几种web数据渲染模板对比

在web开发，实现视图、数据的分离，由前端工程师专门负责编写html页面，有php后台工程师写php接口返回json数字，那么中间如何将json数据绑定到html页面上有几种方法呢。基于这种需求大体上尝试了几种方法：

1）用jQuery加载json数据，操作DOM：

<!DOCTYPE html>

<html>

<head lang="en">

    <meta charset="UTF-8">

    <title>1、测试传统的数据绑定</title>

    <!--引入jquery.js-->

    <script type="text/javascript" src="jquery.js"></script>

    <script type="text/javascript">

        $(document).ready(function(){

            alert("点击之后，修改p1");

            document.getElementById("p1").innerHTML="修改了p1：javascript的DOM操作";

            $("#btn").click(function(){

                showMessage("信息提示：正在请求网络");

                getJSON2();

            });

        });

        function showMessage(msg){

            alert(msg)

        }

        function getJSON2() {

            //jQuery.post()方法

            $.post("http://192.168.1.122/yne_siteM/index.php/Home/Interface/mess2","username=188888",

                    function(data,status) {

                        alert("status="+status);

                        try{

                            /*测试解析json

                            var jsontext = '{"firstname":"Jesper","surname":"Aaberg","phone":["555-0100","555-0120"]}';

                            var data0 = JSON.parse(jsontext);

                            alert(data0.surname);*/

                            //如果取到的已经是json对象，再JSON.parse就可能出错

                           // var data = JSON.parse(json);

                        }catch (e){

                            alert(e.message);

                        }

                        document.getElementById("p1").innerHTML=data.status;  //Y

                        var dataArray = data.data;   //data包含的json数组

                        var contents;

                        for(var i=0 ; i<dataArray.length ; i++) {

                            var jsonObject = dataArray[i];      //这里可以直接取数组下索引

                            var id = jsonObject.id;

                            var title = jsonObject.title;

                            var content = jsonObject.content;

                            contents = "<li>"+title+" "+title+" "+content+"</li>";

                            $("#ol").append(contents);

                        }

                    },

                    "json"

            );

        }

    </script>

</head>

<body>

<h2>This is a heading</h2>

<p id="p1">This is a paragraph.</p>

<p id="p2">This is another paragraph.3333</p>

<div id="newDiv">

    <ol id="ol">

    </ol>

</div>

<button type="button" id="btn">Click me</button>

</body>

</html>

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" 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3+QMWz9GC9ZsmG4LgtP+ulvL0oEjHmlfTD3gBZ9z+E9ath+mEHL/YN6MdmWlvN3Jvl2eIc0g+xRmJbYB4CZ2N//ZBXRkQkB2oMkVc/M/WkvcMfq3jqzUAUXT+mPYG6DT64SP2wFqqMTDvj9xnU/Qzv48BZ+pHyue7sl6G8TQ9lxcqaUaTvf8TdBNidc/z+YHRvlDYA5rjGeNS9tlv4YxVvWFzWtq/0kp1jN13cSHo1iRLOKoPvWMfFmsjf6jM9cVA/Ok+DqmBNSs4/hKSruulCiXfNsrVlDRi08mv3I2sLUJpd9SNy22MhtAFgOre5h+wd/ljFGzR/mDL/SPRAOetXS0aSqsglM0b31q6OpB9CXufXD7vly+uAfVuPJW66TvzJ2SUl5h9woeynHwnrVjPBDeSxj1k9Zu/wxyqeG2PjqpnlGk5aTQ942Bz96BpbpKYAQf2w3ue9eP0wl6jmwivlMsYFUQWxzWJXLjYNgFLs+vvnYr8NTEqMNQ/fgS6R1yt7hz9W8cz7XeNs0ob1Y9yjTh7+JuvHIh3CitSGfnjXTQfcTKukylynlH7EzafFRD0FmV4L8Ipn1luat1hlMGKPmjX/1DfAWdhHP+SF2nUDWNcP64bfE71VjV3DH6t4c4ymcQyse8n5OVkeOVhn726Ufkx+3t3usFbk4vTDK6N14eb1w5t6LMi2sotnvk8wzF94CcSxpqosZMHZufjvJzad+OqM2Iv3Dn/xxRudtHtT9ZLuDVH2pRWt0G0hXGBBcL3vZy6U2XfPnn4IOPlboUp6XSX7rbIEx1WL7KS8QIaUwHm4VP2Ye0vs6HDv8IconjIK3W2XuCjq/MPxyqoDHtLnH2fHW5FaiifvsVtBAC6NS9UPAAC4bNAPAADIAf0AAIAc0A8AAMgB/QAAgByuQz+0k9O8t1IEzJsE5oLbwqXrx8aJuemTDd67n+Oh6nI9dnmH1MxNfrFSeltWeYO2b+u0AmpfqIg5xyeCeZ0IJ5kXcw3DcEJrLM3WcdusFC+hYpfDjvphvrefbXTt1NTy8Qf/uhRFOaGmMbY6MyH3mF3TLeeDA+fZAtcWCznf9pCZP1LRt0Lf7JrpZ4XSrYx5y5kXcyWZa5NoAwW/GKGWI97+ZgqrkdT4l3/UqiC76Yfxsz9xnw3Skgl+j8o4Yrae4p0upo/45iYhHFGTeuxSCvMEsdCUZMdiZCl+oSKi2nYCOSNczBuotp3AVn0x13Bqa/Sz3UxhLVuCHriV8XvBVpXVcpWf8lw2Z1m/OkFANhycj/XL4XqTEYuohPMak9KAlBPUbmgnuTmWGcwKoi0TDJ5h5e4fAvMWMy/mOrk1BiugB9K/3iYhNPlI/YjJAf3YgZSWFPGZH/sBTS29a6qmW5ZwzYtRpasqt4QJ45mpUGKPjR/bGCM2I4g6Eur91YrB68NiJph3N/NiLv+qbq7wbaMC6iKgW6Dt5i09AfQjmzPoR9rsY+sBuPeNcdXSOpYwc48NJDrGC2bpNSZlDCb12Nb3GXozXIq55Oh03cU5dP4PStgZaA0d8w7nMC/msjJQckjRD7fKsn5EJq3V1IqOfkSwo34sY4FiKyrC/bXDGuvM9npuFeySEeu0Uo+1l5zXtiysGJhbQUYwqWyzK5hzFFyDVX+vRW8OcTHvnubFXGmtcbOiGfoxuZ26baN3YNCPbM6xfmUOxmICRzs4dTadWLiIHmstDRiF6IxfbPDXGIxA0hanWoVAxfQeO2Zf122Mh4u5j3mTzIu5klvjZkXj9cNb95sumNY01DxxPbDp3PopoB97kDCbjF+gnx7nVoSNbPUeayVspzJm7a75aiO+we6CUo/drrUR2++xQl/BvOc1L+bKaI1BTli/WmzRzb+vGTQ+849sznR+sIs+UpS6QB8esm0/zpwVg6WLSP1YyXsd+3h97rQRX5XUVzGvetVPNd28mKuEcngVkARN1g/XFEZMvVToRzYXN/9Ixu5ywV6zHV3Ea0xTo3SHbRt5r4vjRXusV/iyTRjzhkJI8TGXGiKJxPlH5716YOmZtROlZmReQj8i2Ek/evNbCPbMOqwlxjaf9P6g8AzP22OXziqsAUTmLffYrjGibvfYcRdUatHBVo553Rzl2JnmxVxJ5gq7ghh3rZatawzhqNcVWcG8ks3Rj0j2m3+Yc07T6qFG47oy48GbM1L9CWmZhksZ0WObzmt+fTu9mGiu+273WDtU39ZV3TS1P3KSKzmPqca7UosO2AfzGlfLm9cDc4XNtYd+uLMxVx1WYVn/HTnlQj98Lun7ic5D0zyc9GzthjwMg9F5/edpL6cG10U3wswhmvn9DBuhKS393Cy4VB2xGSrLvTZKYTGvYgn9Rop53UJgrlhzKYipSZjrV1N2pk03hkNRNVsupm9OXTcXpB+edBsPwx5FdOtBrLhud55Hqo74nJ7gLA0IRd+jGWJe63L5MmOuspy0frVN8Emk6Ydl0Wy9PCQXpB8AAHAg0A8AAMgB/QAAgBzQDwAAyAH9AACAHNCPVMS3MCLOfcHFwaNMAnOBy4H0I3zayAyU2Z43zv704+ervfcixwO45XrR8jagmZv87qB2ViPxTNbZDz3xKA/1KDHXwVFO3hfgDPrhnvgM4B0Z8k4n7ex09PNJwmmmWv5SqXJ6S8M6/SRWuumGoe87vw1IfSL81nxSL9LsoT0gLyc1JI+yOs6jxFxJ5krCbONbR1kmw6bn2zXV+FWBHaRyd/3omqquYx2B4zL086GxKSQRGozYx6/GDNQDeNEFdbuFfKTXNsiat9Se5c6uJBdTcQX/a3VS/XiUx3+UmMuLsod6zElLqjix3NIkWnoOzofuSs9BdtaPrqnqtot2BJ7LSD6uu6PTEZ5XI45TogbWSjhvENLJv+GmnC52Qy/JBb9m4VYuXAH5IxdiKB7l8R8l5nKKX2oUL0zC9SZv1Tp29iVcU4yaza76MT3beEcgOh1TPm17G01jvi4Ne9UnHjFNtaNO1u+aqun6+RPD5sWoClaVa474Of9cKLEX+V7T6kVNZ/7P7kWRnSJ+LZJHeTWPcgqNuWLNFbM8a3YH97oQNVk/9NWwom887KgfS43y9cN6EPZT6e1F0b5tOzeFzUe+1Xrc+8ZYZ0l4CWN8NSrs5IJZeo+99390eg7n9qLW78fWMzi1F20t0HqBeZRX8SgHzJVmrk39CK7m2rH9gdH4tf6AfowJ1AFhbppSn2HbTT8Mk+fqh/MYzH+qT2hJwXFKIolOZ+1Extqv4wWD3SRC+aVeZA/C11VgYRa/ls2JfcP6waMcjvsoMVeq3G6ltdWcvRbv9yZNP8QaSRHKzEP2+/0op33F64eptN5Nqf16gZpOmx3apDidEk0oshdZ03WjEGOl2r73whl9185j+VdiL4pYDvKzDlSER3ncR4m5kswVYQk7lmJf02t6M/SMH+oqtmRlsYt+OIKRN//w5niG09FTjBgLrcQvmk8PYCtCxJqnbAcrYb95jVNW16bSKGyw22OwF3VeT6yqKvCksucfPMq1Rkd7lJgryVzJjF2h6UKJd834o16VUaVQ+bX7kbVNYRf9UIu/VeTYRQ99gXFKIWbJI33RPDyM2p4L58zil9Yg9S0l73WMs1zXepGQV3n94FEal473KOdyYK7i2K2/E19E6Nt6LPE4F1/r4qV0LfMPh7z5xzA4A1fT1qrXWVPY3HLNwO4GwZa8HV3Ea6nT+MzyxLXyFsrg/ftS9INHORz3Ufr1xVxF8ByjsJZrF38Uk4iC2GaxKxebRgzn1w99wCkpjbH67Wm13bj8l3a2/I6x9WatNJpezo583l60dCBhXh6Zt9iLmsmVKyO+ffSDR3nYR+nXF3NtVmU7vJiopyDTawFe8cx6S/MWqwxG7LFXjVtJBbh0/ZjmsHXb+xGn6W1lznGdFMQZ8HrLjGUMh80HozcDc+U2amwcsxNstHZxC8kYh0T0Iq/VWRfOrB88Srtah3mUHpgrTIR+CN1jQraVXTzzfYJh/sJLIM7yV7CWORzo+4lFcVqE5nWkhjP7OmfZ1b3m3trobWs4LcwcYmkINkJ79Rup14sEnPytUPssop4Gj/JcjxJzlUHJfqss0tx9YZGdiDdJClbqluqHN2oxvIs91+7Ww1FxXWGXfTYPdRTmtE21GQ7po7DLhEc57PsoMdf58VakluLJe+xWkHNyS/UDAABOBP0AAIAc0A8AAMgB/QAAgBzQDwAAyAH9AACAHNAPAADIAf0AAIAc0A8AAMgB/QAAgBzQDwAAyAH9AACAHNAPAADIAf0AAIAc0A8AAMgB/QAAgBzQDwAAyAH9AACAHNAPAADIQdWPR7/603OvvPn0y68d+r/nXnnz0a/+dE6DAgDcEmT9+Mk7/bPf/+W93zz56kf/OfR/937z5Nnv//In7/RnNisAwNUj68fX2zfuvffk2598/veD8+1PPr/33pOvt2+c2awAAFePrB9Pv/zaV//4n5t2/mX46h//8/TLr53ZrAAAV09IP55cBegHAMAehPTjb1cB+gEAsAeqfnzl8b//L4f/+a/q7n9/cHqYYnzl8b/RDwCA4oT047NN3vvu3WrlWz/97LPPfvqt6u533zP/8AncKg/6AQCwB6p+3Hv8+V/DPHpQVdWDR8a/7z789V8fPajuPvz1ZszNMMW49/hz9AMAoDi6fvzh87+EePfh3eruw3e9648eTJeXP8a/Zx48Mm69+/Bu5aXy6EF19+HDKcbdh+8usY2Aa4IPHgWL+Ze/3PsD+gEAUB5VP778u399EuCtl56qnnrpLf/Gj56fri9/vPXSU1X1/I+maM+/9NZ8awnhpTCHf+ulp6y/17+miOtFlS//7l/oBwBAcU7RD9Fxe/ohKM2Pnq+eev75p0T9+cSSFelvK+ttAUE/AAD2QNWPL334zz7Amy/eqe68+KZ/49XnpuvzH68+V1XPveqGqapKjm+koPw9xV5xUnf40of/RD8AAIoT0o+PQ7zx4p3qzotveNdfvT9dnv9448U71f1XhTDCDTsF5e9X71diPAX0AwBgD1T9+OKH//gozA/vV1V1/4fGv++88PpHP7xf3Xnh9fH2+MfrL9xZwr3+wn0jzOsv3JnCOOkuF8W/rWhjigG++OE/0A8AgOLo+vHbfzze5GffuWOsI33jB48fP/7BN6o73/mZ+cf4txlovfWz79yp1mBLYDOi9veME9vji79FPwAAyqPqx7Mf/P1/r4JnP/g7+gEAUJyQfvz+KkA/AAD2QNWPZ95/8rur4Jn3n6AfAADFUX8/6pm3P/3m+3/+7cH55vt/fubtT/n9KACA4qi/X/v0K7/4wjuffuH9vx37v3c+ffqVX/D7tQAAxZH1YxiGH7/98de+9/OnX37t0P997Xs///HbH5/ToAAAtwRVPwAAAAKgHwAAkAP6AQAAOaAfAACQA/oBAAA5oB8AAJAD+gEAADmgHwAAkMP/Aynh/9nTxmqEAAAAAElFTkSuQmCC" alt="" />

2）用jsRender/jsView操作DOM，绑定数据：

<!DOCTYPE html>

<html>

<head lang="en">

    <meta charset="UTF-8">

    <title>2、测试jsView的数据绑定</title>

</head>

<body>

<h2>This is a heading</h2>

<p id="p1">This is a paragraph.</p>

<p id="p2">This is another paragraph.3333</p>

<div id="newDiv">

</div>

<div id="newDiv2">

</div>

<button type="button" id="btn">Click me</button>

<!--官方demo-->

<script id="theTmpl" type="text/x-jsrender">

        <b>{{:title}}</b>

        <ul>

          {{for members}}

              <li >{{:name}} lives in <b>{{:address.city}}</b></li>

          {{/for}}

        </ul>

</script>

<script>

    var data = {

        "title": "The A team",

        "members": [

            {

                "name": "Pete",

                "address": {

                    "city": "Seattle"

                }

            },

            {

                "name": "Heidi",

                "address": {

                    "city": "Sidney"

                }

            }

        ]

    };

    var template = $.templates("#theTmpl");

    var htmlOutput = template.render(data);

    $("#newDiv").html(htmlOutput);

</script>

<script id="theTmpl2" type="text/x-jsrender">

    <b>status={{:status}}</b>

    <b>msg={{:msg}}}</b>

    <ul id="ul1">

        {{for data}}

        <a href="/id={{:id}}">

        <li id="{{:id}}">id={{:id}} title={{:title}} content={{:content}}</li>

        </a>

        {{/for}}

    </ul>

    <ul id="ul2">

        {{for data}}

        <li class="xx.css" id="{{:id}}">id={{:id}} title={{:title}} content={{:content}}</li>

        {{/for}}

    </ul>

</script>

<!--引入jquery.js-->

<script type="text/javascript" src="jquery.js"></script>

<script type="text/javascript" src="jsviews.js"></script>

<script type="text/javascript">

    var dataArray;

    $(document).ready(function(){

        alert("点击之后，修改p1");

        document.getElementById("p1").innerHTML="修改了p1：javascript的DOM操作";

        $("#btn").click(function(){

            showMessage("信息提示：正在请求网络");

            getJSON2();

        });

    });

    function showMessage(msg){

        alert(msg)

    }

    function getJSON2() {

        //jQuery.post()方法

        $.post("http://192.168.1.122/yne_siteM/index.php/Home/Interface/mess2","username=1888888",

                function(data,status) {

                    alert("status="+status);

                    //绑定UI

                    var template = $.templates("#theTmpl2");

                    var htmlOutput = template.render(data);

                    $("#newDiv2").html(htmlOutput);

                    //监听UI

                    //选取id=ul2 的ul组件下的所有li

                    $("ul#ul2 li").click(function() {

                        alert("id="+$(this).attr("id"));

                    });

                    //监听所有id以a开头的li

//                        $("li[id^='a']").click(function() {

//                            alert("id="+$(this).attr("id"));

//                        })

                },

                "json"

        );

    }

</script>

</body>

</html>

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" alt="" />

3）用angularJS绑定数据：

<!DOCTYPE html>

<html>

<head>

    <meta charset="utf-8">

    <script src="angular.js"></script>

    <script src="jquery.js"></script>

</head>

<body>

<body>

<div ng-app="app1">

    <div id="A1">

        <input ng-model="name" type="text" placeholder="请输入姓名">

        <p>我的姓名： {{name}}</p>

    </div>

    <div id="A2">

        <input ng-model="age" type="number" placeholder="请输入年龄">

        <p>我的年龄: {{age}}</p>

    </div>

    <div id="A3" ng-init="names=['Jani','Hege','Kai']">

        <p>使用 ng-repeat 来循环数组</p>

        <ul>

            <li ng-repeat="x in names">

                {{ x }}

            </li>

        </ul>

    </div>

    <div id="A4" ng-init="names=[

{name:'Jani',country:'Norway'},

{name:'Hege',country:'Sweden'},

{name:'Kai',country:'Denmark'}]">

        <p>循环对象：</p>

        <ul>

            <li ng-repeat="x in names">

                {{ x.name + ', ' + x.country }}

            </li>

        </ul>

    </div>

    <div id="A5" ng-controller="myCtrl1">

        名字: <input ng-model="name">

        <h1>你输入了: {{name}}</h1>

    </div>

    <!--get方法-->

    <div id="A6" ng-controller="myCtrl2">

        <p>ssss {{msg}}</p>

        <ul>

            <li ng-repeat="x in data">id={{x.id}},picurl={{x.picurl}}</li>

        </ul>

    </div>

    <!--post方法-->

    <div id="A7" ng-controller="myCtrl3">

        <p>ssss {{msg}}</p>

        <ul>

            <li ng-repeat="x in data">id={{x.id}},picurl={{x.picurl}}</li>

        </ul>

    </div>

</div>

<!--尽量一个html里面只声明一个ng-app-->

<div id="div2" ng-app="app2" ng-init="points=[1,15,19,2,40]">

    <p>第三个值为 {{ points[2] }}</p>

    <button type="button" id="btn">Click me</button>

</div>

<script> <!--这里不能引入jQuery,会冲突-->

    var app1 = angular.module("app1",[]);

    var app2 = angular.module("app2",[]);

    angular.bootstrap(document.getElementById("div2"),['app2']);

    app1.controller("myCtrl1",function($scope){

        $scope.name = "Joker";

    });

    //get方法

    app1.controller('myCtrl2', function($scope, $http) {

        $http.get("http://192.168.1.122/yne_siteM/index.php/Home/Interface/GetBanner")

            .success(function(response) {

                    $scope.status = response.status;

                    $scope.msg = response.msg;

                    $scope.data = response.data;

                });

    });

//    $.get("http://192.168.1.122/yne_siteM/index.php/Home/Interface/GetBanner")

//            .success(function(){

////                app1.controller("myCtrl2",function($scope){

////                    $scope.msg = "jQuery Get";

////                });

//                alert("ok");

//            });

</script>

</body>

</body>

</html>

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" alt="" />

4）用vue.js绑定数据：

<!DOCTYPE html>

<html xmlns:v-on="http://www.w3.org/1999/xhtml">

<head lang="en">

    <meta charset="UTF-8">

    <title>测试vue.js</title>

</head>

<body>

    <div id="app">

        {{message}}

    </div>

    <!--双向绑定-->

    <div id="app2">

        <p>{{message}}</p>

        <input v-model="message">

    </div>

    <!--渲染列表-->

    <div id="app3">

        <ul>

            <li v-for="todo in todos">

                {{ todo.text }}

            </li>

        </ul>

    </div>

    <!--处理用户输入-->

    <div id="app4">

        <p>{{ message }}</p>

        <button v-on:click="reverseMessage">Reverse Message</button>

    </div>

    <div id="app5">

        <input v-model="newTodo" v-on:keyup.enter="addTodo">

        <ul>

            <li v-for="todo in todos">

                <span>{{ todo.text }}</span>

                <button v-on:click="removeTodo($index)">X</button>

            </li>

        </ul>

    </div>

    <div id="app6">

        <ul>

            <li v-for="todo in todos">

                {{ todo.id }}  {{ todo.title }}

            </li>

        </ul>

    </div>

<!--引入vue.js框架-->

<script type="text/javascript" src="vue.js"></script>

<!--引入jQuery框架-->

<script type="text/javascript" src="jquery.js"></script>

<script>

    new Vue({

        el:"#app",

        data:{

            message: 'Hello Vue.js!'

        }

    });

    new Vue({

        el:"#app2",

        data:{

            message: 'Hello Vue.js!'

        }

    });

    new Vue({

        el:"#app3",

        data:{

            todos:[

                {

                    text: 'Learn JavaScript',

                    title:"111"

                },

                {

                    text: 'Learn Vue.js',

                    title:"222"

                },

                {

                    text: 'Build Something Awesome',

                    title:"333"

                }

            ]

        }

    });

    new Vue({

        el:"#app4",

        data:{

            message: 'Hello Vue.js'

        },

        methods:{

            reverseMessage: function(){

                this.message = this.message.split('').reverse().join('')

            }

        }

    });

    new Vue({

        el:'#app5',

        data:{

            newTodo:'',

            todos:[

                { text:'Add some todos'}

            ]

        },

        methods:{

            addTodo:function() {

                var text = this.newTodo.trim();

                if(text) {

                    this.todos.push({text:text});

                    this.newTodo = ''

                }

            },

            removeTodo: function (index) {

                this.todos.splice(index,1)

            }

        }

    });

     //使用jQuery的post方法获取数据

    $(document).ready(

            function getJSON(){

        $.post('http://192.168.1.122/yne_siteM/index.php/Home/Interface/mess2','username=',function(data,status){

            var todos = data.data;

            //绑定数据

            new Vue({

                el: "#app6",

                data: {

                    todos: todos

                }

            });

        },'json');

    }

    );

</script>

</body>

</html>

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" alt="" />

总结一下几种方法的体验:

方法一，jQuery直接操作DOM，会使原来HTML内容不完整，并且数据绑定之后用到大量的字符拼接，在可读性和可维护性上较差；

方法二，一定程度上改善了HTML的可读性，但是也是将一整块html标签抽离了放到<script id="theTmpl2" type="text/x-jsrender"></script>里面，也不够直观。

方法三，angularJS扩展了html，在兼容原来html的基础上通过模型绑定、控制器回调等方法，可以实现不破坏原来html内容的基础上实现数据绑定。但是，测试demo过程中，觉得写起来不够自然和有一定复杂性，而且框架比较大，和jQuery混用的效果也不好，会有一定冲突，在移动端性能可能不太好。

方法四，vue.js一定程度上融合了angularJS的一些优点，如不破坏html结果的前提绑定数据，更加轻量，可以同时用在移动端上，个人觉得比较合适快速开发使用。

具体项目demo已上传至github:

https://github.com/chq3272991/testJS.git

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