diff --git a/experiments/chem_info/bulk_sims.py b/experiments/chem_info/bulk_sims.py
index a83535918..f6ae9bbdd 100644
--- a/experiments/chem_info/bulk_sims.py
+++ b/experiments/chem_info/bulk_sims.py
@@ -29,8 +29,11 @@
     top_indices = sorted(range(len(similarities)), key=lambda j: -similarities[j])[:6]  # Include self
     top_neighbors = [
         {"query_id": compound_ids[i], "neighbor_id": compound_ids[j], "similarity": similarities[j]}
-        for j in top_indices if compound_ids[j] != compound_ids[i]
-    ][:5]  # Exclude self and limit to top 5
+        for j in top_indices
+        if compound_ids[j] != compound_ids[i]
+    ][
+        :5
+    ]  # Exclude self and limit to top 5
     results.extend(top_neighbors)
 
 # Convert results to a DataFrame
@@ -44,4 +47,4 @@
 query_id = tox_df[id_column].iloc[1]
 query_neighbors_df = neighbors_df[neighbors_df["query_id"] == query_id]
 print(f"\nBULK: Neighbors for query ID {query_id}:")
-print(query_neighbors_df)
\ No newline at end of file
+print(query_neighbors_df)
diff --git a/experiments/chem_info/knn_sims.py b/experiments/chem_info/knn_sims.py
index 3e768c57e..680577403 100644
--- a/experiments/chem_info/knn_sims.py
+++ b/experiments/chem_info/knn_sims.py
@@ -1,4 +1,3 @@
-
 # Workbench Imports
 from workbench.api.df_store import DFStore
 from workbench.utils.chem_utils import compute_morgan_fingerprints
diff --git a/src/workbench/algorithms/graph/light/proximity_graph.py b/src/workbench/algorithms/graph/light/proximity_graph.py
index 3af4a49d6..e65d39c53 100644
--- a/src/workbench/algorithms/graph/light/proximity_graph.py
+++ b/src/workbench/algorithms/graph/light/proximity_graph.py
@@ -107,10 +107,9 @@ def get_neighborhood(self, node_id: Union[str, int], radius: int = 1) -> nx.Grap
 if __name__ == "__main__":
     from workbench.algorithms.dataframe.fingerprint_proximity import FingerprintProximity
     from workbench.web_interface.components.plugins.graph_plot import GraphPlot
-    from workbench.api import FeatureSet, DFStore, GraphStore
+    from workbench.api import DFStore, GraphStore
     from workbench.utils.chem_utils import compute_morgan_fingerprints
 
-
     # Example DataFrame for FeaturesProximity
     feature_data = {
         "id": [1, 2, 3, 4],
@@ -174,7 +173,7 @@ def get_neighborhood(self, node_id: Union[str, int], radius: int = 1) -> nx.Grap
 
     # Now a real dataset with fingerprints
     """
-
+    from workbench.api import FeatureSet
     fs = FeatureSet("aqsol_mol_descriptors")
     df = fs.pull_dataframe()
     df = df.sample(1000)
@@ -199,7 +198,6 @@ def get_neighborhood(self, node_id: Union[str, int], radius: int = 1) -> nx.Grap
     g_store.upsert("test/fingerprint_graph", nx_graph)
     """
 
-
     # Pull in the tox21 data
     tox_df = DFStore().get("/datasets/chem_info/tox21")
     tox_df = tox_df.sample(1000)
diff --git a/src/workbench/repl/workbench_shell.py b/src/workbench/repl/workbench_shell.py
index 33e928092..d7b263f3a 100644
--- a/src/workbench/repl/workbench_shell.py
+++ b/src/workbench/repl/workbench_shell.py
@@ -495,9 +495,10 @@ def switch_to_direct_meta(self):
     def get_meta(self):
         return self.meta
 
-    def plot_manager(self, data, plot_type: str="table", **kwargs):
+    def plot_manager(self, data, plot_type: str = "table", **kwargs):
         """Plot Manager for Workbench"""
         from workbench.web_interface.components.plugins import ag_table, graph_plot, scatter_plot
+
         if plot_type == "table":
             # Check what type of data we have
             if isinstance(data, pd.DataFrame):