diff --git a/src/utils/math.py b/src/utils/math.py
new file mode 100644
index 0000000..4f985d9
--- /dev/null
+++ b/src/utils/math.py
@@ -0,0 +1,80 @@
+"""
+Math utility functions for RealTimeNodes.
+
+Contains functions for mathematical operations including:
+- Value scaling and normalization
+- Distance calculations
+- Other general math operations
+"""
+
+import math
+from typing import Optional, Tuple, Any
+
+def scale_value(value: Optional[float], 
+                input_min: float, input_max: float, 
+                output_min: float, output_max: float, 
+                clamp: bool = True) -> Optional[float]:
+    """
+    Linearly scales a value from one range to another.
+    
+    Args:
+        value: The value to scale
+        input_min: Minimum value of input range
+        input_max: Maximum value of input range
+        output_min: Minimum value of output range
+        output_max: Maximum value of output range
+        clamp: Whether to clamp the output to the output range
+        
+    Returns:
+        Scaled value, or None if input was None
+    """
+    if value is None:
+        return None
+    if input_max == input_min:  # Avoid division by zero
+        return output_min if value <= input_min else output_max
+        
+    # Scale
+    scaled = output_min + (value - input_min) * (output_max - output_min) / (input_max - input_min)
+    
+    # Clamp
+    if clamp:
+        scaled = max(output_min, min(output_max, scaled))
+        
+    return scaled
+
+def calculate_euclidean_distance(point1: Tuple[float, float, float], 
+                                point2: Tuple[float, float, float]) -> float:
+    """
+    Calculates the Euclidean distance between two 3D points.
+    
+    Args:
+        point1: First point as (x, y, z)
+        point2: Second point as (x, y, z)
+        
+    Returns:
+        Euclidean distance between the points
+    """
+    delta_x = point1[0] - point2[0]
+    delta_y = point1[1] - point2[1]
+    delta_z = point1[2] - point2[2]
+    
+    distance = math.sqrt(delta_x**2 + delta_y**2 + delta_z**2)
+    return distance
+
+def calculate_euclidean_distance_2d(point1: Tuple[float, float], 
+                                   point2: Tuple[float, float]) -> float:
+    """
+    Calculates the Euclidean distance between two 2D points.
+    
+    Args:
+        point1: First point as (x, y)
+        point2: Second point as (x, y)
+        
+    Returns:
+        Euclidean distance between the points
+    """
+    delta_x = point1[0] - point2[0]
+    delta_y = point1[1] - point2[1]
+    
+    distance = math.sqrt(delta_x**2 + delta_y**2)
+    return distance 
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