diff --git a/__init__.py b/__init__.py
new file mode 100644
index 0000000..a92f6f7
--- /dev/null
+++ b/__init__.py
@@ -0,0 +1,148 @@
+import numbers
+import os
+import time
+
+
+class continues_statistic(dict):
+    KEY_SINGLE_VALUE = '_'
+    KEY_MEAN_VALUE = 'mean_val'
+    KEY_MIN_VALUE = 'min_val'
+    KEY_MAX_VALUE = 'max_val'
+    KEY_NUM_VALUES = 'num_val'
+    """
+    Value can be a single single numeric value: continues_statistic(num) or multivalue statistic: continues_statistic(val_a=continues_statistic(num_a), val_b=continues_statistic(num_b)). 
+    """
+    def __init__(self, *args, **kwargs):
+        if len(args) == 1 and isinstance(args[0], numbers.Number):
+            dict.__init__(self)
+            self[self.KEY_SINGLE_VALUE] = {
+                self.KEY_MIN_VALUE: args[0],
+                self.KEY_MEAN_VALUE: args[0],
+                self.KEY_MAX_VALUE: args[0],
+                self.KEY_NUM_VALUES: 1,
+            }
+        else:
+            for key in kwargs:
+                if isinstance(kwargs[key], numbers.Number):
+                    kwargs[key] = continues_statistic(kwargs[key])
+            dict.__init__(self, *args, **kwargs)
+            for key in self:
+                if type(self[key]) is not continues_statistic:
+                    data = continues_statistic()
+                    if key == self.KEY_SINGLE_VALUE:
+                        data[self.KEY_SINGLE_VALUE] = self[key]
+                    else:
+                        data[self.KEY_SINGLE_VALUE] = self[key][self.KEY_SINGLE_VALUE]
+                    self[key] = data
+
+    @property
+    def __multivalue__(self):
+        if len(self.keys()) == 0:
+            raise AttributeError('No data stored in continues statistic')
+        elif len(self.keys()) == 1:
+            if list(self.keys())[0] != self.KEY_SINGLE_VALUE:
+                raise AttributeError("The single value key needs to be %s." % self.KEY_SINGLE_VALUE)
+            return False
+        return True
+
+    def __add__(self, other):
+        rv = continues_statistic(self)
+        if self.__multivalue__:
+            if self.__multivalue__ != other.__multivalue__ or self.keys() != other.keys():
+                raise AttributeError("Instances are incompatible")
+            else:
+                for key in rv:
+                    rv[key] += other[key]
+        else:
+            rv[self.KEY_SINGLE_VALUE][self.KEY_MEAN_VALUE] = (self[self.KEY_SINGLE_VALUE][self.KEY_MEAN_VALUE] * self[self.KEY_SINGLE_VALUE][self.KEY_NUM_VALUES] + other[self.KEY_SINGLE_VALUE][self.KEY_MEAN_VALUE] * other[self.KEY_SINGLE_VALUE][self.KEY_NUM_VALUES]) / (self[self.KEY_SINGLE_VALUE][self.KEY_NUM_VALUES] + other[self.KEY_SINGLE_VALUE][self.KEY_NUM_VALUES])
+            rv[self.KEY_SINGLE_VALUE][self.KEY_MIN_VALUE] = min(self[self.KEY_SINGLE_VALUE][self.KEY_MIN_VALUE], other[self.KEY_SINGLE_VALUE][self.KEY_MIN_VALUE])
+            rv[self.KEY_SINGLE_VALUE][self.KEY_MAX_VALUE] = max(self[self.KEY_SINGLE_VALUE][self.KEY_MAX_VALUE], other[self.KEY_SINGLE_VALUE][self.KEY_MAX_VALUE])
+            rv[self.KEY_SINGLE_VALUE][self.KEY_NUM_VALUES] = self[self.KEY_SINGLE_VALUE][self.KEY_NUM_VALUES]+other[self.KEY_SINGLE_VALUE][self.KEY_NUM_VALUES]
+        return rv
+    
+    def __str__(self):
+        output_for_value = "mean=%%(%s)s, min=%%(%s)s, max=%%(%s)s, num=%%(%s)s" % (self.KEY_MEAN_VALUE, self.KEY_MIN_VALUE, self.KEY_MAX_VALUE, self.KEY_NUM_VALUES)
+        if self.__multivalue__:
+            rv = ""
+            for key in self:
+                rv += key + ': ' + str(self[key]) + "\n"
+            return rv
+        else:
+            return output_for_value % self[self.KEY_SINGLE_VALUE]
+
+
+class ringbuffer(list):
+    def __init__(self, *args, **kwargs):
+        self.__max_length__ = kwargs.pop('length')
+        list.__init__(self, *args, **kwargs)
+        self.__reduce_list__()
+
+    def __reduce_list__(self):
+        while len(self) > self.__max_length__:
+            self.pop(0)
+
+    def append(self, *args, **kwargs):
+        rv = list.append(self, *args, **kwargs)
+        self.__reduce_list__()
+        return rv
+
+
+class data_collector(object):
+    def __init__(self, bufferlength):
+        self.__current_data_rinbuffer__ = ringbuffer(length=3)
+        #
+        self.__continues_statistic__ = None
+        self.__yesterdays_statistic__ = None
+        self.__measurement_day__ = None
+        #
+        self.__ringbuffer__ = ringbuffer(length=bufferlength)
+
+    def __process_continues_statistic__(self, **kwargs):
+        # rotate continues_statistic day by day
+        today = time.strftime('%Y' + os.path.sep + '%m' + os.path.sep + '%d')
+        if self.__measurement_day__ is None:
+            self.__measurement_day__ = today
+        if self.__measurement_day__ != today:
+            self.__yesterdays_statistic__ = self.__continues_statistic__
+            self.__continues_statistic__ = None
+            self.__measurement_day__ = None
+        # Set or update continues statistic
+        if self.__continues_statistic__ is None:
+            self.__continues_statistic__ = continues_statistic(**kwargs)
+        else:
+            self.__continues_statistic__ += continues_statistic(**kwargs)
+
+
+    def add_data(self, **kwargs):
+        self.__current_data_rinbuffer__.append(kwargs)
+        self.__process_continues_statistic__(**kwargs)
+        self.__ringbuffer__.append(kwargs)
+
+    @property
+    def current(self):
+        if len(self.__current_data_rinbuffer__) == 0:
+            return None
+        elif  len(self.__current_data_rinbuffer__) < 3:
+            return self.__current_data_rinbuffer__[-1]
+        else:
+            rv = {}
+            for key in self.__current_data_rinbuffer__[0]:
+                data = []
+                for entry in self.__current_data_rinbuffer__:
+                    data.append(entry[key])
+                else:
+                    data.sort()
+                    rv[key] = data[1]
+            return rv
+
+    @property
+    def todays_statistic(self):
+        return self.__continues_statistic__
+
+    @property
+    def yesterdays_statistic(self):
+        return self.__yesterdays_statistic__
+
+    @property
+    def databuffer(self):
+        return self.__ringbuffer__[:]