diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 1bda47e0631a0..9f9bcd78c07b0 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -24,7 +24,7 @@ repos:
     hooks:
       - id: black
 -   repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.0.284
+    rev: v0.0.285
     hooks:
     -   id: ruff
         args: [--exit-non-zero-on-fix]
diff --git a/pandas/core/common.py b/pandas/core/common.py
index 1679e01ff9fe1..8fd8b10c6fc32 100644
--- a/pandas/core/common.py
+++ b/pandas/core/common.py
@@ -138,7 +138,7 @@ def is_bool_indexer(key: Any) -> bool:
     elif isinstance(key, list):
         # check if np.array(key).dtype would be bool
         if len(key) > 0:
-            if type(key) is not list:
+            if type(key) is not list:  # noqa: E721
                 # GH#42461 cython will raise TypeError if we pass a subclass
                 key = list(key)
             return lib.is_bool_list(key)
diff --git a/pandas/core/indexes/base.py b/pandas/core/indexes/base.py
index ee36a3515c4b3..721f4f5e1c494 100644
--- a/pandas/core/indexes/base.py
+++ b/pandas/core/indexes/base.py
@@ -7528,7 +7528,7 @@ def ensure_index(index_like: Axes, copy: bool = False) -> Index:
         index_like = list(index_like)
 
     if isinstance(index_like, list):
-        if type(index_like) is not list:
+        if type(index_like) is not list:  # noqa: E721
             # must check for exactly list here because of strict type
             # check in clean_index_list
             index_like = list(index_like)
diff --git a/pandas/core/internals/construction.py b/pandas/core/internals/construction.py
index 2290cd86f35e6..82b25955d0def 100644
--- a/pandas/core/internals/construction.py
+++ b/pandas/core/internals/construction.py
@@ -903,7 +903,7 @@ def _list_of_dict_to_arrays(
 
     # assure that they are of the base dict class and not of derived
     # classes
-    data = [d if type(d) is dict else dict(d) for d in data]
+    data = [d if type(d) is dict else dict(d) for d in data]  # noqa: E721
 
     content = lib.dicts_to_array(data, list(columns))
     return content, columns