diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index e22c34319..4677c884d 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -10,7 +10,7 @@ repos:
       - id: debug-statements
       - id: requirements-txt-fixer
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: "v0.15.14"
+    rev: "v0.16.5"
     hooks:
       - id: ruff-format
   - repo: local
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 14d0b903b..3c21166ea 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -474,7 +474,9 @@ Expect similar or slightly slower training times due to interactions.
     from interpret.version import __version__
 
     # Change this to your custom CDN.
-    JS_URL = "https://unpkg.com/@interpretml/interpret-inline@{}/dist/interpret-inline.js".format(__version__)
+    JS_URL = "https://unpkg.com/@interpretml/interpret-inline@{}/dist/interpret-inline.js".format(
+        __version__
+    )
     set_visualize_provider(InlineProvider(js_url=JS_URL))
     ```
 - EBM has changed initialization parameters:
diff --git a/README.md b/README.md
index 5d96e267e..fd8abd591 100644
--- a/README.md
+++ b/README.md
@@ -107,12 +107,17 @@ show([logistic_regression_global, decision_tree_global])
 If you need to keep your data private, use Differentially Private EBMs (see [DP-EBMs](https://proceedings.mlr.press/v139/nori21a/nori21a.pdf))
 
 ```python
-from interpret.privacy import DPExplainableBoostingClassifier, DPExplainableBoostingRegressor
-
-dp_ebm = DPExplainableBoostingClassifier(epsilon=1, delta=1e-5) # Specify privacy parameters
+from interpret.privacy import (
+    DPExplainableBoostingClassifier,
+    DPExplainableBoostingRegressor,
+)
+
+dp_ebm = DPExplainableBoostingClassifier(
+    epsilon=1, delta=1e-5
+)  # Specify privacy parameters
 dp_ebm.fit(X_train, y_train)
 
-show(dp_ebm.explain_global()) # Identical function calls to standard EBMs
+show(dp_ebm.explain_global())  # Identical function calls to standard EBMs
 ```
 
 <br/>