装Python环境

安装SmartChart

   pip3 install smartchart
   
   如果安装过程慢,建意使用
   pip3 install -i https://pypi.tuna.tsinghua.edu.cn/simple smartchart -U

   升级方法:
   pip3 install smartchart -U (升级)

SmartChart入门文档入口

应用场景一: 快速启动, 独立平台使用(推荐!)

   本地命令行启动: 
   smartchart
   如果你是服务器部署,远程访问,服务端启动方式: 
   smartchart runserver 0.0.0.0:8000 --insecure

管理员帐号密码: admin/admin, 请及时更改密码

SmartChart入门文档入口


应用场景二: 在python,Jupyter中作为数据分析使用

支持像pyecharts,Matplotlib等python绘图工具一样在Jupyter中使用, 更加方便, 更加炫酷 仅仅只有两个命令,get and set, 简化数据分析工作


应用场景三: 外部系统对接方式

使用方法参考文档


应用场景四: 在django项目中当作apps使用

django新手不建意使用此方法

  • django新手推荐下载此项目使用
请直接下载gitee/github的项目后
pip install smartchart
启动方式 python manage.py runserver
帐号: admin/amdin
  • 如果你动手能力强, 对django熟悉的, 可以参考Wiki中的说明进行自行加入

数据库支持说明

  • 原生支持的有mysql,sqlite,API,EXCEL数据, 你可以使用python连接器扩展任意数据源
  • SQL Server 需安装 pip install pymssql
  • ORACLE 需安装 pip install cx_Oracle
  • GP,Postgrep 需安装 pip install psycopg2
  • Impala 需安装 pip install impyla
  • DB2 需安装 pip install ibm_db
  • Python 需安装 pip install pandas, openpyxl
  • ....

联系我们与帮助

安装及使用问题,可加以下微信号

smartchart

你也可以加入QQ群进行普通问题讨论

QQ群: 476715246 暗号: smartchart


开发指引与声明:

此项目为前端代码开源(需保留作者信息)

对应的项目目录说明:

templates/echart  -- 编辑器界面
templates/index   -- 首页Portal
static/echart     -- 扩展前端数据处理函数(图形编辑中可用)
static/editor     -- 编辑器界面js
static/index      -- Portal对应js, css
static/custom     -- 你可以在此新建人个文件夹存放自定义css, js, image ..

声明

本项目后端个人可免费使用, 未经授权不可商用. 开发不易, 为了项目能长期维护下去, 禁止反编译、分发等行为.

Change Log

2020/12/14  静态资源本地化
v3.9.8.2    支持所有常见数据库,支持VUE,DATAV
v3.9.8.7    支持Jupyter,支持一键分享和应用dashboard模板
v3.9.8.9    帐号绑定功能上线
v3.9.8.10   用户自定义图形管理上线
v3.9.8.17   支持最新的Echarts5.0, 优化加载速度
v3.9.8.20   用户自定义图形管理功能升级
v3.9.8.23   Echarts升级5.0.1, 支持一个数据集对应多查询, 资源本地化
v3.9.9.0    print函数优化,新增数据透视函数,个人静态资源路径显示, db2支持
v3.9.9.1    开发界面美化
v3.9.9.5    开发界面优化,fix定时刷新BUG,新增批量数据集删除
v3.9.9.7    增加python连接器,数据池,自定义主模板,优化开发界面
v3.9.9.10   DIV设定中可以写css,新增内置动态表格,优化布局支持,增加config文件
v3.9.9.12   优化后台数据处理性能,Jupyter使用体验
v3.9.9.16   新增模板编辑功能,增加嵌入报表TOKEN方式,优化编辑界面,优化连接池选择
v3.9.9.18   修复vue bug, 增加elementUI支持, 优化DataV开发体验
v3.9.9.24   模板开发界面增加编辑功能,自动建立数据集,新增数据集测试功能,Echarts升级到5.2
v3.9.9.25   增加变更未保存提示,数据集选择执行,优化保存模板重复提交的问题
v3.9.9.28   Admin适配UI, 资源文件优化

更多使用说明:

SmartChart designed for you / SmartChart是为你而生的一个产品,

你只需要使用通用开发技术就可以使用, 因为她的通用性, 所以让你的知识不会因为改变而淘汰 因为她的灵活性, 你可以充分发挥你的智慧让她变得非常的Smart 抛弃繁琐的操作, 加速你的开发效率, 和BI产品相比, 如同Linux与Window的区别

  • 开始使用smart chart, 您不需要任何专业知识, 无需coding, 选择模块组装即可!

  • 但如果要使用好smart chart, 建意了解下javascript, H5, Echarts这些前端知识, 可以让你的应用更加得心应手,创作更炫的效果

  • 如果你需要更进一步订制你的数据, 你需要了解下SQL的使用,本项目高级应用语言都是通用的技能, 象js, h5,sql 学习成本低

  • SmartChart入门文档入口

参考视屏,建意观看,有些可能有些久,可进入后关注作者头条号, 查看最新视屏, 请对比最新文档

产品迭代较快, 请关注作者头条号, 查看最新视屏!!!

Jupyter相关

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简介

🔥完整前后端数据可视化,大屏,可使用原生Echarts,SQL,API,vue,Jupyter,DataV 极低门槛,拿来即用,比拖拽方便, 简单, 敏捷, 高效, 通用化, 高度可定制化,为你完全打通前后端, 轻松实现图形数据联动, 数据处理机制让报表快人一步 展开 收起
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