diff --git a/wally/charts.py b/wally/charts.py
new file mode 100644
index 0000000..a168f9d
--- /dev/null
+++ b/wally/charts.py
@@ -0,0 +1,145 @@
+import os
+import sys
+import hashlib
+
+from GChartWrapper import Line
+from GChartWrapper import constants
+from GChartWrapper import VerticalBarGroup
+
+from config import cfg_dict
+
+
+# Patch MARKER constant
+constants.MARKERS += 'E'
+sys.modules['GChartWrapper.GChart'].MARKERS += 'E'
+
+
+COLORS = ["1569C7", "81D8D0", "307D7E", "5CB3FF", "0040FF", "81DAF5"]
+constants.MARKERS += 'E'  # append E marker to available markers
+
+
+def get_top_top_dir(path):
+    top_top_dir = os.path.dirname(os.path.dirname(path))
+    return path[len(top_top_dir) + 1:]
+
+
+def render_vertical_bar(title, legend, bars_data, bars_dev_top,
+                        bars_dev_bottom, file_name,
+                        width=700, height=400,
+                        scale_x=None, scale_y=None, label_x=None,
+                        label_y=None, lines=()):
+    """
+    Renders vertical bar group chart
+
+    :param legend - list of legend values.
+        Example: ['bar1', 'bar2', 'bar3']
+    :param dataset - list of values for each type (value, deviation)
+        Example:
+            [
+                [(10,1), (11, 2), (10,1)], # bar1 values
+                [(30,(29,33)),(35,(33,36)), (30,(29,33))], # bar2 values
+                [(20,(19,21)),(20,(13, 24)), (20,(19,21))] # bar 3 values
+            ]
+    :param width - width of chart
+    :param height - height of chart
+    :param scale_x - x ace scale
+    :param scale_y - y ace scale
+
+    :returns url to chart
+
+    dataset example:
+    {
+        'relese_1': {
+            'randr': (1, 0.1),
+            'randwr': (2, 0.2)
+        }
+        'release_2': {
+            'randr': (3, 0.3),
+            'randwr': (4, 0.4)
+        }
+    }
+    """
+
+    bar = VerticalBarGroup([], encoding='text')
+    bar.title(title)
+
+    dataset = bars_data + bars_dev_top + bars_dev_bottom + \
+        [l[0] for l in lines]
+
+    bar.dataset(dataset, series=len(bars_data))
+    bar.axes.type('xyy')
+    bar.axes.label(2, None, label_x)
+
+    if scale_x:
+        bar.axes.label(0, *scale_x)
+
+    max_value = (max([max(l) for l in dataset[:2]]))
+    bar.axes.range(1, 0, max_value)
+    bar.axes.style(1, 'N*s*')
+    bar.axes.style(2, '000000', '13')
+
+    bar.scale(*[0, max_value] * 3)
+
+    bar.bar('r', '.1', '1')
+    for i in range(1):
+        bar.marker('E', '000000', '%s:%s' % ((len(bars_data) + i*2), i),
+                   '', '1:10')
+    bar.color(*COLORS)
+    bar.size(width, height)
+
+    axes_type = "xyy"
+
+    scale = [0, max_value] * len(bars_dev_top + bars_dev_bottom + bars_data)
+    if lines:
+        line_n = 0
+        for data, label, axe, leg in lines:
+            bar.marker('D', COLORS[len(bars_data) + line_n],
+                       (len(bars_data + bars_dev_top + bars_dev_bottom))
+                       + line_n, 0, 3)
+            # max_val_l = max(data)
+            if axe:
+                max_val_l = max(data)
+                bar.axes.type(axes_type + axe)
+                bar.axes.range(len(axes_type), 0, max_val_l)
+                bar.axes.style(len(axes_type), 'N*s*')
+                bar.axes.label(len(axes_type) + 1, None, label)
+                bar.axes.style(len(axes_type) + 1, '000000', '13')
+                axes_type += axe
+                line_n += 1
+                scale += [0, max_val_l]
+            else:
+                scale += [0, max_value]
+            legend.append(leg)
+            # scale += [0, max_val_l]
+
+    bar.legend(*legend)
+    bar.scale(*scale)
+    img_name = file_name + ".png"
+    img_path = os.path.join(cfg_dict['charts_img_path'], img_name)
+
+    if not os.path.exists(img_path):
+        bar.save(img_path)
+
+    return get_top_top_dir(img_path)
+
+
+def render_lines(title, legend, dataset, scale_x, width=700, height=400):
+    line = Line([], encoding="text")
+    line.title(title)
+    line.dataset(dataset)
+
+    line.axes('xy')
+    max_value = (max([max(l) for l in dataset]))
+    line.axes.range(1, 0, max_value)
+    line.scale(0, max_value)
+    line.axes.label(0, *scale_x)
+    line.legend(*legend)
+    line.color(*COLORS[:len(legend)])
+    line.size(width, height)
+
+    img_name = hashlib.md5(str(line)).hexdigest() + ".png"
+    img_path = os.path.join(cfg_dict['charts_img_path'], img_name)
+    if not os.path.exists(img_path):
+        line.save(img_path)
+
+    return get_top_top_dir(img_path)