diff --git a/lib/SVG/TimeSeries.py b/lib/SVG/TimeSeries.py
new file mode 100644
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+++ b/lib/SVG/TimeSeries.py
@@ -0,0 +1,181 @@
+#!/usr/bin/env python
+import SVG
+import re
+#requires python date-util from http://labix.org/python-dateutil
+from dateutil.parser import parse
+from dateutil.relativedelta import relativedelta
+from time import mktime
+import datetime
+fromtimestamp = datetime.datetime.fromtimestamp
+
+class Plot( SVG.Plot.Plot ):
+	"""=== For creating SVG plots of scalar temporal data
+		
+		= Synopsis
+		
+		  import SVG.TimeSeries
+		
+		  # Data sets are x,y pairs
+		  data1 = ["6/17/72", 11,    "1/11/72", 7,    "4/13/04 17:31", 11, 
+				  "9/11/01", 9,    "9/1/85", 2,    "9/1/88", 1,    "1/15/95", 13]
+		  data2 = ["8/1/73", 18,    "3/1/77", 15,    "10/1/98", 4, 
+				  "5/1/02", 14,    "3/1/95", 6,    "8/1/91", 12,    "12/1/87", 6, 
+				  "5/1/84", 17,    "10/1/80", 12]
+		
+		  graph = SVG::Graph::TimeSeries.new( {
+			:width => 640,
+			:height => 480,
+			:graph_title => title,
+			:show_graph_title => true,
+			:no_css => true,
+			:key => true,
+			:scale_x_integers => true,
+			:scale_y_integers => true,
+			:min_x_value => 0,
+			:min_y_value => 0,
+			:show_data_labels => true,
+			:show_x_guidelines => true,
+			:show_x_title => true,
+			:x_title => "Time",
+			:show_y_title => true,
+			:y_title => "Ice Cream Cones",
+			:y_title_text_direction => :bt,
+			:stagger_x_labels => true,
+			:x_label_format => "%m/%d/%y",
+		  })
+		  
+		  graph.add_data({
+		   :data => projection
+			 :title => 'Projected',
+		  })
+		
+		  graph.add_data({
+		   :data => actual,
+			 :title => 'Actual',
+		  })
+		  
+		  print graph.burn()
+		
+		= Description
+		
+		Produces a graph of temporal scalar data.
+		
+		= Examples
+		
+		http://www.germane-software/repositories/public/SVG/test/timeseries.rb
+		
+		= Notes
+		
+		The default stylesheet handles upto 10 data sets, if you
+		use more you must create your own stylesheet and add the
+		additional settings for the extra data sets. You will know
+		if you go over 10 data sets as they will have no style and
+		be in black.
+		
+		Unlike the other types of charts, data sets must contain x,y pairs:
+		
+		  [ "12:30", 2 ]          # A data set with 1 point: ("12:30",2)
+		  [ "01:00",2, "14:20",6] # A data set with 2 points: ("01:00",2) and 
+								  #                           ("14:20",6)  
+		
+		Note that multiple data sets within the same chart can differ in length, 
+		and that the data in the datasets needn't be in order; they will be ordered
+		by the plot along the X-axis.
+		
+		The dates must be parseable by ParseDate, but otherwise can be
+		any order of magnitude (seconds within the hour, or years)
+		
+		= See also
+		
+		* SVG::Graph::Graph
+		* SVG::Graph::BarHorizontal
+		* SVG::Graph::Bar
+		* SVG::Graph::Line
+		* SVG::Graph::Pie
+		* SVG::Graph::Plot
+		
+		== Author
+		
+		Sean E. Russell <serATgermaneHYPHENsoftwareDOTcom>
+		
+		Copyright 2004 Sean E. Russell
+		This software is available under the Ruby license[LICENSE.txt]
+"""
+	popup_format = x_label_format = '%Y-%m-%d %H:%M:%S'
+	__doc_popup_format_ = "The formatting usped for the popups.  See x_label_format"
+	__doc_x_label_format_ = "The format string used to format the X axis labels.  See strftime."
+	
+	timescale_divisions = None
+	__doc_timescale_divisions_ = """Use this to set the spacing between dates on the axis.  The value
+		must be of the form 
+		"\d+ ?(days|weeks|months|years|hours|minutes|seconds)?"
+
+		EG:
+
+		graph.timescale_divisions = "2 weeks"
+
+		will cause the chart to try to divide the X axis up into segments of
+		two week periods."""
+	
+	def add_data( self, data ):
+		"""Add data to the plot.
+			d1 = [ "12:30", 2 ]          # A data set with 1 point: ("12:30",2)
+			d2 = [ "01:00",2, "14:20",6] # A data set with 2 points: ("01:00",2) and 
+										 #                           ("14:20",6)  
+			graph.add_data( 
+			  :data => d1,
+			  :title => 'One'
+			)
+			graph.add_data(
+			  :data => d2,
+			  :title => 'Two'
+			)
+			
+			Note that the data must be in time,value pairs, and that the date format
+			may be any date that is parseable by ParseDate."""
+		super( Plot, self ).add_data( data )
+		
+	def process_data( self, data ):
+		super( Plot, self ).process_data( data )
+		# the date should be in the first element, so parse it out
+		data['data'][0] = map( self.parse_date, data['data'][0] )
+
+	_min_x_value = SVG.Plot.Plot.min_x_value	
+	def get_min_x_value( self ):
+		return self._min_x_value
+	def set_min_x_value( self, date ):
+		self._min_x_value = self.parse_date( date )
+	min_x_value = property( get_min_x_value, set_min_x_value )
+	
+	def format( self, x, y ):
+		return fromtimestamp( x ).strftime( self.popup_format )
+	
+	def get_x_labels( self ):
+		return map( lambda t: fromtimestamp( t ).strftime( self.x_label_format ), self.get_x_values() )
+
+	def get_x_values( self ):
+		result = self.get_x_timescale_division_values()
+		if result: return result
+		return tuple( SVG.Plot.float_range( *self.x_range() ) )
+			
+	def get_x_timescale_division_values( self ):
+		if not self.timescale_divisions: return
+		min, max, scale_division = self.x_range()
+		m = re.match( '(?P<amount>\d+) ?(?P<division_units>days|weeks|months|years|hours|minutes|seconds)?', self.timescale_divisions )
+		# copy amount and division_units into the local namespace
+		division_units = m.groupdict()['division_units'] or 'days'
+		amount = int( m.groupdict()['amount'] )
+		if not amount: return
+		delta = relativedelta( **{ division_units: amount } )
+		result = tuple( self.get_time_range( min, max, delta ) )
+		return result
+	
+	def get_time_range( self, start, stop, delta ):
+		start, stop = map( fromtimestamp, (start, stop ) )
+		current = start
+		while current <= stop:
+			yield mktime( current.timetuple() )
+			current += delta
+			
+	def parse_date( self, date_string ):
+		return mktime( parse( date_string ).timetuple() )
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