diff --git a/fury/actor.py b/fury/actor.py
index b7b8ca51e..fffa92974 100644
--- a/fury/actor.py
+++ b/fury/actor.py
@@ -635,3 +635,68 @@ def rhombicuboctahedron(
         material=material,
         enable_picking=enable_picking,
     )
+
+
+def triangularprism(
+    centers,
+    *,
+    directions=(0, 0, 0),
+    colors=(1, 1, 1),
+    scales=(1, 1, 1),
+    opacity=None,
+    material="phong",
+    enable_picking=True,
+):
+    """Visualize one or many triangularprism with different features.
+
+    Parameters
+    ----------
+    centers : ndarray, shape (N, 3)
+        triangularprism positions.
+    directions : ndarray, shape (N, 3), optional
+        The orientation vector of the triangularprism.
+    colors : ndarray (N,3) or (N, 4) or tuple (3,) or tuple (4,), optional
+        RGB or RGBA (for opacity) R, G, B and A should be at the range [0, 1].
+    scales : int or ndarray (N,3) or tuple (3,), optional
+        The size of the triangularprism in each dimension. If a single value is
+        provided, the same size will be used for all triangularprism.
+    opacity : float, optional
+        Takes values from 0 (fully transparent) to 1 (opaque).
+        If both `opacity` and RGBA are provided, the final alpha will be:
+        final_alpha = alpha_in_RGBA * opacity
+    material : str, optional
+        The material type for the triangularprisms. Options are 'phong' and 'basic'.
+    enable_picking : bool, optional
+        Whether the triangularprisms should be pickable in a 3D scene.
+
+    Returns
+    -------
+    mesh_actor : Actor
+        A mesh actor containing the generated triangularprisms, with the specified
+        material and properties.
+
+    Examples
+    --------
+    >>> from fury import window, actor
+    >>> import numpy as np
+    >>> scene = window.Scene()
+    >>> centers = np.random.rand(5, 3) * 10
+    >>> colors = np.random.rand(5, 3)
+    >>> triangularprism_actor = actor.triangularprism(
+    centers=centers, colors=colors)
+    >>> scene.add(triangularprism_actor)
+    >>> show_manager = window.ShowManager(scene=scene, size=(600, 600))
+    >>> show_manager.start()
+    """
+    vertices, faces = fp.prim_triangularprism()
+    return actor_from_primitive(
+        vertices,
+        faces,
+        centers=centers,
+        colors=colors,
+        scales=scales,
+        directions=directions,
+        opacity=opacity,
+        material=material,
+        enable_picking=enable_picking,
+    )
diff --git a/fury/tests/test_actor.py b/fury/tests/test_actor.py
index ff4a84d54..115b4cb1c 100644
--- a/fury/tests/test_actor.py
+++ b/fury/tests/test_actor.py
@@ -402,3 +402,60 @@ def test_rhombicuboctahedron():
     assert g == 0 and b == 0
     assert r == 255
     scene.remove(rhombicuboctahedron_actor_2)
+
+
+def test_triangularprism():
+    scene = window.Scene()
+    centers = np.array([[0, 0, 0]])
+    colors = np.array([[1, 0, 0]])
+
+    triangularprism_actor = actor.triangularprism(centers=centers, colors=colors)
+    scene.add(triangularprism_actor)
+
+    npt.assert_array_equal(triangularprism_actor.local.position, centers[0])
+
+    mean_vertex = np.mean(triangularprism_actor.geometry.positions.view, axis=0)
+    npt.assert_array_almost_equal(mean_vertex, centers[0])
+
+    assert triangularprism_actor.prim_count == 1
+
+    window.snapshot(scene=scene, fname="triangularprism_test_1.png")
+
+    img = Image.open("triangularprism_test_1.png")
+    img_array = np.array(img)
+
+    mean_r, mean_g, mean_b, mean_a = np.mean(
+        img_array.reshape(-1, img_array.shape[2]), axis=0
+    )
+
+    assert mean_r > mean_b and mean_r > mean_g
+
+    middle_pixel = img_array[img_array.shape[0] // 2, img_array.shape[1] // 2]
+    r, g, b, a = middle_pixel
+    assert r > g and r > b
+    assert g == b
+    scene.remove(triangularprism_actor)
+
+    triangularprism_actor_2 = actor.triangularprism(
+        centers=centers, colors=colors, material="basic"
+    )
+    scene.add(triangularprism_actor_2)
+    window.snapshot(scene=scene, fname="triangularprism_test_2.png")
+
+    img = Image.open("triangularprism_test_2.png")
+    img_array = np.array(img)
+
+    mean_r, mean_g, mean_b, mean_a = np.mean(
+        img_array.reshape(-1, img_array.shape[2]), axis=0
+    )
+
+    assert mean_r > mean_b and mean_r > mean_g
+    assert 0 < mean_r < 255
+    assert mean_g == 0 and mean_b == 0
+
+    middle_pixel = img_array[img_array.shape[0] // 2, img_array.shape[1] // 2]
+    r, g, b, a = middle_pixel
+    assert r > g and r > b
+    assert g == 0 and b == 0
+    assert r == 255
+    scene.remove(triangularprism_actor_2)