diff --git a/poky/scripts/lib/build_perf/html/measurement_chart.html b/poky/scripts/lib/build_perf/html/measurement_chart.html
index 65f1a22..9acb378 100644
--- a/poky/scripts/lib/build_perf/html/measurement_chart.html
+++ b/poky/scripts/lib/build_perf/html/measurement_chart.html
@@ -1,50 +1,76 @@
-<script type="text/javascript">
-  chartsDrawing += 1;
-  google.charts.setOnLoadCallback(drawChart_{{ chart_elem_id }});
-  function drawChart_{{ chart_elem_id }}() {
-    var data = new google.visualization.DataTable();
+<script type="module">
+  // Get raw data
+  const rawData = [
+    {% for sample in measurement.samples %}
+      [{{ sample.commit_num }}, {{ sample.mean.gv_value() }}, {{ sample.start_time }}],
+    {% endfor %}
+  ];
 
-    // Chart options
-    var options = {
-      theme : 'material',
-      legend: 'none',
-      hAxis: { format: '', title: 'Commit number',
-               minValue: {{ chart_opts.haxis.min }},
-               maxValue: {{ chart_opts.haxis.max }} },
-      {% if measurement.type == 'time' %}
-      vAxis: { format: 'h:mm:ss' },
-      {% else %}
-      vAxis: { format: '' },
-      {% endif %}
-      pointSize: 5,
-      chartArea: { left: 80, right: 15 },
-    };
+  const convertToMinute = (time) => {
+    return time[0]*60 + time[1] + time[2]/60 + time[3]/3600;
+  }
 
-    // Define data columns
-    data.addColumn('number', 'Commit');
-    data.addColumn('{{ measurement.value_type.gv_data_type }}',
-                   '{{ measurement.value_type.quantity }}');
-    // Add data rows
-    data.addRows([
-      {% for sample in measurement.samples %}
-        [{{ sample.commit_num }}, {{ sample.mean.gv_value() }}],
-      {% endfor %}
-    ]);
+  // Convert raw data to the format: [time, value]
+  const data = rawData.map(([commit, value, time]) => {
+    return [
+      // The Date object takes values in milliseconds rather than seconds. So to use a Unix timestamp we have to multiply it by 1000.
+      new Date(time * 1000).getTime(),
+      // Assuming the array values are duration in the format [hours, minutes, seconds, milliseconds]
+      Array.isArray(value) ? convertToMinute(value) : value
+    ]
+  });
 
-    // Finally, draw the chart
-    chart_div = document.getElementById('{{ chart_elem_id }}');
-    var chart = new google.visualization.LineChart(chart_div);
-    google.visualization.events.addListener(chart, 'ready', function () {
-      //chart_div = document.getElementById('{{ chart_elem_id }}');
-      //chart_div.innerHTML = '<img src="' + chart.getImageURI() + '">';
-      png_div = document.getElementById('{{ chart_elem_id }}_png');
-      png_div.outerHTML = '<a id="{{ chart_elem_id }}_png" href="' + chart.getImageURI() + '">PNG</a>';
-      console.log("CHART READY: {{ chart_elem_id }}");
-      chartsDrawing -= 1;
-      if (chartsDrawing == 0)
-        console.log("ALL CHARTS READY");
-    });
-    chart.draw(data, options);
-}
+  // Set chart options
+  const option = {
+    tooltip: {
+      trigger: 'axis',
+      valueFormatter: (value) => {
+        const hours = Math.floor(value/60)
+        const minutes = Math.floor(value % 60)
+        const seconds = Math.floor((value * 60) % 60)
+        return hours + ':' + minutes + ':' + seconds
+      }
+    },
+    xAxis: {
+      type: 'time',
+    },
+    yAxis: {
+      name: '{{ measurement.value_type.quantity }}' == 'time' ? 'Duration in minutes' : 'Disk size in MB',
+      type: 'value',
+      min: function(value) {
+        return Math.round(value.min - 0.5);
+      },
+      max: function(value) {
+        return Math.round(value.max + 0.5);
+      }
+    },
+    dataZoom: [
+      {
+        type: 'slider',
+        xAxisIndex: 0,
+        filterMode: 'none'
+      },
+    ],
+    series: [
+      {
+        name: '{{ measurement.value_type.quantity }}',
+        type: 'line',
+        smooth: true,
+        symbol: 'none',
+        data: data
+      }
+    ]
+  };
+
+  // Draw chart
+  const chart_div = document.getElementById('{{ chart_elem_id }}');
+  const measurement_chart= echarts.init(chart_div, null, {
+    height: 320
+  });
+  // Change chart size with browser resize
+  window.addEventListener('resize', function() {
+    measurement_chart.resize();
+  });
+  measurement_chart.setOption(option);
 </script>
 
diff --git a/poky/scripts/lib/build_perf/html/report.html b/poky/scripts/lib/build_perf/html/report.html
index d1ba6f2..4cd2407 100644
--- a/poky/scripts/lib/build_perf/html/report.html
+++ b/poky/scripts/lib/build_perf/html/report.html
@@ -3,11 +3,7 @@
 <head>
 {# Scripts, for visualization#}
 <!--START-OF-SCRIPTS-->
-<script type="text/javascript" src="https://www.gstatic.com/charts/loader.js"></script>
-<script type="text/javascript">
-google.charts.load('current', {'packages':['corechart']});
-var chartsDrawing = 0;
-</script>
+<script src=" https://cdn.jsdelivr.net/npm/echarts@5.5.0/dist/echarts.min.js "></script>
 
 {# Render measurement result charts #}
 {% for test in test_data %}
@@ -28,23 +24,15 @@
   text-align: left;
   border-collapse: collapse;
 }
-.meta-table tr:nth-child(even){background-color: #f2f2f2}
-meta-table th, .meta-table td {
-  padding: 4px;
-}
 .summary {
-  margin: 0;
   font-size: 14px;
   text-align: left;
   border-collapse: collapse;
 }
-summary th, .meta-table td {
-  padding: 4px;
-}
 .measurement {
   padding: 8px 0px 8px 8px;
   border: 2px solid #f0f0f0;
-  margin-bottom: 10px;
+  margin: 1.5rem 0;
 }
 .details {
   margin: 0;
@@ -64,18 +52,58 @@
   background-color: #f0f0f0;
   margin-left: 10px;
 }
-hr {
-  color: #f0f0f0;
+.card-container {
+  border-bottom-width: 1px;
+  padding: 1.25rem 3rem;
+  box-shadow: 0 1px 3px 0 rgb(0 0 0 / 0.1), 0 1px 2px -1px rgb(0 0 0 / 0.1);
+  border-radius: 0.25rem;
+}
+body {
+  font-family: 'Helvetica', sans-serif;
+  margin: 3rem 8rem;
+}
+h1 {
+  text-align: center;
 }
 h2 {
-  font-size: 20px;
+  font-size: 1.5rem;
   margin-bottom: 0px;
   color: #707070;
+  padding-top: 1.5rem;
 }
 h3 {
-  font-size: 16px;
+  font-size: 1.3rem;
   margin: 0px;
   color: #707070;
+  padding: 1.5rem 0;
+}
+h4 {
+  font-size: 14px;
+  font-weight: lighter;
+  line-height: 1.2rem;
+  margin: auto;
+  padding-top: 1rem;
+}
+table {
+  margin-top: 1.5rem;
+  line-height: 2rem;
+}
+tr {
+  border-bottom: 1px solid #e5e7eb;
+}
+tr:first-child {
+  border-bottom: 1px solid #9ca3af;
+}
+tr:last-child {
+  border-bottom: none;
+}
+a {
+  text-decoration: none;
+  font-weight: bold;
+  color: #0000EE;
+}
+a:hover {
+  color: #8080ff;
 }
 </style>
 
@@ -83,13 +111,14 @@
 </head>
 
 {% macro poky_link(commit) -%}
-    <a href="http://git.yoctoproject.org/cgit/cgit.cgi/poky/log/?id={{ commit }}">{{ commit[0:11] }}</a>
+  <a href="http://git.yoctoproject.org/cgit/cgit.cgi/poky/log/?id={{ commit }}">{{ commit[0:11] }}</a>
 {%- endmacro %}
 
-<body><div style="width: 700px">
+<body><div>
+  <h1 style="text-align: center;">Performance Test Report</h1>
   {# Test metadata #}
   <h2>General</h2>
-  <hr>
+  <h4>The table provides an overview of the comparison between two selected commits from the same branch.</h4>
   <table class="meta-table" style="width: 100%">
     <tr>
       <th></th>
@@ -112,19 +141,21 @@
 
   {# Test result summary #}
   <h2>Test result summary</h2>
-  <hr>
+  <h4>The test summary presents a thorough breakdown of each test conducted on the branch, including details such as build time and disk space consumption. Additionally, it gives insights into the average time taken for test execution, along with absolute and relative values for a better understanding.</h4>
   <table class="summary" style="width: 100%">
+    <tr>
+      <th>Test name</th>
+      <th>Measurement description</th>
+      <th>Mean value</th>
+      <th>Absolute difference</th>
+      <th>Relative difference</th>
+    </tr>
     {% for test in test_data %}
-      {% if loop.index is even %}
-        {% set row_style = 'style="background-color: #f2f2f2"' %}
-      {% else %}
-        {% set row_style = 'style="background-color: #ffffff"' %}
-      {% endif %}
       {% if test.status == 'SUCCESS' %}
         {% for measurement in test.measurements %}
           <tr {{ row_style }}>
             {% if loop.index == 1 %}
-              <td>{{ test.name }}: {{ test.description }}</td>
+              <td><a href=#{{test.name}}>{{ test.name }}: {{ test.description }}</a></td>
             {% else %}
               {# add empty cell in place of the test name#}
               <td></td>
@@ -153,10 +184,12 @@
   </table>
 
   {# Detailed test results #}
+  <h2>Test details</h2>
+  <h4>The following section provides details of each test, accompanied by charts representing build time and disk usage over time or by commit number.</h4>
   {% for test in test_data %}
-  <h2>{{ test.name }}: {{ test.description }}</h2>
-  <hr>
+  <h3 style="color: #000;" id={{test.name}}>{{ test.name }}: {{ test.description }}</h3>
     {% if test.status == 'SUCCESS' %}
+    <div class="card-container">
       {% for measurement in test.measurements %}
         <div class="measurement">
           <h3>{{ measurement.description }}</h3>
@@ -275,7 +308,8 @@
             {% endif %}
           {% endif %}
         </div>
-      {% endfor %}
+        {% endfor %}
+      </div>
     {# Unsuccessful test #}
     {% else %}
       <span style="font-size: 150%; font-weight: bold; color: red;">{{ test.status }}
diff --git a/poky/scripts/lib/build_perf/report.py b/poky/scripts/lib/build_perf/report.py
index ab77424..82c5683 100644
--- a/poky/scripts/lib/build_perf/report.py
+++ b/poky/scripts/lib/build_perf/report.py
@@ -294,7 +294,7 @@
             return "null"
         return self / 1024
 
-def measurement_stats(meas, prefix=''):
+def measurement_stats(meas, prefix='', time=0):
     """Get statistics of a measurement"""
     if not meas:
         return {prefix + 'sample_cnt': 0,
@@ -319,6 +319,7 @@
     stats['quantity'] = val_cls.quantity
     stats[prefix + 'sample_cnt'] = len(values)
 
+    start_time = time # Add start time for both type sysres and disk usage
     mean_val = val_cls(mean(values))
     min_val = val_cls(min(values))
     max_val = val_cls(max(values))
@@ -334,6 +335,7 @@
     stats[prefix + 'max'] = max_val
     stats[prefix + 'minus'] = val_cls(mean_val - min_val)
     stats[prefix + 'plus'] = val_cls(max_val - mean_val)
+    stats[prefix + 'start_time'] = start_time
 
     return stats