diff --git a/pandas/_libs/hashtable.pyi b/pandas/_libs/hashtable.pyi
index 5c7be5e660fd9..a6d593076777d 100644
--- a/pandas/_libs/hashtable.pyi
+++ b/pandas/_libs/hashtable.pyi
@@ -144,26 +144,13 @@ class HashTable:
         np.ndarray,  # np.ndarray[subclass-specific]
         npt.NDArray[np.intp],
     ] | np.ndarray: ...  # np.ndarray[subclass-specific]
-    def _unique(
-        self,
-        values: np.ndarray,  # np.ndarray[subclass-specific]
-        uniques,  # FooVector
-        count_prior: int = ...,
-        na_sentinel: int = ...,
-        na_value: object = ...,
-        ignore_na: bool = ...,
-        return_inverse: bool = ...,
-    ) -> tuple[
-        np.ndarray,  # np.ndarray[subclass-specific]
-        npt.NDArray[np.intp],
-    ] | np.ndarray: ...  # np.ndarray[subclass-specific]
     def factorize(
         self,
         values: np.ndarray,  # np.ndarray[subclass-specific]
         na_sentinel: int = ...,
         na_value: object = ...,
         mask=...,
-    ) -> tuple[np.ndarray, npt.NDArray[np.intp],]: ...  # np.ndarray[subclass-specific]
+    ) -> tuple[np.ndarray, npt.NDArray[np.intp]]: ...  # np.ndarray[subclass-specific]
 
 class Complex128HashTable(HashTable): ...
 class Complex64HashTable(HashTable): ...
@@ -175,7 +162,7 @@ class Int64HashTable(HashTable):
     def get_labels_groupby(
         self,
         values: npt.NDArray[np.int64],  # const int64_t[:]
-    ) -> tuple[npt.NDArray[np.intp], npt.NDArray[np.int64],]: ...
+    ) -> tuple[npt.NDArray[np.intp], npt.NDArray[np.int64]]: ...
     def map_keys_to_values(
         self,
         keys: npt.NDArray[np.int64],
@@ -198,13 +185,13 @@ def duplicated(
     keep: Literal["last", "first", False] = ...,
 ) -> npt.NDArray[np.bool_]: ...
 def mode(
-    values: np.ndarray, dropna: bool, mask: npt.NDArray[np.bool_] | None = None
+    values: np.ndarray, dropna: bool, mask: npt.NDArray[np.bool_] | None = ...
 ) -> np.ndarray: ...
 def value_count(
     values: np.ndarray,
     dropna: bool,
-    mask: npt.NDArray[np.bool_] | None = None,
-) -> tuple[np.ndarray, npt.NDArray[np.int64],]: ...  # np.ndarray[same-as-values]
+    mask: npt.NDArray[np.bool_] | None = ...,
+) -> tuple[np.ndarray, npt.NDArray[np.int64]]: ...  # np.ndarray[same-as-values]
 
 # arr and values should have same dtype
 def ismember(
diff --git a/pandas/_libs/tslibs/conversion.pyi b/pandas/_libs/tslibs/conversion.pyi
index 3d0288160e386..ca6f301673f33 100644
--- a/pandas/_libs/tslibs/conversion.pyi
+++ b/pandas/_libs/tslibs/conversion.pyi
@@ -14,7 +14,7 @@ class OutOfBoundsTimedelta(ValueError): ...
 
 def precision_from_unit(
     unit: str,
-) -> tuple[int, int,]: ...  # (int64_t, _)
+) -> tuple[int, int]: ...  # (int64_t, _)
 def ensure_datetime64ns(
     arr: np.ndarray,  # np.ndarray[datetime64[ANY]]
     copy: bool = ...,
@@ -25,5 +25,5 @@ def ensure_timedelta64ns(
 ) -> np.ndarray: ...  # np.ndarray[timedelta64ns]
 def datetime_to_datetime64(
     values: npt.NDArray[np.object_],
-) -> tuple[np.ndarray, tzinfo | None,]: ...  # (np.ndarray[dt64ns], _)
+) -> tuple[np.ndarray, tzinfo | None]: ...  # (np.ndarray[dt64ns], _)
 def localize_pydatetime(dt: datetime, tz: tzinfo | None) -> datetime: ...
diff --git a/pandas/_libs/tslibs/dtypes.pyi b/pandas/_libs/tslibs/dtypes.pyi
index ab66677a8be3a..31ed25791389f 100644
--- a/pandas/_libs/tslibs/dtypes.pyi
+++ b/pandas/_libs/tslibs/dtypes.pyi
@@ -1,7 +1,5 @@
 from enum import Enum
 
-from pandas._libs.tslibs.offsets import BaseOffset
-
 # These are not public API, but are exposed in the .pyi file because they
 #  are imported in tests.
 _attrname_to_abbrevs: dict[str, str]
diff --git a/pandas/_libs/tslibs/timestamps.pyi b/pandas/_libs/tslibs/timestamps.pyi
index c5ffaba37f51f..13daba5cfcbdf 100644
--- a/pandas/_libs/tslibs/timestamps.pyi
+++ b/pandas/_libs/tslibs/timestamps.pyi
@@ -16,7 +16,6 @@ import numpy as np
 
 from pandas._libs.tslibs import (
     BaseOffset,
-    NaTType,
     Period,
     Tick,
     Timedelta,
diff --git a/pandas/conftest.py b/pandas/conftest.py
index ecdc0f10b1f56..9d98478010c97 100644
--- a/pandas/conftest.py
+++ b/pandas/conftest.py
@@ -17,7 +17,6 @@
 - Dtypes
 - Misc
 """
-# pyright: reportUntypedFunctionDecorator = false
 
 from collections import abc
 from datetime import (
diff --git a/pyproject.toml b/pyproject.toml
index c5f89076a29fa..7b32c5f8eab49 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -153,34 +153,21 @@ pythonVersion = "3.8"
 typeCheckingMode = "basic"
 include = ["pandas", "typings"]
 exclude = ["pandas/tests", "pandas/io/clipboard", "pandas/util/version"]
+# enable subset of "strict"
+reportDuplicateImport = true
+reportInvalidStubStatement = true
+reportPropertyTypeMismatch = true
+reportUntypedClassDecorator = true
+reportUntypedFunctionDecorator = true
+reportUntypedNamedTuple = true
+# disable subset of "basic"
 reportGeneralTypeIssues = false
-reportConstantRedefinition = false
-reportFunctionMemberAccess = false
-reportImportCycles = false
-reportIncompatibleMethodOverride = false
-reportIncompatibleVariableOverride = false
 reportMissingModuleSource = false
-reportMissingParameterType = false
-reportMissingTypeArgument = false
-reportMissingTypeStubs = false
 reportOptionalCall = false
 reportOptionalIterable = false
 reportOptionalMemberAccess = false
 reportOptionalOperand = false
 reportOptionalSubscript = false
 reportPrivateImportUsage = false
-reportPrivateUsage = false
 reportUnboundVariable = false
-reportUnknownArgumentType = false
-reportUnknownLambdaType = false
-reportUnknownMemberType = false
-reportUnknownParameterType = false
-reportUnknownVariableType = false
-reportUnnecessaryComparison = false
-reportUnnecessaryIsInstance = false
 reportUnsupportedDunderAll = false
-reportUntypedBaseClass = false
-reportUnusedClass = false
-reportUnusedFunction = false
-reportUnusedImport = false
-reportUnusedVariable = false