diff --git a/dagrunner/utils/__init__.py b/dagrunner/utils/__init__.py
index f5a42c7..5fe00b5 100644
--- a/dagrunner/utils/__init__.py
+++ b/dagrunner/utils/__init__.py
@@ -19,6 +19,16 @@
 import dagrunner.utils._doc_styles as doc_styles
 
 
+def running_inside_ipython_notebook():
+    res = False
+    try:
+        from IPython import get_ipython
+    except ImportError:
+        pass
+    res = "IPKernelApp" in get_ipython().config
+    return res
+
+
 def as_iterable(obj):
     if obj is None:
         return []
diff --git a/dagrunner/utils/networkx.py b/dagrunner/utils/networkx.py
index 5eefa68..b7b9ba2 100644
--- a/dagrunner/utils/networkx.py
+++ b/dagrunner/utils/networkx.py
@@ -11,7 +11,7 @@
 
 import networkx as nx
 
-from . import as_iterable
+from . import as_iterable, running_inside_ipython_notebook
 from .visualisation import HTMLTable, MermaidGraph, MermaidHTML
 
 
@@ -310,11 +310,14 @@ def add_node(
     if output_filepath:
         MermaidHTML(mermaid, table).save(output_filepath)
     else:
-        import tempfile
+        if running_inside_ipython_notebook:
+            mermaid.display()
+        else:
+            import tempfile
 
-        with tempfile.NamedTemporaryFile(suffix=".html", delete=False) as f:
-            MermaidHTML(mermaid, table).save(f.name)
-            webbrowser.open(f.name)
+            with tempfile.NamedTemporaryFile(suffix=".html", delete=False) as f:
+                MermaidHTML(mermaid, table).save(f.name)
+                webbrowser.open(f.name)
 
 
 def visualise_graph(
diff --git a/dagrunner/utils/visualisation.py b/dagrunner/utils/visualisation.py
index 236f03c..b155825 100644
--- a/dagrunner/utils/visualisation.py
+++ b/dagrunner/utils/visualisation.py
@@ -5,8 +5,9 @@
 """
 Module responsible for scheduler independent graph visualisation
 """
-
+import base64
 import os
+import requests
 
 
 def _as_html(msg):
@@ -68,6 +69,36 @@ def add_connection(self, id1, id2):
 
     def __str__(self):
         return self.MERMAID_TEMPLATE.format(title=self._title, cont=self._cont)
+    
+    def display(self):
+        # in jupiter 7.1, we have native markdown support for mermaid
+        from IPython.display import Image, Markdown, display
+        import notebook
+
+        # Mermaid graph definition
+        graph = self.__str__()
+
+        notebook_version = tuple(map(int, notebook.__version__.split('.')))
+        if notebook_version >= (7, 1):
+            # Use native Mermaid rendering in Markdown
+            display(Markdown(graph))
+        else:
+            # Use the Mermaid API via mermaid.ink to render the graph as an image
+
+            # Encode the graph for use in the Mermaid API
+            graphbytes = graph.encode("ascii")
+            base64_bytes = base64.b64encode(graphbytes)
+            base64_string = base64_bytes.decode("ascii")
+
+            # Fetch the rendered image from the Mermaid API
+            image_url = f"https://mermaid.ink/img/{base64_string}"
+            response = requests.get(image_url)
+
+            # Display the image directly in the notebook
+            if response.status_code == 200:
+                display(Image(response.content))
+            else:
+                print(f"Failed to fetch the image. Status code: {response.status_code}")
 
 
 class MermaidHTML:
diff --git a/docs/demo.ipynb b/docs/demo.ipynb
index 620b0d1..6dce224 100644
--- a/docs/demo.ipynb
+++ b/docs/demo.ipynb
@@ -240,25 +240,25 @@
       " (Node(step='step4', leadtime=3600), Node(step='step5', leadtime=3600))]\n",
       "\n",
       "settings:\n",
-      "{Node(step='step1', leadtime=0): {'call': (<function concatenate_id at 0x7f8c5defc0e0>,\n",
+      "{Node(step='step1', leadtime=0): {'call': (<function concatenate_id at 0x7fce88488720>,\n",
       "                                           {'id': 1})},\n",
-      " Node(step='step1', leadtime=3600): {'call': (<function concatenate_id at 0x7f8c5defc0e0>,\n",
+      " Node(step='step1', leadtime=3600): {'call': (<function concatenate_id at 0x7fce88488720>,\n",
       "                                              {'id': 1})},\n",
-      " Node(step='step2', leadtime=0): {'call': (<function concatenate_id at 0x7f8c5defc0e0>,\n",
+      " Node(step='step2', leadtime=0): {'call': (<function concatenate_id at 0x7fce88488720>,\n",
       "                                           {'id': 2})},\n",
-      " Node(step='step2', leadtime=3600): {'call': (<function concatenate_id at 0x7f8c5defc0e0>,\n",
+      " Node(step='step2', leadtime=3600): {'call': (<function concatenate_id at 0x7fce88488720>,\n",
       "                                              {'id': 2})},\n",
-      " Node(step='step3', leadtime=0): {'call': (<function concatenate_id at 0x7f8c5defc0e0>,\n",
+      " Node(step='step3', leadtime=0): {'call': (<function concatenate_id at 0x7fce88488720>,\n",
       "                                           {'id': 3})},\n",
-      " Node(step='step3', leadtime=3600): {'call': (<function concatenate_id at 0x7f8c5defc0e0>,\n",
+      " Node(step='step3', leadtime=3600): {'call': (<function concatenate_id at 0x7fce88488720>,\n",
       "                                              {'id': 3})},\n",
-      " Node(step='step4', leadtime=0): {'call': (<function concatenate_id at 0x7f8c5defc0e0>,\n",
+      " Node(step='step4', leadtime=0): {'call': (<function concatenate_id at 0x7fce88488720>,\n",
       "                                           {'id': 4})},\n",
-      " Node(step='step4', leadtime=3600): {'call': (<function concatenate_id at 0x7f8c5defc0e0>,\n",
+      " Node(step='step4', leadtime=3600): {'call': (<function concatenate_id at 0x7fce88488720>,\n",
       "                                              {'id': 4})},\n",
-      " Node(step='step5', leadtime=0): {'call': (<function concatenate_id at 0x7f8c5defc0e0>,\n",
+      " Node(step='step5', leadtime=0): {'call': (<function concatenate_id at 0x7fce88488720>,\n",
       "                                           {'id': 5})},\n",
-      " Node(step='step5', leadtime=3600): {'call': (<function concatenate_id at 0x7f8c5defc0e0>,\n",
+      " Node(step='step5', leadtime=3600): {'call': (<function concatenate_id at 0x7fce88488720>,\n",
       "                                              {'id': 5})}}\n"
      ]
     }
@@ -311,26 +311,33 @@
     "graph = ExecuteGraph((EDGES, SETTINGS), scheduler=\"single-threaded\", verbose=True)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "1ee17397",
+   "metadata": {},
+   "source": [
+    "### Graph visualisation"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "8e752255",
    "metadata": {},
    "source": [
-    "We can access our networkx graph from the 'nxgraph' property on our new graph object.\n",
-    "Let's do that now and visualise our networkx graph to see what we have defined."
+    "We provide some out-of-the-box capability to easily visualise networkx graphs (using the javascript mermaid library)."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "id": "ce701d71",
+   "execution_count": 6,
+   "id": "4bd994da",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
+       "<IPython.core.display.Image object>"
       ]
      },
      "metadata": {},
@@ -338,9 +345,7 @@
     }
    ],
    "source": [
-    "import matplotlib.pyplot as plt\n",
-    "import networkx as nx\n",
-    "nx.draw(graph.nxgraph, with_labels=True)"
+    "graph.visualise()"
    ]
   },
   {
@@ -348,8 +353,22 @@
    "id": "f51bec17",
    "metadata": {},
    "source": [
-    "We can clearly see the two distinct branches for execution, one for each leadtime that we defined.\n",
-    "\n",
+    "We can clearly see the two distinct branches for execution, one for each leadtime that we defined."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0be04ad0",
+   "metadata": {},
+   "source": [
+    "### Execution"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e4916a57",
+   "metadata": {},
+   "source": [
     "Now, let's execute this graph and seeing how things progress through the execution (we specified `verbose=True` above)."
    ]
   },