Add diagram

holoviz · Jun 1, 2020 · e20282f · e20282f
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diff --git a/examples/assets/diagram.png b/examples/assets/diagram.png
diff --git a/examples/homepage.ipynb b/examples/homepage.ipynb
@@ -6,14 +6,17 @@
    "source": [
     "**A high-level plotting API for the PyData ecosystem built on HoloViews.**\n",
     "\n",
+    "<img src=\"./assets/diagram.png\"  style=\"display: table; margin: 0 auto;\" width=\"50%\"></img>\n",
+    "\n",
     "The PyData ecosystem has a number of core Python data containers that allow users to work with a wide array of datatypes, including:\n",
     "\n",
-    "* [Pandas](http://pandas.pydata.org): DataFrame, Series (columnar/tabular data)\n",
-    "* [XArray](http://xarray.pydata.org): Dataset, DataArray (labelled multidimensional arrays)\n",
-    "* [Dask](http://dask.pydata.org): DataFrame, Series (distributed/out of core arrays and columnar data)\n",
-    "* [Streamz](http://streamz.readthedocs.io): DataFrame(s), Series(s) (streaming columnar data)\n",
-    "* [Intake](http://github.com/ContinuumIO/intake): DataSource (data catalogues)\n",
-    "* [GeoPandas](http://geopandas.org): GeoDataFrame (geometry data)\n",
+    "* [Pandas](https://pandas.pydata.org): DataFrame, Series (columnar/tabular data)\n",
+    "* [Rapids cuDF](https://docs.rapids.ai/api/cudf/stable/): GPU DataFrame, Series (columnar/tabular data)\n",
+    "* [Dask](https://dask.pydata.org): DataFrame, Series (distributed/out of core arrays and columnar data)\n",
+    "* [XArray](https://xarray.pydata.org): Dataset, DataArray (labelled multidimensional arrays)\n",
+    "* [Streamz](https://streamz.readthedocs.io): DataFrame(s), Series(s) (streaming columnar data)\n",
+    "* [Intake](https://github.com/ContinuumIO/intake): DataSource (data catalogues)\n",
+    "* [GeoPandas](https://geopandas.org): GeoDataFrame (geometry data)\n",
     "* [NetworkX](https://networkx.github.io/documentation/stable/): Graph (network graphs)\n",
     "\n",
     "Several of these libraries have the concept of a high-level plotting API that lets a user generate common plot types very easily. The native plotting APIs are generally built on [Matplotlib](http://matplotlib.org), which provides a solid foundation, but it means that users miss out on the benefits of modern, interactive plotting libraries for the web like [Bokeh](http://bokeh.pydata.org) and [HoloViews](http://holoviews.org).\n",