diff --git a/examples/annotation-export/app.py b/examples/annotation-export/app.py
new file mode 100644
index 000000000..6f06f4d89
--- /dev/null
+++ b/examples/annotation-export/app.py
@@ -0,0 +1,120 @@
+from pathlib import Path
+
+import matplotlib.dates as mdates
+import matplotlib.pyplot as plt
+import pandas as pd
+import seaborn as sns
+
+from shiny import App, Inputs, Outputs, Session, reactive, render, ui
+from shiny.plotutils import brushed_points
+
+path = Path(__file__).parent / "boulder_temp.csv"
+weather_df = pd.read_csv(path)
+weather_df["date"] = pd.to_datetime(weather_df["date"])
+weather_df["annotation"] = ""
+
+app_ui = ui.page_fluid(
+    ui.panel_title("Plot annotation example"),
+    ui.p(
+        """
+        Select points to annotate them.
+        The plot is rendered with seaborn and all interaction is handled by Shiny.
+        """,
+        {"style": "font-size: larger"},
+    ),
+    ui.row(
+        ui.column(
+            6,
+            ui.output_plot("time_series", brush=ui.brush_opts(direction="x")),
+            ui.output_ui("annotator"),
+        ),
+        ui.column(
+            4,
+            ui.h3("Annotated points"),
+            ui.output_data_frame("annotations"),
+        ),
+        ui.column(2, ui.download_button("download", "Download CSV")),
+    ),
+)
+
+
+def server(input: Inputs, output: Outputs, session: Session):
+    annotated_data = reactive.Value(weather_df)
+
+    @reactive.Calc
+    def selected_data():
+        out = brushed_points(annotated_data(), input.time_series_brush(), xvar="date")
+        return out
+
+    @reactive.Effect
+    @reactive.event(input.annotate_button)
+    def _():
+        selected = selected_data()
+        selected["annotation_new"] = input.annotation()
+        selected = selected.loc[:, ["date", "annotation_new"]]
+
+        df = annotated_data().copy()
+
+        df = df.merge(selected, on="date", how="left")
+        df["annotation_new"] = df["annotation_new"].fillna("")
+        updated_rows = df["annotation_new"] != ""
+        df.loc[updated_rows, "annotation"] = df.loc[updated_rows, "annotation_new"]
+        df = df.loc[:, ["date", "temp_c", "annotation"]]
+        annotated_data.set(df)
+
+    @output
+    @render.plot
+    def time_series():
+        fig, ax = plt.subplots()
+        ax.xaxis.set_major_locator(mdates.MonthLocator())
+        ax.xaxis.set_major_formatter(mdates.DateFormatter("%Y-%m"))
+        ax.set_title("Temperature readings, Boulder Colorado")
+        out = sns.scatterplot(
+            data=annotated_data(), x="date", y="temp_c", hue="annotation", ax=ax
+        )
+
+        out.tick_params(axis="x", rotation=30)
+        return out.get_figure()
+
+    @output
+    @render.ui
+    def annotator():
+        if input.time_series_brush() is not None:
+            selected = selected_data()
+
+            min = str(selected["date"].min())
+            max = str(selected["date"].max())
+
+            min = min.replace(" 00:00:00+00:00", "")
+            max = max.replace(" 00:00:00+00:00", "")
+
+            out = ui.TagList(
+                ui.row(
+                    {"style": "padding-top: 20px;"},
+                    ui.column(
+                        4,
+                        ui.p(f"{min} to", ui.br(), f"{max}"),
+                    ),
+                    ui.column(
+                        4,
+                        ui.input_text("annotation", "", placeholder="Enter annotation"),
+                    ),
+                    ui.column(4, ui.input_action_button("annotate_button", "Submit")),
+                )
+            )
+            return out
+
+    @output
+    @render.data_frame
+    def annotations():
+        df = annotated_data().copy()
+        df["date"] = df["date"].dt.strftime("%Y-%m-%d")
+        df = df.loc[df["annotation"] != ""]
+        return df
+
+    @session.download(filename="data.csv")
+    def download():
+        yield annotated_data().to_csv()
+
+
+app = App(app_ui, server)
diff --git a/examples/annotation-export/boulder_temp.csv b/examples/annotation-export/boulder_temp.csv
new file mode 100644
index 000000000..b09620afb
--- /dev/null
+++ b/examples/annotation-export/boulder_temp.csv
@@ -0,0 +1,366 @@
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+2021-12-21T00:00:00Z,17.2
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+2021-12-23T00:00:00Z,17.2
+2021-12-24T00:00:00Z,12.8
+2021-12-25T00:00:00Z,12.2
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+2021-12-27T00:00:00Z,6.7
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+2021-12-30T00:00:00Z,6.7
+2021-12-31T00:00:00Z,6.7
diff --git a/examples/annotation-export/requirements.txt b/examples/annotation-export/requirements.txt
new file mode 100644
index 000000000..4695c7070
--- /dev/null
+++ b/examples/annotation-export/requirements.txt
@@ -0,0 +1,2 @@
+seaborn
+pandas