diff --git a/skore-hub-project/src/skore_hub_project/artifact/media/feature_importance.py b/skore-hub-project/src/skore_hub_project/artifact/media/feature_importance.py
index 9c094564e..a05706310 100644
--- a/skore-hub-project/src/skore_hub_project/artifact/media/feature_importance.py
+++ b/skore-hub-project/src/skore_hub_project/artifact/media/feature_importance.py
@@ -5,7 +5,6 @@
 from functools import reduce
 from typing import ClassVar, Literal, cast
 
-from pandas import DataFrame
 from pydantic import Field
 
 from skore_hub_project.artifact.media.media import Media
@@ -33,7 +32,7 @@ def content_to_upload(self) -> bytes | None:  # noqa: D102
             else function(data_source=self.data_source)
         )
 
-        if not isinstance(result, DataFrame):
+        if hasattr(result, "frame"):
             result = result.frame()
 
         return orjson.dumps(
diff --git a/skore-hub-project/src/skore_hub_project/metric/timing.py b/skore-hub-project/src/skore_hub_project/metric/timing.py
index 462932ac7..921ab7ce9 100644
--- a/skore-hub-project/src/skore_hub_project/metric/timing.py
+++ b/skore-hub-project/src/skore_hub_project/metric/timing.py
@@ -5,7 +5,6 @@
 from functools import cached_property
 from typing import ClassVar, Literal
 
-from pandas import DataFrame, Series
 from pydantic import Field, computed_field
 
 from skore_hub_project.protocol import CrossValidationReport, EstimatorReport
@@ -44,10 +43,10 @@ class FitTimeAggregate(Metric):  # noqa: D101
     @computed_field  # type: ignore[prop-decorator]
     @cached_property
     def value(self) -> float | None:  # noqa: D102
-        timings: DataFrame = self.report.metrics.timings(aggregate=self.aggregate)
+        timings = self.report.metrics.timings(aggregate=self.aggregate)
 
         try:
-            fit_times: Series = timings.loc["Fit time (s)"]
+            fit_times = timings.loc["Fit time (s)"]
         except KeyError:
             return None
 
@@ -106,10 +105,10 @@ class PredictTimeAggregate(Metric):  # noqa: D101
     @computed_field  # type: ignore[prop-decorator]
     @cached_property
     def value(self) -> float | None:  # noqa: D102
-        timings: DataFrame = self.report.metrics.timings(aggregate=self.aggregate)
+        timings = self.report.metrics.timings(aggregate=self.aggregate)
 
         try:
-            predict_times: Series = timings.loc[f"Predict time {self.data_source} (s)"]
+            predict_times = timings.loc[f"Predict time {self.data_source} (s)"]
         except KeyError:
             return None
 
diff --git a/skore-hub-project/tests/unit/artifact/media/test_feature_importance.py b/skore-hub-project/tests/unit/artifact/media/test_feature_importance.py
index ae7fa4f9f..63a02ad2c 100644
--- a/skore-hub-project/tests/unit/artifact/media/test_feature_importance.py
+++ b/skore-hub-project/tests/unit/artifact/media/test_feature_importance.py
@@ -1,6 +1,5 @@
 from functools import partialmethod
 
-from pandas import DataFrame
 from pydantic import ValidationError
 from pytest import fixture, mark, param, raises
 from skore_hub_project import Project
@@ -16,7 +15,7 @@
 def serialize(result) -> bytes:
     import orjson
 
-    if not isinstance(result, DataFrame):
+    if hasattr(result, "frame"):
         result = result.frame()
 
     return orjson.dumps(