{"id":13532158,"url":"https://github.com/JohnYan2017/SmartCharts","last_synced_at":"2025-04-01T20:31:32.985Z","repository":{"id":36979963,"uuid":"316876895","full_name":"JohnYan2017/SmartCharts","owner":"JohnYan2017","description":"🔥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, 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\\|\n[Community](https://www.smartchart.cn/) \\|\n[Sponsors](https://www.smartchart.cn/) \\|\n[GitHub](https://github.com/JohnYan2017/Echarts-Django) \\|\n[Gitee](https://gitee.com/smartchart/smartchart)\n\n\u003cp align=\"center\"\u003e\n\t\u003ca href=\"https://www.smartchart.cn\"\u003e\u003cimg src=\"https://www.smartchart.cn/media/editor/WechatIMG51_20210117224243671223.png\" width=\"45%\"\u003e\u003c/a\u003e\n\u003c/p\u003e\n\u003cp align=\"center\"\u003e\n\t\u003cstrong\u003eA platform that Connect Data to Echarts.\u003c/strong\u003e\n\u003c/p\u003e\n\u003cp align=\"center\"\u003e\n\t\u003ca href=\"https://www.smartchart.cn\"\u003ehttps://www.smartchart.cn\u003c/a\u003e\n\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n    \u003cimg src=\"https://img.shields.io/badge/Release-V5.0-green.svg\" alt=\"Downloads\"\u003e\n\t\u003ca target=\"_blank\" href=\"https://www.python.org/downloads/release/python-390/\"\u003e\n\t\t\u003cimg src=\"https://img.shields.io/badge/Python-3.6+-green.svg\" /\u003e\n\t\u003c/a\u003e\n\t\u003ca href='https://gitee.com/smartchart/smartchart/members'\u003e\u003cimg src='https://gitee.com/smartchart/smartchart/badge/fork.svg?theme=dark' alt='fork'\u003e\u003c/a\u003e\n\t\u003ca href='https://gitee.com/smartchart/smartchart/stargazers'\u003e\u003cimg src='https://gitee.com/smartchart/smartchart/badge/star.svg?theme=dark' alt='star'\u003e\u003c/a\u003e\n\t\u003ca target=\"_blank\" href='https://github.com/JohnYan2017/Echarts-Django'\u003e\n\t\t\u003cimg src=\"https://img.shields.io/github/stars/JohnYan2017/Echarts-Django.svg?style=social\" alt=\"github star\"/\u003e\n\t\u003c/a\u003e\n\u003c/p\u003e\n\u003cp align=\"center\"\u003e\n\t\u003ca href=\"https://qm.qq.com/cgi-bin/qm/qr?k=eC34KwVvEtMvfh8Zyn1RSfYlzZvuvm7i\u0026jump_from=webapi\"\u003e\u003cimg src=\"https://img.shields.io/badge/QQ群-476715246-orange\"/\u003e\u003c/a\u003e\n   \u003ca target=\"_blank\" href=\"https://www.smartchart.cn\"\u003e\n   \u003cimg src=\"https://img.shields.io/badge/Author-John%20Yan-ff69b4.svg\" alt=\"Downloads\"\u003e\n \u003c/a\u003e\n \u003ca target=\"_blank\" href=\"https://www.smartchart.cn\"\u003e\n   \u003cimg src=\"https://img.shields.io/badge/Copyright%20-@smartchart.cn-%23ff3f59.svg\" alt=\"Downloads\"\u003e\n \u003c/a\u003e\n\u003c/p\u003e\n\n-------------------------------------------------------------------------------\n\n\n\n### Introduction\n\n- Smartchart is a microcode development platform for data visualization, large screen, mobile report and web applications\n\n- Simple, agile, efficient, universal and highly customizable, so that your project can be upgraded instantly\n\n- Fully open up the front and back ends, support graphic data linkage, filtering and drilling, and support almost all common databases\n\n- The building block development mode supports drag and drop layout, out of the box, simple installation, less dependence, and is suitable for various platforms\n\n- Support Django app plug-in application and jupyter data analysis application\n\n- Memory acceleration technology makes your data one step faster and greatly reduces the pressure on the database\n\n- No repeated learning cost, highly customizable, attention is highly customizable!!\n\n\n\n\n![大数据](https://www.smartchart.cn/media/editor/微信截图_20211202163316_20211202163647765791.png)\n![smartchart](http://smartchart.cn/media/editor/smartvoice_20201224085323156045.png)\n\n### Sample\n- [smartchart big screen sample - smart city big data big screen](https://www.smartchart.cn/echart/?type=智慧城市_大数据大屏 \"大屏样列-智慧城市_大数据大屏\")\n- [smartchart integrated datav](https://www.smartchart.cn/echart/?type=Smartchart_DataV \"集成DATAV\")\n- [smartchart graphics data linkage](https://www.smartchart.cn/echart/?type=评论分析 \"图形数据联动\")\n\n\n\n### Quick start\n\n#### Install Python environment\n\n- Environment preparation: Official [latest Python download link](https://www.python.org/downloads/release/python-390/  \"Latest Python download link\")\n\nIf the download is too slow, you can go to [Taobao mirror image download](https://npm.taobao.org/mirrors/python/3.9.0/ \"Taobao mirror image download\")\n\nYou can also download [windows 64 bit installation version](https://npm.taobao.org/mirrors/python/3.9.0/python-3.9.0-amd64.exe \"Windows 64 bit installation version\")\n\n[Mac computer installation version](http://npm.taobao.org/mirrors/python/3.9.0/python-3.9.0rc2-macosx10.9.pkg \"Mac computer installation version\")\n\n- [window platform installation video introduction](https://www.ixigua.com/6910413586208653837?id=6901867671193649668 \"Window platform installation video introduction\")\n\n**Note: when Windows installs python, you need to select \"add to path\"**\n\n\n\n#### Installing smartchart\n\n```shell script\n\npip3 install smartchart\n\n\n\nIf the installation process is slow, it is recommended to use it\n\npip3 install -i https://pypi.tuna.tsinghua.edu.cn/simple smartchart -U\n\n\n\nUpgrade method:\n\nPIP3 install smartchart - U (upgrade)\n\n```\n\n\n\n[smartchart getting started document entry](https://gitee.com/smartchart/smartchart/wikis/ \"Getting started with smartchart\")\n\n\n\n\n### Application scenario 1:\n\nIf you are not familiar with Django / python, you only need a visual development platform, which can be started quickly and used independently\n\n```shell script\n\nLocal command line startup:\n\nsmartchart\n\nOr smartcharts (automatically open web pages)\n\nIf you are a server deployment, remote access, server startup method:\n\nsmartchart runserver 0.0.0.0:8000 --insecure --noreload\n\n```\n\n**Administrator account password: admin / Admin, please change the password in time**\n\n\n\n[smartchart getting started document entry](https://gitee.com/smartchart/smartchart/wikis/ \"Getting started with smartchart\")\n\n\n\n\n-------------------------------------------------------------------------------\n\n\n\n### Application scenario 2:\n\nIf you are a data analysis enthusiast and are using jupyter, pandas and other analysis tools, you can use them as visualization tools\n\n**It supports Python drawing tools such as pyecarts and Matplotlib to be used in Jupiter, which is more convenient and cool**\n\n**There are only two commands, get and set, which can simplify the data analysis work, solidify the analyzed data and generate a cool dashboard**\n\n[getting started with smartchart in jupyter](https://gitee.com/smartchart/smartchart/wikis/6.Jupyter%E5%BA%94%E7%94%A8/%E5%9C%A8Jupyter%E4%B8%AD%E4%BD%BF%E7%94%A8%E6%8C%87%E5%BC%95 \"Getting started using smartchart in Jupiter\")\n\n\n\n\n-------------------------------------------------------------------------------\n\n### Application scenario 3:\n\nYou can also use smartchart to make reports and embed reports in your application system\n\n[embedded smartchart report getting started document](https://gitee.com/smartchart/smartchart/wikis/7.%E6%8A%A5%E8%A1%A8%E5%B5%8C%E5%85%A5/%E7%AE%80%E5%8D%95%E5%B5%8C%E5%85%A5 \"Embedded smartchart report getting started document\")\n\n\n\n-------------------------------------------------------------------------------\n\n### Application scenario 4:\n\nIf you are a developer of Django application, congratulations. It can be a seamless part of your project\n\nThe functions of data visualization, dashboard and low code API development platform are instantaneous\n\n[getting started with smartchart in Django](https://gitee.com/smartchart/smartchart/wikis/8.Django%E5%BA%94%E7%94%A8/%E5%B5%8C%E5%85%A5Django%)\n-Django novices recommend downloading this project\n```shell script\nPlease download the gitee / GitHub project directly\npip install smartchart\nStartup method: Python manage py runserver\nAccount number: admin / Admin\n```\n------------------------------------------------\n### Database support description\nSmartchart can theoretically support any data source ,Mysql, SQLite, API and Excel data are supported by default. You can use Python connector to extend any data source\n- SQL server requires PIP install pymssql\n- Oracle needs to install PIP install Cx_ Oracle\n- GP, postgrep needs to install PIP install psychopg2\n- PIP install impyla is required for impala\n- DB2 requires PIP install IBM_ db\n- Python requires PIP install pandas, openpyxl\n- ....\n\n\n### Contact us for help\nYou can also join QQ group to discuss common problems\n**QQ group: 476715246 Code: smartchart**\n-------------------------------------------------------------------------------\n#### Change Log\n```shell script\n2020 / 12 / 14 static resource localization\nv3. 9.8.2 support all common databases, Vue and datav\nv3. 9.8.7 support Jupiter, one click sharing and application of dashboard template\nv3. 9.8.9 account binding function online\nv3. 9.8.10 user defined graphics management online\nv3. 9.8.17 support the latest echarts5 0, optimize loading speed\nv3. 9.8.20 user defined graphics management function upgrade\nv3. 9.8.23 echarts upgrades to 5.0.1, which supports multiple queries corresponding to one dataset and resource localization\nv3. 9.9.0 print function optimization, new pivot function, personal static resource path display, DB2 support\nv3. 9.9.1 development interface beautification\nv3. 9.9.5 optimize the development interface, fix regularly refresh the bug, add and delete batch datasets\nv3. 9.9.7 add Python connector, data pool, customize main template and optimize development interface\nv3. 9.9.10 you can write CSS in div settings, add built-in dynamic tables, optimize layout support, and add config files\nv3. 9.9.12 optimize background data processing performance and jupyter experience\nv3. 9.9.16 add template editing function, add embedded report token mode, optimize editing interface and connection pool selection\nv3. 9.9.18 fix Vue bug, add elementui support and optimize datav development experience\nv3. 9.9.24 add editing function in the template development interface, automatically create data set, add data set test function, and upgrade echarts to 5.2\nv3. 9.9.25 add the prompt of unsaved changes, select and execute the dataset, and optimize the repeated submission of the saved template\nv3. 9.9.28 admin adaptation UI, resource file optimization\nv3. 9.9.33 add file upload function, add basesimple template and optimize development menu\nv4. 0\n-Cancel the bootstrap layout, adopt a new 24 grid or 12 grid layout, smaller file references and more convenient functions\n-Add drag and drop layout without losing the free development mode, which can be mixed\n-Add HTML component to distinguish it from dataset component\n-A more user-friendly home page and a new UI experience automatically identify users and developers\n-Optimize the development menu and enhance the user development experience\n-The front-end development interface and background data set synchronization are completed\nv5. 0\n-Newly developed UI experience and optimized drag and drop\n-Remove the bootstrap completely and reduce the installation package\n-All 40 graphic themes are open\n-New custom theme development function and new color palette\n-Add embedded and pop-up window development switch\n-Interface of linkage drilling\n-Graphic editor optimization adds one click Import of common graphics\n-Add template T3 compatible 3.0 Report\n-Add data set development to set graphic linkage\n-Add data set development to set cache and timing\n-Adding data set development can be converted into shared data set with one click\nv5. one\n-Add offline initialization dB and add dataset external service API configuration\n-Optimize static resources and add VIP template function\n-Add one key to scroll tables and pictures, rotate graphics, and add one key to achieve border effect\n-The enhanced experience removes the default loading of map JS, and all unusual JS are changed to dynamic loading\n```\n","funding_links":[],"categories":["Languages"],"sub_categories":["Python"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FJohnYan2017%2FSmartCharts","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FJohnYan2017%2FSmartCharts","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FJohnYan2017%2FSmartCharts/lists"}