diff --git a/livecell_tracker/viz/__init__.py b/livecell_tracker/viz/__init__.py
deleted file mode 100644
index 5679ea9b..00000000
--- a/livecell_tracker/viz/__init__.py
+++ /dev/null
@@ -1 +0,0 @@
-import livecell_tracker.viz.table
diff --git a/livecell_tracker/viz/table.py b/livecell_tracker/viz/table.py
deleted file mode 100644
index b2532348..00000000
--- a/livecell_tracker/viz/table.py
+++ /dev/null
@@ -1,64 +0,0 @@
-from magicgui import magicgui
-from magicgui.widgets import Table
-import pandas as pd
-from livecell_tracker.core import SingleCellStatic, SingleCellTrajectory
-from livecell_tracker.trajectory.feature_extractors import compute_skimage_regionprops
-
-
-@magicgui
-def sc_static_table_widget(sc: SingleCellStatic):
-    # Create a DataFrame from SingleCellStatic instance
-    data = {
-        "Timeframe": sc.timeframe,
-        "BoundingBox": sc.bbox,
-        "Centroid": sc.regionprops.centroid,
-        "Dataset Name": sc.img_dataset.get_dataset_name(),
-    }
-    # Convert to DataFrame
-    df = pd.DataFrame(list(data.items()), columns=["Attribute", "Value"])
-
-    # Add the feature_dict as separate rows
-    feature_dict = sc.get_feature_pd_series().to_dict()
-    feature_df = pd.DataFrame(list(feature_dict.items()), columns=["Attribute", "Value"])
-    df = pd.concat([df, feature_df], ignore_index=True)
-
-    # Create a Table widget and populate it with the DataFrame
-    table = Table(value=df)
-    return table
-
-
-@magicgui
-def sct_table_widget(trajectory: SingleCellTrajectory):
-    # Get feature table from SingleCellTrajectory
-    trajectory.compute_features("skimage", compute_skimage_regionprops)
-    feature_table = trajectory.get_sc_feature_table()
-
-    # Create a DataFrame to store the attributes and features
-    data = {
-        "Timeframe": [],
-        "BoundingBox": [],
-        "Centroid": [],
-        "Dataset Name": [],
-    }
-
-    # Initialize the feature columns with empty lists
-    for feature_key in feature_table.columns:
-        data[feature_key] = []
-
-    # Iterate through the SingleCellStatic instances in the trajectory
-    for timeframe, single_cell in trajectory.timeframe_to_single_cell.items():
-        data["Timeframe"].append(timeframe)
-        data["BoundingBox"].append(single_cell.bbox)
-        data["Centroid"].append(single_cell.regionprops.centroid)
-        data["Dataset Name"].append(single_cell.img_dataset.get_dataset_name())
-
-        # Extract features from the feature table and add to data
-        row_index = "_".join([str(trajectory.track_id), str(timeframe)])
-        for feature_key in feature_table.columns:
-            data[feature_key].append(feature_table.at[row_index, feature_key])
-
-    df = pd.DataFrame(data)
-
-    # Create a Table widget and populate it with the DataFrame
-    table = Table(value=df)
-    return table