diff --git a/Pyvis/Pyvis_Create_a_network_visualization.ipynb b/Pyvis/Pyvis_Create_a_network_visualization.ipynb
index d5fc61bc02..405fe1adfb 100644
--- a/Pyvis/Pyvis_Create_a_network_visualization.ipynb
+++ b/Pyvis/Pyvis_Create_a_network_visualization.ipynb
@@ -38,7 +38,7 @@
     "tags": []
    },
    "source": [
-    "**Tags:** #python #naas #scheduler #network #snippet #analytics"
+    "**Tags:** #python #naas #asset #network #analytics"
    ]
   },
   {
@@ -60,7 +60,7 @@
     "tags": []
    },
    "source": [
-    "**Last update:** 2023-04-12 (Created: 2022-07-27)"
+    "**Last update:** 2023-12-01 (Created: 2022-07-27)"
    ]
   },
   {
@@ -82,7 +82,8 @@
     "tags": []
    },
    "source": [
-    "**References:** https://pyvis.readthedocs.io/en/latest/tutorial.html"
+    "**References:** \n",
+    "- [Pyvis documentation](https://pyvis.readthedocs.io/en/latest/tutorial.html)"
    ]
   },
   {
@@ -98,83 +99,98 @@
   },
   {
    "cell_type": "markdown",
-   "id": "87f5d344-ecdd-4054-8696-34ed7f96548c",
+   "id": "numeric-mediterranean",
    "metadata": {
     "papermill": {},
     "tags": []
    },
    "source": [
-    "### Import packages"
+    "### Import libraries"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "id": "6b708479-188a-41ca-9180-46b6328b6621",
+   "execution_count": null,
+   "id": "potential-surfing",
    "metadata": {
-    "jupyter": {
-     "source_hidden": true
-    },
     "papermill": {},
     "tags": []
    },
    "outputs": [],
    "source": [
-    "pip install pyvis"
+    "import naas\n",
+    "try:\n",
+    "    from pyvis.network import Network\n",
+    "except:\n",
+    "    !pip install pyvis --upgrade\n",
+    "    from pyvis.network import Network"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "numeric-mediterranean",
+   "id": "aggressive-trustee",
    "metadata": {
     "papermill": {},
     "tags": []
    },
    "source": [
-    "### Import library"
+    "### Setup variables\n",
+    "- `network_name`: Network name\n",
+    "- `height`: Network height\n",
+    "- `width`: Network width\n",
+    "- `bgcolor`: Network background color\n",
+    "- `font_color`: Network font color"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "id": "potential-surfing",
+   "execution_count": null,
+   "id": "continuous-melbourne",
    "metadata": {
-    "jupyter": {
-     "source_hidden": true
-    },
     "papermill": {},
     "tags": []
    },
    "outputs": [],
    "source": [
-    "import naas\n",
-    "from pyvis.network import Network"
+    "network_name = \"pyvis_example\"\n",
+    "height = \"750px\"\n",
+    "width = \"100%\"\n",
+    "bgcolor = \"#222222\"\n",
+    "font_color = \"white\""
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "aggressive-trustee",
+   "id": "registered-showcase",
    "metadata": {
     "papermill": {},
     "tags": []
    },
    "source": [
-    "### Setup the global variables for the network"
+    "## Model"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ed90822e-8456-47c8-937a-7d207d96993d",
+   "metadata": {},
+   "source": [
+    "### Initializing the Pyvis network"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "id": "continuous-melbourne",
-   "metadata": {
-    "papermill": {},
-    "tags": []
-   },
+   "execution_count": null,
+   "id": "14656059-6704-41fb-b8c4-315881efca42",
+   "metadata": {},
    "outputs": [],
    "source": [
-    "network_name = \"pyvis_example\"\n",
     "net = Network(\n",
-    "    notebook=True, height=\"750px\", width=\"100%\", bgcolor=\"#222222\", font_color=\"white\"\n",
+    "    notebook=True,\n",
+    "    height=height,\n",
+    "    width=width,\n",
+    "    bgcolor=bgcolor,\n",
+    "    font_color=font_color\n",
     ")"
    ]
   },
@@ -191,7 +207,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "id": "c11aae54-33b4-4f21-889a-988ddf28a079",
    "metadata": {
     "papermill": {},
@@ -232,7 +248,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "id": "ede1c7f7-cd29-49e2-be8a-db9484848959",
    "metadata": {
     "papermill": {},
@@ -271,17 +287,6 @@
     ")"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "id": "registered-showcase",
-   "metadata": {
-    "papermill": {},
-    "tags": []
-   },
-   "source": [
-    "## Model"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "tested-astrology",
@@ -295,7 +300,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "id": "crude-louisville",
    "metadata": {
     "papermill": {},
@@ -319,7 +324,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "id": "9cca845f-3a67-4e5f-9721-903970bee206",
    "metadata": {
     "papermill": {},
@@ -388,7 +393,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "id": "9c4e3b7b-6440-4844-8054-265f1aec65eb",
    "metadata": {
     "papermill": {},
@@ -413,7 +418,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "id": "db205965-a2dc-4541-ba8e-db3250d1cff0",
    "metadata": {
     "papermill": {},
@@ -466,4 +471,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
\ No newline at end of file
+}
diff --git a/Pyvis/Pyvis_Visualize_awesome_notebooks_network.ipynb b/Pyvis/Pyvis_Visualize_awesome_notebooks_network.ipynb
new file mode 100644
index 0000000000..815feb59e7
--- /dev/null
+++ b/Pyvis/Pyvis_Visualize_awesome_notebooks_network.ipynb
@@ -0,0 +1,407 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "latin-packing",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2021-02-23T14:22:16.610471Z",
+     "iopub.status.busy": "2021-02-23T14:22:16.610129Z",
+     "iopub.status.idle": "2021-02-23T14:22:16.627784Z",
+     "shell.execute_reply": "2021-02-23T14:22:16.626866Z",
+     "shell.execute_reply.started": "2021-02-23T14:22:16.610384Z"
+    },
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "<img width=\"8%\" alt=\"Pyvis.png\" src=\"https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/.github/assets/logos/Pyvis.png\" style=\"border-radius: 15%\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "compressed-wilson",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "# Pyvis - Visualize awesome notebooks graph network\n",
+    "<a href=\"https://app.naas.ai/user-redirect/naas/downloader?url=https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/Pyvis/Pyvis_Create_a_network_visualization.ipynb\" target=\"_parent\"><img src=\"https://naasai-public.s3.eu-west-3.amazonaws.com/Open_in_Naas_Lab.svg\"/></a><br><br><a href=\"https://bit.ly/3JyWIk6\">Give Feedback</a> | <a href=\"https://github.com/jupyter-naas/awesome-notebooks/issues/new?assignees=&labels=bug&template=bug_report.md&title=Pyvis+-+Create+a+network+visualization:+Error+short+description\">Bug report</a>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "religious-programmer",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "**Tags:** #python #naas #scheduler #network #snippet #analytics"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1fe9f56e-561c-4f52-aef8-b861c9462107",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "**Author:** [Jaime Dols Duxans](https://www.linkedin.com/in/duxans/)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9f4457c5-1377-4167-8528-fdb7449f2d2d",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "**Last update:** 2023-12-01 (Created: 2023-11-30)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "31ea7cdb-e10d-43fc-b026-f69249a59736",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "**Description:** With this notebook you can visualize all the awesome-notebooks templates as a graph network."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "162268ac-ed10-4f32-af82-ab5bd5b2bb9e",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "**References:** \n",
+    "- [Pyvis documentation](https://pyvis.readthedocs.io/en/latest/tutorial.html)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "distinguished-truth",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "## Input"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "numeric-mediterranean",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "### Import libraries"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "potential-surfing",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import naas\n",
+    "try:\n",
+    "    from pyvis.network import Network\n",
+    "except:\n",
+    "    !pip install pyvis --upgrade\n",
+    "    from pyvis.network import Network\n",
+    "import pandas as pd\n",
+    "import requests"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "09c7ee40-504b-4661-a7c6-013eee0e71af",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "### Setup variables\n",
+    "- `github_url`: Stores the URL to a JSON file hosted on GitHub.\n",
+    "- `solver`: The gravity model used in the visualization (choose and test your favourite)\n",
+    "- `network_name`: Network name\n",
+    "- `height`: Network height\n",
+    "- `width`: Network width\n",
+    "- `bgcolor`: Network background color\n",
+    "- `font_color`: Network font color"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e346d915-94dc-45a8-b9c2-6929dd4d998d",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "github_url = \"https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/templates.json\"\n",
+    "solver = 'force_atlas_2based'\n",
+    "network_name = \"pyvis_awesome-notebooks\"\n",
+    "height = \"1400px\"\n",
+    "width = \"100%\"\n",
+    "bgcolor = \"#222222\"\n",
+    "font_color = \"white\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "25015cf0-4ee4-418a-8371-a163d179d9e8",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "## Model"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d5697de1-307e-4beb-b99c-fc4af92d7fc8",
+   "metadata": {},
+   "source": [
+    "### Get templates from JSON"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f46c9e67-d9c5-4d5c-9e8a-e4beaaa895fb",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "def get_templates(url):\n",
+    "    res = requests.get(url)\n",
+    "    df =  pd.DataFrame(res.json())\n",
+    "    return df\n",
+    "\n",
+    "df_temp = get_templates(github_url)\n",
+    "print(\"Templates:\", len(df_temp))\n",
+    "df_temp.head(1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f5556230-702d-41df-a3b9-921a1e1cd766",
+   "metadata": {},
+   "source": [
+    "### Initializing the Pyvis network"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2d22f8ce-f051-410c-ba35-cff5509a2aa2",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "net = Network(\n",
+    "    notebook=True,\n",
+    "    height=height,\n",
+    "    width=width,\n",
+    "    bgcolor=bgcolor,\n",
+    "    font_color=font_color\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "527710df-4fa5-44de-aa20-ddcdd5846a1e",
+   "metadata": {},
+   "source": [
+    "### Create Pyvis network"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c11aae54-33b4-4f21-889a-988ddf28a079",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Physics solver. Choose one from Pyvis documentation  \n",
+    "net.force_atlas_2based()\n",
+    "\n",
+    "# Pull data\n",
+    "tools = list(df_temp['tool'])\n",
+    "images = list(df_temp['image_url'])\n",
+    "notebooks = list(df_temp['notebook'])\n",
+    "\n",
+    "# Create a dictionary of tools and images\n",
+    "tool_img = dict(zip(tools, images))\n",
+    "\n",
+    "# Add tool nodes\n",
+    "for tool in tools:\n",
+    "    if tool == 'Naas':\n",
+    "        net.add_node(tool, title=tool, image=tool_img[tool], shape='image', mass=30, size=150, level=1, fixed=True, x=0, y=0,physics=False)\n",
+    "    if tool == 'OpenAI':\n",
+    "        #this large node was bouncing around very fast, so I fixed it\n",
+    "        net.add_node(tool, title=tool, image=tool_img[tool], shape='image', size=60, level=1, fixed=True, x=-1000, y=2000, physics=False)\n",
+    "    else:\n",
+    "        net.add_node(tool, title=tool, image=tool_img[tool], shape='image',size=60,level=1, physics=False)\n",
+    "\n",
+    "# Add notebook nodes\n",
+    "for notebook in notebooks:\n",
+    "    net.add_node(notebook, title=notebook, size=30,level=2,color='#4d94db')\n",
+    "\n",
+    "# Add edges\n",
+    "for _, node_e in df_temp.iterrows():\n",
+    "    net.add_edge(node_e['tool'], node_e['notebook'], title=node_e['action'])\n",
+    "    \n",
+    "level_1_count = 0\n",
+    "level_2_count = 0\n",
+    "for node in net.nodes:\n",
+    "    if node['level'] == 1:\n",
+    "        level_1_count += 1\n",
+    "    else:\n",
+    "        level_2_count += 1\n",
+    "\n",
+    "print(\"Number of tool nodes: \", level_1_count)\n",
+    "print(\"Number of notebook nodes: \", level_2_count)\n",
+    "print(\"Total number of nodes: \", len(net.nodes) , \"\\n\")\n",
+    "print(\"Total number of edges: \", len(net.edges), \"\\n\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "lonely-pacific",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2021-07-02T23:32:10.789097Z",
+     "iopub.status.busy": "2021-07-02T23:32:10.788829Z",
+     "iopub.status.idle": "2021-07-02T23:32:10.796900Z",
+     "shell.execute_reply": "2021-07-02T23:32:10.796358Z",
+     "shell.execute_reply.started": "2021-07-02T23:32:10.789033Z"
+    },
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "## Output"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "890f7c86-b7bb-4f5d-9a1b-e492dd9580fd",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "### Show results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9c4e3b7b-6440-4844-8054-265f1aec65eb",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Saving the network to a HTML file in your workdir (optional)\n",
+    "#net.write_html(f\"{network_name}.html\")\n",
+    "\n",
+    "network = net.show(f\"{network_name}.html\")\n",
+    "network"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a28950bb-1d7d-4835-a83a-faac837ebc7c",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "### Share your output"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "39bcdd24-a9f7-4522-acc8-cbe22dfad9d8",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "naas.asset.add(f\"{network_name}.html\", {\"inline\": True})\n",
+    "\n",
+    "# -> Uncomment the line below to remove your asset\n",
+    "# naas.asset.delete()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  },
+  "naas": {
+   "notebook_id": "2df55afca82f21837a817a57c842dcf4460d0908883b76b3c64576ef8f09f864",
+   "notebook_path": "Pyvis/Pyvis_Create_a_network_visualization.ipynb"
+  },
+  "papermill": {
+   "default_parameters": {},
+   "environment_variables": {},
+   "parameters": {},
+   "version": "2.3.3"
+  },
+  "toc-autonumbering": false,
+  "toc-showmarkdowntxt": false,
+  "toc-showtags": false,
+  "widgets": {
+   "application/vnd.jupyter.widget-state+json": {
+    "state": {},
+    "version_major": 2,
+    "version_minor": 0
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}