diff --git a/hvplot/fugue.py b/hvplot/fugue.py
new file mode 100644
index 000000000..65a18ee69
--- /dev/null
+++ b/hvplot/fugue.py
@@ -0,0 +1,62 @@
+"""
+Experimental support for fugue.
+"""
+from typing import Any, Dict, Tuple
+
+import panel as _pn
+
+from . import hvPlotTabular, post_patch
+from .util import _fugue_ipython
+
+def patch(name="hvplot", extension="bokeh", logo=False):
+    try:
+        from fugue import DataFrames, Outputter
+        from fugue.extensions import namespace_candidate, parse_outputter
+    except:
+        raise ImportError(
+            'Could not add fugue support as it could not be imported. '
+            'Please make sure you have installed fugue in your environment.'
+        )
+
+    import hvplot.pandas  # noqa: F401
+
+    class _Visualize(Outputter):
+        def __init__(self, func: str) -> None:
+            super().__init__()
+            self._func = func
+            getattr(hvPlotTabular, func)  # ensure the func exists
+
+        def process(self, dfs: DataFrames) -> None:
+            """
+            Process the dataframes and output the result as
+            a pn.Column.
+
+            Parameters:
+            -----------
+            dfs: fugue.DataFrames
+            """
+            charts = []
+            for df in dfs.values():
+                params = dict(self.params)
+                opts: Dict[str, Any] = params.pop("opts", {})
+                chart = getattr(df.as_pandas().hvplot, self._func)(**params).opts(**opts)
+                charts.append(chart)
+            col = _pn.Column(*charts)
+            try:
+                if not _fugue_ipython:
+                    get_ipython()
+            except NameError:
+                col.show()  # in script
+            else:
+                from IPython.display import display
+                display(col)  # in notebook
+
+
+    @parse_outputter.candidate(namespace_candidate(name, lambda x: isinstance(x, str)))
+    def _parse_hvplot(obj: Tuple[str, str]) -> Outputter:
+        return _Visualize(obj[1])
+
+    post_patch(extension, logo)
+
+
+patch()
diff --git a/hvplot/tests/testfugue.py b/hvplot/tests/testfugue.py
new file mode 100644
index 000000000..7d4fe014d
--- /dev/null
+++ b/hvplot/tests/testfugue.py
@@ -0,0 +1,46 @@
+"""Fugue test suite"""
+
+import hvplot
+import pandas as pd
+import pytest
+
+# Patch required before importing hvplot.fugue
+hvplot.util._fugue_ipython = True
+
+try:
+    import fugue.api as fa
+    import hvplot.fugue  # noqa: F401
+except:
+    pytest.skip(allow_module_level=True)
+
+
+@pytest.fixture
+def table():
+    df = pd.DataFrame(
+        {
+            "g": ["a", "b", "a", "b", "a", "b"],
+            "x": [1, 2, 3, 4, 5, 6],
+            "y": [1, 2, 3, 4, 5, 6],
+        }
+    )
+    return df
+
+
+def test_fugure_ipython_line(table, capsys):
+    """hvplot works with Fugue"""
+    fa.fugue_sql(
+        """
+        OUTPUT table USING hvplot:line(
+            x="x",
+            y="y",
+            by="g",
+            size=100,
+            opts={"width": 500, "height": 500}
+        )
+        """
+    )
+    # Check that the output contains the following:
+    # Column
+    #     [0] HoloViews(NdOverlay)
+    output = capsys.readouterr().out
+    assert output == 'Column\n    [0] HoloViews(NdOverlay)\n'
diff --git a/hvplot/util.py b/hvplot/util.py
index 297b7cea7..a862d348e 100644
--- a/hvplot/util.py
+++ b/hvplot/util.py
@@ -25,7 +25,7 @@
 bokeh_version = Version(bokeh.__version__)
 bokeh3 = bokeh_version >= Version("3.0")
 param2 = Version(param.__version__) >= Version("2.0rc4")
-
+_fugue_ipython = None  # To be set to True in tests to mock ipython
 
 def with_hv_extension(func, extension='bokeh', logo=False):
     """If hv.extension is not loaded, load before calling function"""
diff --git a/setup.py b/setup.py
index 63f1d95b1..06cd312ca 100644
--- a/setup.py
+++ b/setup.py
@@ -62,6 +62,7 @@ def get_setup_version(reponame):
     'ipywidgets',
     'dask',
     'polars',
+    'fugue',
 ]
 
 # Dependencies required to run the notebooks