diff --git a/src/data_morph/shapes/factory.py b/src/data_morph/shapes/factory.py
index 2b2db2af..63a12c1b 100644
--- a/src/data_morph/shapes/factory.py
+++ b/src/data_morph/shapes/factory.py
@@ -49,6 +49,7 @@ class ShapeFactory:
         'scatter': points.Scatter,
         'right_parab': points.RightParabola,
         'up_parab': points.UpParabola,
+        'spiral': points.Spiral,
         'diamond': polygons.Diamond,
         'rectangle': polygons.Rectangle,
         'rings': circles.Rings,
diff --git a/src/data_morph/shapes/points.py b/src/data_morph/shapes/points.py
index 158be2a8..697ba83b 100644
--- a/src/data_morph/shapes/points.py
+++ b/src/data_morph/shapes/points.py
@@ -1,6 +1,7 @@
 """Shapes that are composed of points."""
 
 import itertools
+import math
 from numbers import Number
 
 import numpy as np
@@ -304,3 +305,51 @@ def distance(self, x: Number, y: Number) -> int:
             Always returns 0 to allow for scattering of the points.
         """
         return 0
+
+
+class Spiral(PointCollection):
+    """
+    Class for the spiral shape.
+
+    .. plot::
+       :scale: 100
+       :caption:
+            This shape is generated using the panda dataset.
+
+        from data_morph.data.loader import DataLoader
+        from data_morph.shapes.points import Spiral
+
+        _ = Spiral(DataLoader.load_dataset('panda')).plot()
+
+    Parameters
+    ----------
+    dataset : Dataset
+        The starting dataset to morph into other shapes.
+
+    Notes
+    -----
+    The formula for a spiral can be found here:
+    https://en.wikipedia.org/wiki/Archimedean_spiral
+    """
+
+    def __init__(self, dataset: Dataset) -> None:
+        xmin, xmax = dataset.data_bounds.x_bounds
+        ymin, ymax = dataset.data_bounds.y_bounds
+
+        # Coordinates of centre
+        cx = dataset.df.x.mean()
+        cy = dataset.df.y.mean()
+
+        # Max radius
+        radius = min(xmax - xmin, ymax - ymin) / 2
+
+        # Number of rotations
+        num_rotations = 3
+
+        t = np.linspace(0, 1, num=200)
+
+        # x and y calculations for a spiral
+        x = (t * radius) * np.cos(2 * num_rotations * math.pi * t) + cx
+        y = (t * radius) * np.sin(2 * num_rotations * math.pi * t) + cy
+
+        super().__init__(*np.stack([x, y], axis=1))
diff --git a/tests/shapes/test_points.py b/tests/shapes/test_points.py
index 842d831d..dbd273a7 100644
--- a/tests/shapes/test_points.py
+++ b/tests/shapes/test_points.py
@@ -88,6 +88,13 @@ class TestScatter(PointsModuleTestBase):
     distance_test_cases = [[(20, 50), 0.0], [(30, 60), 0.0], [(-500, -150), 0.0]]
 
 
+class TestSpiral(PointsModuleTestBase):
+    """Test the Spiral class."""
+
+    shape_name = 'spiral'
+    distance_test_cases = [[(20, 60), 0.0], [(70, 90), 50.0]]
+
+
 class ParabolaTestBase(PointsModuleTestBase):
     """Base test class for parabolic shapes."""