diff --git a/.gitignore b/.gitignore
index cf2ccb41..375238bf 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,4 +1,5 @@
 *_venv
+virny_env
 notebooks
 *.env
 .DS_Store
diff --git a/requirements.txt b/requirements.txt
index 6e55b6af..12b6aa38 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,8 +1,6 @@
 wheel~=0.38.4
 twine~=4.0.2
-requests-toolbelt==1.0.0
 numpy~=1.24.2
-datapane~=0.15.5
 matplotlib~=3.6.2
 pandas~=1.5.2
 altair~=4.2.0
@@ -17,4 +15,6 @@ PyYAML~=6.0
 river==0.15.0
 python-dotenv~=1.0.0
 pytest~=7.2.2
-pymongo==4.3.3
\ No newline at end of file
+pymongo==4.3.3
+datapane~=0.16.0
+requests-toolbelt==1.0.0
\ No newline at end of file
diff --git a/virny/custom_classes/metrics_composer.py b/virny/custom_classes/metrics_composer.py
index 4d9cdc10..b18f3866 100644
--- a/virny/custom_classes/metrics_composer.py
+++ b/virny/custom_classes/metrics_composer.py
@@ -46,19 +46,24 @@ def compose_metrics(self):
                 priv_group = sensitive_attr + '_priv'
 
                 groups_metrics_dct[sensitive_attr] = {
-                    # Group fairness metrics
+                    # Error disparity metrics
                     'Equalized_Odds_TPR': cfm[dis_group]['TPR'] - cfm[priv_group]['TPR'],
                     'Equalized_Odds_FPR': cfm[dis_group]['FPR'] - cfm[priv_group]['FPR'],
                     'Equalized_Odds_FNR': cfm[dis_group]['FNR'] - cfm[priv_group]['FNR'],
                     'Disparate_Impact': cfm[dis_group]['Positive-Rate'] / cfm[priv_group]['Positive-Rate'],
                     'Statistical_Parity_Difference': cfm[dis_group]['Positive-Rate'] - cfm[priv_group]['Positive-Rate'],
                     'Accuracy_Parity': cfm[dis_group]['Accuracy'] - cfm[priv_group]['Accuracy'],
-                    # Group stability metrics
+                    # Stability disparity metrics
                     'Label_Stability_Ratio': cfm[dis_group]['Label_Stability'] / cfm[priv_group]['Label_Stability'],
                     'IQR_Parity': cfm[dis_group]['IQR'] - cfm[priv_group]['IQR'],
                     'Std_Parity': cfm[dis_group]['Std'] - cfm[priv_group]['Std'],
                     'Std_Ratio': cfm[dis_group]['Std'] / cfm[priv_group]['Std'],
                     'Jitter_Parity': cfm[dis_group]['Jitter'] - cfm[priv_group]['Jitter'],
+                    # Uncertainty disparity metrics
+                    'Overall_Uncertainty_Parity': cfm[dis_group]['Overall_Uncertainty'] - cfm[priv_group]['Overall_Uncertainty'],
+                    'Overall_Uncertainty_Ratio': cfm[dis_group]['Overall_Uncertainty'] / cfm[priv_group]['Overall_Uncertainty'],
+                    'Aleatoric_Uncertainty_Parity': cfm[dis_group]['Aleatoric_Uncertainty'] - cfm[priv_group]['Aleatoric_Uncertainty'],
+                    'Aleatoric_Uncertainty_Ratio': cfm[dis_group]['Aleatoric_Uncertainty'] / cfm[priv_group]['Aleatoric_Uncertainty'],
                 }
 
             model_composed_metrics_df = pd.DataFrame(groups_metrics_dct).reset_index()