diff --git a/chaco/api.py b/chaco/api.py
index 4ed38f99e..4e0093772 100644
--- a/chaco/api.py
+++ b/chaco/api.py
@@ -110,6 +110,7 @@
 - :class:`~.SegmentPlot`
 - :class:`~.TextPlot`
 - :class:`~.PolarLineRenderer`
+- :class:`~.ScalyPlot`
 
 Plot Factories
 --------------
@@ -355,6 +356,7 @@
 from .segment_plot import SegmentPlot
 from .text_plot import TextPlot
 from .polar_line_renderer import PolarLineRenderer
+from .scaly_plot import ScalyPlot
 
 # Plot factories
 from .plot_factory import (
diff --git a/chaco/scaly_plot.py b/chaco/scaly_plot.py
new file mode 100644
index 000000000..7192af204
--- /dev/null
+++ b/chaco/scaly_plot.py
@@ -0,0 +1,151 @@
+""" A Plot which uses ScaleSystems for its ticks.
+"""
+
+from traits.api import Any
+
+from chaco.axis import PlotAxis
+from chaco.data_range_2d import DataRange2D
+from chaco.grid import PlotGrid
+from chaco.linear_mapper import LinearMapper
+from chaco.log_mapper import LogMapper
+from chaco.plot import Plot
+from chaco.scales.scales import DefaultScale, LogScale, ScaleSystem
+from chaco.scales_tick_generator import ScalesTickGenerator
+
+
+def add_default_axes(plot, orientation="normal", vtitle="", htitle=""):
+    """
+    Creates left and bottom axes for a plot.  Assumes that the index is
+    horizontal and value is vertical by default; set orientation to
+    something other than "normal" if they are flipped.
+    """
+    if orientation in ("normal", "h"):
+        v_mapper = plot.value_mapper
+        h_mapper = plot.index_mapper
+    else:
+        v_mapper = plot.index_mapper
+        h_mapper = plot.value_mapper
+
+    yticks = ScalesTickGenerator()
+    left = PlotAxis(
+        orientation="left",
+        title=vtitle,
+        mapper=v_mapper,
+        component=plot,
+        tick_generator=yticks,
+    )
+
+    xticks = ScalesTickGenerator()
+    bottom = PlotAxis(
+        orientation="bottom",
+        title=htitle,
+        mapper=h_mapper,
+        component=plot,
+        tick_generator=xticks,
+    )
+
+    plot.underlays.append(left)
+    plot.underlays.append(bottom)
+    return left, bottom
+
+
+class ScalyPlot(Plot):
+    x_axis = Any()
+    y_axis = Any()
+    x_ticks = Any()
+    y_ticks = Any()
+    linear_scale_factory = Any()
+    log_scale_factory = Any()
+
+    def _linear_scale_default(self):
+        return self._make_scale("linear")
+
+    def _log_scale_default(self):
+        return self._make_scale("log")
+
+    def _make_scale(self, scale_type="linear"):
+        """ Returns a new linear or log scale """
+        if scale_type == "linear":
+            if self.linear_scale_factory is not None:
+                return self.linear_scale_factory()
+            else:
+                return ScaleSystem(DefaultScale())
+        else:
+            if self.log_scale_factory is not None:
+                return self.log_scale_factory()
+            else:
+                return ScaleSystem(LogScale())
+
+    def _init_components(self):
+        # Since this is called after the HasTraits constructor, we have to make
+        # sure that we don't blow away any components that the caller may have
+        # already set.
+
+        if self.range2d is None:
+            self.range2d = DataRange2D()
+
+        if self.index_mapper is None:
+            if self.index_scale == "linear":
+                imap = LinearMapper(range=self.range2d.x_range)
+            else:
+                imap = LogMapper(range=self.range2d.x_range)
+            self.index_mapper = imap
+
+        if self.value_mapper is None:
+            if self.value_scale == "linear":
+                vmap = LinearMapper(range=self.range2d.y_range)
+            else:
+                vmap = LogMapper(range=self.range2d.y_range)
+            self.value_mapper = vmap
+
+        if self.x_ticks is None:
+            self.x_ticks = ScalesTickGenerator(
+                scale=self._make_scale(self.index_scale)
+            )
+        if self.y_ticks is None:
+            self.y_ticks = ScalesTickGenerator(
+                scale=self._make_scale(self.value_scale)
+            )
+
+        if self.x_grid is None:
+            self.x_grid = PlotGrid(
+                mapper=self.x_mapper,
+                orientation="vertical",
+                line_color="lightgray",
+                line_style="dot",
+                component=self,
+                tick_generator=self.x_ticks,
+            )
+        if self.y_grid is None:
+            self.y_grid = PlotGrid(
+                mapper=self.y_mapper,
+                orientation="horizontal",
+                line_color="lightgray",
+                line_style="dot",
+                component=self,
+                tick_generator=self.y_ticks,
+            )
+        if self.x_axis is None:
+            self.x_axis = PlotAxis(
+                mapper=self.x_mapper,
+                orientation="bottom",
+                component=self,
+                tick_generator=self.x_ticks,
+            )
+        if self.y_axis is None:
+            self.y_axis = PlotAxis(
+                mapper=self.y_mapper,
+                orientation="left",
+                component=self,
+                tick_generator=self.y_ticks,
+            )
+
+    def _index_scale_changed(self, old, new):
+        Plot._index_scale_changed(self, old, new)
+        # Now adjust the ScaleSystems.
+        self.x_ticks.scale = self._make_scale(self.index_scale)
+
+    def _value_scale_changed(self, old, new):
+        Plot._value_scale_changed(self, old, new)
+        # Now adjust the ScaleSystems.
+        self.y_ticks.scale = self._make_scale(self.value_scale)