diff --git a/examples/penguins/app.py b/examples/penguins/app.py
index 378f49cea..22c370508 100644
--- a/examples/penguins/app.py
+++ b/examples/penguins/app.py
@@ -55,7 +55,7 @@
 def server(input: Inputs, output: Outputs, session: Session):
     @reactive.calc
     def filtered_df() -> pd.DataFrame:
-        """Returns a Pandas data frame that includes only the desired rows"""
+        """Returns a pandas data frame that includes only the desired rows"""
 
         # This calculation "req"uires that at least one species is selected
         req(len(input.species()) > 0)
diff --git a/examples/static_plots/app.py b/examples/static_plots/app.py
index b5c928169..7f17fb460 100644
--- a/examples/static_plots/app.py
+++ b/examples/static_plots/app.py
@@ -36,7 +36,7 @@
             ui.input_slider("cov", "Co-variance", min=0, max=1, value=0.4),
         ),
     ),
-    ui.nav_panel("Pandas", ui.output_plot("pandas")),
+    ui.nav_panel("pandas", ui.output_plot("pandas")),
     ui.nav_panel("Holoviews", ui.output_plot("holoviews", height="600px")),
     ui.nav_panel("xarray", ui.output_plot("xarray")),
     ui.nav_panel("geopandas", ui.output_plot("geopandas")),
diff --git a/shiny/render/_data_frame.py b/shiny/render/_data_frame.py
index c8085c32e..b70534c1c 100644
--- a/shiny/render/_data_frame.py
+++ b/shiny/render/_data_frame.py
@@ -525,8 +525,9 @@ def data_view_rows(self) -> tuple[int, ...]:
             The row numbers of the data frame that are currently being viewed in the browser
             after sorting and filtering has been applied.
         """
-        id_data_view_rows = f"{self.output_id}_data_view_rows"
-        input_data_view_rows = self._get_session().input[id_data_view_rows]()
+        input_data_view_rows = self._get_session().input[
+            f"{self.output_id}_data_view_rows"
+        ]()
         return tuple(input_data_view_rows)
 
     # @reactive_calc_method
@@ -1015,11 +1016,12 @@ async def render(self) -> JsonifiableDict | None:
     async def _send_message_to_browser(self, handler: str, obj: dict[str, Any]):
 
         session = self._get_session()
-        id = session.ns(self.output_id)
         await session.send_custom_message(
             "shinyDataFrameMessage",
             {
-                "id": id,
+                # Custom message handlers are never namespaced for modules.
+                # Must provide a unique name to avoid conflicts between modules.
+                "id": session.ns(self.output_id),
                 "handler": handler,
                 "obj": obj,
             },
diff --git a/shiny/render/_render.py b/shiny/render/_render.py
index feda9b03f..b3513db4b 100644
--- a/shiny/render/_render.py
+++ b/shiny/render/_render.py
@@ -271,10 +271,9 @@ def __init__(
 
     async def render(self) -> dict[str, Jsonifiable] | Jsonifiable | None:
         is_userfn_async = self.fn.is_async()
-        name = self.output_id
         session = require_active_session(None)
         # Module support
-        name = session.ns(name)
+        output_name = session.ns(self.output_id)
         width = self.width
         height = self.height
         alt = self.alt
@@ -296,7 +295,9 @@ async def render(self) -> dict[str, Jsonifiable] | Jsonifiable | None:
         # you're asking for. It takes a reactive dependency. If the client hasn't reported
         # the requested dimension, you'll get a SilentException.
         def container_size(dimension: Literal["width", "height"]) -> float:
-            result = inputs[ResolvedId(f".clientdata_output_{name}_{dimension}")]()
+            result = inputs[
+                ResolvedId(f".clientdata_output_{output_name}_{dimension}")
+            ]()
             return typing.cast(float, result)
 
         non_missing_size = (