| Name | yfiles-jupyter-graphs JSON |
| Version |
1.9.0
JSON |
| download |
| home_page | None |
| Summary | A diagram visualization extension for JupyterLab and Jupyter Notebooks powered by yFiles for HTML |
| upload_time | 2024-11-04 10:44:32 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | # yWorks GmbH - yFiles Graphs for Jupyter Free License Version 1.1, April 2022 # TERMS AND CONDITIONS FOR USE AND DISTRIBUTION ## DEFINITIONS **"License"** shall mean the terms and conditions for use and distribution as defined by this document. **"Licensor"** shall mean the copyright owner yWorks GmbH that is granting the License. **"You"** shall mean an individual or legal entity exercising the rights granted by this License. **"Software"** shall mean yFiles Graphs for Jupyter Prebuilt Extension. **"Jupyter System"** shall refer to both a JupyterLab software system as well as Jupyter Notebook software system. 1. **LICENSE GRANT** 1.1. **Title.** The Software and all copies thereof are proprietary to Licensor (yWorks GmbH) and title thereto remains in Licensor (yWorks GmbH), at all times. 1.2. **All Use.** You are granted a perpetual, worldwide, non-exclusive, no-charge, royalty-free, non-transferable license to install and dynamically use the Software in your browser on top of your Jupyter System on a per-user level, provided that the following conditions are met: 1. **No-Wrapping.** The Software may not be used as part of an automated process or outside of the Jupyter System. You may not expose the functionality provided by the Software in a way that enables a third party to use it. This especially means that you may not expose an API to a third party that will allow them to access functionality provided by the Software. 2. **No-Reverse-Engineering.** You are not allowed to reverse engineer, decompile, de-obfuscate or otherwise attempt to derive the de-obfuscated source code of Software, create derivative works, modify, translate, or disassemble the Software, unless and only to the extent that such activity is expressly permitted by applicable lawor by this License. 3. **No-Distribution.** You may not sell, rent, loan, or otherwise encumber or transfer the Software in whole or in part, to a third party, except as expressly granted herein. You may not reproduce or redistribute copies of the Software in any medium. 4. **Trademark Notices.** You may not remove, alter, or obscure any confidentiality or proprietary notices (including copyright and trademark notices) of yWorks or its suppliers on, in, or displayed by the Software. 1.3 **License Breach.** If You fail to comply with any term of this License,this License shall be revoked and You shall cease use of, and destroy, all copies of the Software. 2. **ANALYTICS FEATURES** The Software may include analytics features to analyze data that help Licensor improve the included layout algorithms, user experience, and products and services in general. These analytics features may send anonymized usage statistics to Licensor, including but not limited to information about what Software features are used and what types of graphs are laid out, as well as anonymized graph data, including but not limited to label texts, images, or icons that are replaced with placeholder data. The provided data does not contain or associate with any personal information, it does not allow to reconstruct the original contents and Licensor does not use them to identify any individual patterns of use or behavior. 3. **DISCLAIMER OF WARRANTY** Unless required by applicable law or agreed to in writing, Licensor provides the Software on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for determining the appropriateness of using the Software and assume any risks associated with your exercise of rights under this License. 4. **LIMITATION OF LIABILITY** In no event and under no legal theory, whether in tort (including negligence), contract, or otherwise, unless required by applicable law (such as deliberate and grossly negligent acts) or agreed to in writing, shall Licensor be liable to You for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this License or out of the use or inability to use the Software (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if Licensor has been advised of the possibility of such damages. 5. **APPLICABLE LAW AND COURT OF JURISDICTION** This Agreement is made and shall be construed in accordance with the laws of Germany. Court of Jurisdiction is Tübingen, Germany. |
| keywords |
jupyter
jupyterlab
jupyterlab3
diagrams
graph
ipython
visualization
widgets
yfiles
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
<p align="center">
<img src="https://raw.githubusercontent.com/yWorks/yfiles-jupyter-graphs/main/screenshots/yfiles-jupyter-graphs-logo.svg" alt='yFiles Graphs for Jupyter logo' width="400px" style='max-width: 400px'>
</p>
[](https://pypi.org/project/yfiles-jupyter-graphs/) [](https://pypi.org/project/yfiles-jupyter-graphs/)
A graph diagram visualization widget for Jupyter Notebooks and Labs powered by [yFiles for HTML](https://www.yworks.com/yfiles-overview?utm_campaign=yfiles4jupyter&utm_source=github&utm_medium=readme).
Easily visualize graphs from various sources: [Networkx](https://networkx.org/)✅, [igraph](https://igraph.org/python/)✅, [neo4j](https://pypi.org/project/neo4j/)✅, [pygraphviz](https://pygraphviz.github.io/)✅, and any structured Python dictionaries and lists. Many more formats supported indirectly via [Networkx imports](https://networkx.org/documentation/stable/reference/readwrite/index.html#reading-and-writing-graphs)!
The widget is supported in the default Jupyter environments, but also in other environments like VS Code or Google Colab.
[](https://player.vimeo.com/video/715615671)
Try the [Introduction](https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/01_introduction.ipynb) notebook on Google Colab [here](https://colab.research.google.com/github/yWorks/yfiles-jupyter-graphs/blob/main/examples/01_introduction.ipynb).
## `yfiles-jupyter-graphs-for-neo4j`
For working with Neo4j databases, we
built [yfiles-jupyter-graphs-for-neo4j](https://github.com/yWorks/yfiles-jupyter-graphs-for-neo4j/), an open-source
extension on top of `yfiles-jupyter-graphs`. This extension provides an easier Python interface for the
driver and allows direct configuration of data mappings depending on the label or type of the node or relationship.
So if you are planning to use the extension with Neo4j databases, consider
using [yfiles-jupyter-graphs-for-neo4j](https://github.com/yWorks/yfiles-jupyter-graphs-for-neo4j/).
## Supported Environments
- [JupyterLab or Jupyter Notebook](https://jupyter.org/)
- [Visual Studio Code](https://code.visualstudio.com/)
- [Google Colaboratory](https://colab.research.google.com/)
- [Google Vertex AI Workbench](https://cloud.google.com/vertex-ai)
- [Google Dataproc](https://cloud.google.com/dataproc)
- [Azure Machine Learning Studio Notebooks](https://azure.microsoft.com/en-us/products/machine-learning/)
- [Amazon SageMaker](https://aws.amazon.com/sagemaker/)
- [Kaggle](https://www.kaggle.com)
- Just try it in your preferred platform for Jupyter notebooks
## Requirements
- [python](https://www.python.org/) >= 3.6
- [jupyter](https://jupyter.org/install) notebook or lab
- [ipywidgets](https://github.com/jupyter-widgets/ipywidgets) >= 7.6.0
## Installation
If you already have Jupyter installed, just `pip install` the prebuilt extension from the [Python Package Index](https://pypi.org/).
```bash
pip install yfiles_jupyter_graphs
```
If you want to start clean and get a fresh new Jupyter Lab with the widget readily installed and available, you can use [`docker`](https://www.docker.com/), too:
Form a shell, create a docker image that contains all that is required:
```bash
mkdir yfiles-jupyter && cd yfiles-jupyter
echo -e "FROM jupyter/scipy-notebook\nRUN pip install yfiles-jupyter-graphs" > Dockerfile
docker build -t yfiles-jupyter-graphs-on-docker .
```
(the above has been tested successfully with `scipy-notebook:lab-3.4.7` and `yfiles-jupyter-graphs==1.2.1`), but we want to make sure that it will also work with upcoming versions - file an issue if it doesn't work for you!)
You can then create a fresh new instance of your server from this image like so:
```bash
docker run -it -p 8888:8888 --name yfiles-jupyter yfiles-jupyter-graphs-on-docker
```
## Usage
In a notebook which has the wiget installed in the server, in a Python cell, you can then do this:
```python
"""Execute in jupyter notebook or jupyter lab"""
from yfiles_jupyter_graphs import GraphWidget
# shows empty widget
GraphWidget()
```
You can find the full documentation [here](https://yworks.github.io/yfiles-jupyter-graphs/).
## Features
<table>
<tr>
<td><a href="https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/28_little-alchemy_example.ipynb"><img src="https://raw.githubusercontent.com/yWorks/yfiles-jupyter-graphs/main/screenshots/neighborhood.png" title="See Node Neighborhood" alt="neighborhood sidebar"></a>
<a href="https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/28_little-alchemy_example.ipynb">See Node Neighborhood</a><br><a target="_blank" href="https://colab.research.google.com/github/yWorks/yfiles-jupyter-graphs/blob/main/examples/28_little-alchemy_example.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a></td>
<td><a href="https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/22_layouts.ipynb"><img src="https://raw.githubusercontent.com/yWorks/yfiles-jupyter-graphs/main/screenshots/layouts.png" title="Choose Graph Layout" alt="layouts"></a>
<a href="https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/22_layouts.ipynb">Choose Graph Layout</a><br><a target="_blank" href="https://colab.research.google.com/github/yWorks/yfiles-jupyter-graphs/blob/main/examples/22_layouts.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a></td>
</tr>
<tr>
<td><a href="https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/23_sidebar.ipynb"><img src="https://raw.githubusercontent.com/yWorks/yfiles-jupyter-graphs/main/screenshots/data.png" title="Investigate Nodes and Edges Data" alt="data sidebar"></a>
<a href="https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/23_sidebar.ipynb">Investigate Nodes or Edges Data</a><br><a target="_blank" href="https://colab.research.google.com/github/yWorks/yfiles-jupyter-graphs/blob/main/examples/23_sidebar.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a></td>
<td><a href="https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/23_sidebar.ipynb"><img src="https://raw.githubusercontent.com/yWorks/yfiles-jupyter-graphs/main/screenshots/search.png" title="Search for Nodes or Edges" alt="search sidebar"></a>
<a href="https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/23_sidebar.ipynb">Search for Nodes or Edges</a><br><a target="_blank" href="https://colab.research.google.com/github/yWorks/yfiles-jupyter-graphs/blob/main/examples/23_sidebar.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a></td>
</tr>
<tr>
<td><a href="https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/13_networkx_import.ipynb"><img src="https://raw.githubusercontent.com/yWorks/yfiles-jupyter-graphs/main/screenshots/importer.png" title="Import Graph Data" alt="importer"></a>
<a href="https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/13_networkx_import.ipynb">Import Graph Data</a><br><a target="_blank" href="https://colab.research.google.com/github/yWorks/yfiles-jupyter-graphs/blob/main/examples/13_networkx_import.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a></td>
<td><a href="https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/03_color_mapping.ipynb"><img src="https://raw.githubusercontent.com/yWorks/yfiles-jupyter-graphs/main/screenshots/element_color_mapping.png" title="Make Data Dependent Property Changes" alt="element color mapping"></a>
<a href="https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/03_color_mapping.ipynb">Make Data Dependent Property Changes</a><br><a target="_blank" href="https://colab.research.google.com/github/yWorks/yfiles-jupyter-graphs/blob/main/examples/03_color_mapping.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a></td>
</tr>
<tr>
<td><a href="https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/29_heat_mapping.ipynb"><img src="https://raw.githubusercontent.com/yWorks/yfiles-jupyter-graphs/main/screenshots/heat_mapping.png" title="Define a heatmap background" alt="heat mapping"></a>
<a href="https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/29_heat_mapping.ipynb">Define a Heatmap Background</a><br><a target="_blank" href="https://colab.research.google.com/github/yWorks/yfiles-jupyter-graphs/blob/main/examples/29_heat_mapping.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a></td>
<td><a href="https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/30_leaflet_mapping.ipynb"><img src="https://raw.githubusercontent.com/yWorks/yfiles-jupyter-graphs/main/screenshots/leaflet_map.png" title="Use a Map background" alt="leaflet mapping"></a>
<a href="https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/30_leaflet_mapping.ipynb">Use a Map Background</a><br><a target="_blank" href="https://colab.research.google.com/github/yWorks/yfiles-jupyter-graphs/blob/main/examples/30_leaflet_mapping.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a></td>
</tr>
<tr>
<td><a href="https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/31_nested_graphs.ipynb"><img src="https://raw.githubusercontent.com/yWorks/yfiles-jupyter-graphs/main/screenshots/nesting.png" title="Visualize nested data" alt="nested graph"></a>
<a href="https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/31_nested_graphs.ipynb">Visualize nested data</a><br><a target="_blank" href="https://colab.research.google.com/github/yWorks/yfiles-jupyter-graphs/blob/main/examples/31_nested_graphs.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a></td>
</tr>
</table>
For example code look [here](https://github.com/yWorks/yfiles-jupyter-graphs/tree/master/examples).
### Google Colab Examples
You can try the [example notebooks](https://github.com/yWorks/yfiles-jupyter-graphs/tree/master/examples) in Google Colab by
opening GitHub notebook URL: `https://colab.research.google.com/github/yWorks/yfiles-jupyter-graphs/blob/main/examples/<notebook.ipynb>`.
For example the [Introduction](https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/01_introduction.ipynb) notebook: <br>
https://colab.research.google.com/github/yWorks/yfiles-jupyter-graphs/blob/main/examples/01_introduction.ipynb
## Documentation
You can find the documentation [here](https://yworks.github.io/yfiles-jupyter-graphs/).
## Code of Conduct
This project and everyone participating in it is governed by the [Code of Conduct](https://github.com/yWorks/yfiles-jupyter-graphs/blob/master/CODE_OF_CONDUCT.md).
By participating, you are expected to uphold this code.
Please report unacceptable behavior to [contact@yworks.com](mailto:contact@yworks.com).
## Feedback
This widget is by no means perfect.
If you find something is not working as expected
we are glad to receive an issue report from you.
Please make sure to [search for existing issues](https://github.com/yWorks/yfiles-jupyter-graphs/search?q=is%3Aissue+repo%3AyWorks%2Fyfiles-jupyter-graphs&type=issues) first
and check if the issue is not an unsupported feature or known issue.
If you did not find anything related, report a new issue with necessary information.
Please also provide a clear and descriptive title and stick to the issue templates.
See [issues](https://github.com/yWorks/yfiles-jupyter-graphs/issues).
## Dependencies
- [yFiles for HTML](https://www.yworks.com/yfiles)
- [@ctrl/tinycolor](https://github.com/scttcper/tinycolor)
- [@jupyter-widgets/base](https://github.com/jupyter-widgets/ipywidgets)
- [@mdi/js](https://github.com/Templarian/MaterialDesign-JS)
- [Vue](https://vuejs.org/)
- [vue-json-viewer](https://github.com/chenfengjw163/vue-json-viewer)
## License
See [LICENSE](https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/LICENSE.md) file.
Raw data
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"requires_python": ">=3.9",
"maintainer_email": null,
"keywords": "Jupyter, JupyterLab, JupyterLab3, diagrams, graph, ipython, visualization, widgets, yfiles",
"author": null,
"author_email": "yWorks Support Team <yfileshtml@yworks.com>",
"download_url": "https://files.pythonhosted.org/packages/ef/72/d7c815330d0463a4756830802554cef0a25cbd5d948b5f938a4c4c02fd0f/yfiles_jupyter_graphs-1.9.0.tar.gz",
"platform": null,
"description": "<p align=\"center\">\n <img src=\"https://raw.githubusercontent.com/yWorks/yfiles-jupyter-graphs/main/screenshots/yfiles-jupyter-graphs-logo.svg\" alt='yFiles Graphs for Jupyter logo' width=\"400px\" style='max-width: 400px'>\n</p>\n\n[](https://pypi.org/project/yfiles-jupyter-graphs/) [](https://pypi.org/project/yfiles-jupyter-graphs/)\n\nA graph diagram visualization widget for Jupyter Notebooks and Labs powered by [yFiles for HTML](https://www.yworks.com/yfiles-overview?utm_campaign=yfiles4jupyter&utm_source=github&utm_medium=readme).\n\nEasily visualize graphs from various sources: [Networkx](https://networkx.org/)\u2705, [igraph](https://igraph.org/python/)\u2705, [neo4j](https://pypi.org/project/neo4j/)\u2705, [pygraphviz](https://pygraphviz.github.io/)\u2705, and any structured Python dictionaries and lists. Many more formats supported indirectly via [Networkx imports](https://networkx.org/documentation/stable/reference/readwrite/index.html#reading-and-writing-graphs)!\n\nThe widget is supported in the default Jupyter environments, but also in other environments like VS Code or Google Colab.\n\n[](https://player.vimeo.com/video/715615671)\n\nTry the [Introduction](https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/01_introduction.ipynb) notebook on Google Colab [here](https://colab.research.google.com/github/yWorks/yfiles-jupyter-graphs/blob/main/examples/01_introduction.ipynb).\n\n## `yfiles-jupyter-graphs-for-neo4j`\n\nFor working with Neo4j databases, we\nbuilt [yfiles-jupyter-graphs-for-neo4j](https://github.com/yWorks/yfiles-jupyter-graphs-for-neo4j/), an open-source\nextension on top of `yfiles-jupyter-graphs`. This extension provides an easier Python interface for the\ndriver and allows direct configuration of data mappings depending on the label or type of the node or relationship.\n\nSo if you are planning to use the extension with Neo4j databases, consider\nusing [yfiles-jupyter-graphs-for-neo4j](https://github.com/yWorks/yfiles-jupyter-graphs-for-neo4j/).\n\n## Supported Environments\n- [JupyterLab or Jupyter Notebook](https://jupyter.org/)\n- [Visual Studio Code](https://code.visualstudio.com/)\n- [Google Colaboratory](https://colab.research.google.com/)\n- [Google Vertex AI Workbench](https://cloud.google.com/vertex-ai)\n- [Google Dataproc](https://cloud.google.com/dataproc)\n- [Azure Machine Learning Studio Notebooks](https://azure.microsoft.com/en-us/products/machine-learning/)\n- [Amazon SageMaker](https://aws.amazon.com/sagemaker/)\n- [Kaggle](https://www.kaggle.com)\n- Just try it in your preferred platform for Jupyter notebooks\n\n## Requirements\n- [python](https://www.python.org/) >= 3.6\n- [jupyter](https://jupyter.org/install) notebook or lab\n- [ipywidgets](https://github.com/jupyter-widgets/ipywidgets) >= 7.6.0\n\n## Installation\n\nIf you already have Jupyter installed, just `pip install` the prebuilt extension from the [Python Package Index](https://pypi.org/).\n\n```bash\npip install yfiles_jupyter_graphs\n```\n\nIf you want to start clean and get a fresh new Jupyter Lab with the widget readily installed and available, you can use [`docker`](https://www.docker.com/), too:\n\nForm a shell, create a docker image that contains all that is required:\n\n```bash\nmkdir yfiles-jupyter && cd yfiles-jupyter\necho -e \"FROM jupyter/scipy-notebook\\nRUN pip install yfiles-jupyter-graphs\" > Dockerfile\ndocker build -t yfiles-jupyter-graphs-on-docker .\n```\n\n(the above has been tested successfully with `scipy-notebook:lab-3.4.7` and `yfiles-jupyter-graphs==1.2.1`), but we want to make sure that it will also work with upcoming versions - file an issue if it doesn't work for you!)\n\nYou can then create a fresh new instance of your server from this image like so:\n\n```bash\ndocker run -it -p 8888:8888 --name yfiles-jupyter yfiles-jupyter-graphs-on-docker\n```\n\n## Usage\n\nIn a notebook which has the wiget installed in the server, in a Python cell, you can then do this:\n\n```python\n\"\"\"Execute in jupyter notebook or jupyter lab\"\"\"\nfrom yfiles_jupyter_graphs import GraphWidget\n# shows empty widget\nGraphWidget()\n```\n\nYou can find the full documentation [here](https://yworks.github.io/yfiles-jupyter-graphs/).\n\n## Features\n<table>\n <tr>\n <td><a href=\"https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/28_little-alchemy_example.ipynb\"><img src=\"https://raw.githubusercontent.com/yWorks/yfiles-jupyter-graphs/main/screenshots/neighborhood.png\" title=\"See Node Neighborhood\" alt=\"neighborhood sidebar\"></a>\n <a href=\"https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/28_little-alchemy_example.ipynb\">See Node Neighborhood</a><br><a target=\"_blank\" href=\"https://colab.research.google.com/github/yWorks/yfiles-jupyter-graphs/blob/main/examples/28_little-alchemy_example.ipynb\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a></td>\n <td><a href=\"https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/22_layouts.ipynb\"><img src=\"https://raw.githubusercontent.com/yWorks/yfiles-jupyter-graphs/main/screenshots/layouts.png\" title=\"Choose Graph Layout\" alt=\"layouts\"></a>\n <a href=\"https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/22_layouts.ipynb\">Choose Graph Layout</a><br><a target=\"_blank\" href=\"https://colab.research.google.com/github/yWorks/yfiles-jupyter-graphs/blob/main/examples/22_layouts.ipynb\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a></td>\n </tr>\n <tr>\n <td><a href=\"https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/23_sidebar.ipynb\"><img src=\"https://raw.githubusercontent.com/yWorks/yfiles-jupyter-graphs/main/screenshots/data.png\" title=\"Investigate Nodes and Edges Data\" alt=\"data sidebar\"></a>\n <a href=\"https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/23_sidebar.ipynb\">Investigate Nodes or Edges Data</a><br><a target=\"_blank\" href=\"https://colab.research.google.com/github/yWorks/yfiles-jupyter-graphs/blob/main/examples/23_sidebar.ipynb\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a></td>\n <td><a href=\"https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/23_sidebar.ipynb\"><img src=\"https://raw.githubusercontent.com/yWorks/yfiles-jupyter-graphs/main/screenshots/search.png\" title=\"Search for Nodes or Edges\" alt=\"search sidebar\"></a>\n <a href=\"https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/23_sidebar.ipynb\">Search for Nodes or Edges</a><br><a target=\"_blank\" href=\"https://colab.research.google.com/github/yWorks/yfiles-jupyter-graphs/blob/main/examples/23_sidebar.ipynb\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a></td>\n </tr>\n <tr>\n <td><a href=\"https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/13_networkx_import.ipynb\"><img src=\"https://raw.githubusercontent.com/yWorks/yfiles-jupyter-graphs/main/screenshots/importer.png\" title=\"Import Graph Data\" alt=\"importer\"></a>\n <a href=\"https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/13_networkx_import.ipynb\">Import Graph Data</a><br><a target=\"_blank\" href=\"https://colab.research.google.com/github/yWorks/yfiles-jupyter-graphs/blob/main/examples/13_networkx_import.ipynb\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a></td>\n <td><a href=\"https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/03_color_mapping.ipynb\"><img src=\"https://raw.githubusercontent.com/yWorks/yfiles-jupyter-graphs/main/screenshots/element_color_mapping.png\" title=\"Make Data Dependent Property Changes\" alt=\"element color mapping\"></a>\n <a href=\"https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/03_color_mapping.ipynb\">Make Data Dependent Property Changes</a><br><a target=\"_blank\" href=\"https://colab.research.google.com/github/yWorks/yfiles-jupyter-graphs/blob/main/examples/03_color_mapping.ipynb\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a></td>\n </tr>\n <tr>\n <td><a href=\"https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/29_heat_mapping.ipynb\"><img src=\"https://raw.githubusercontent.com/yWorks/yfiles-jupyter-graphs/main/screenshots/heat_mapping.png\" title=\"Define a heatmap background\" alt=\"heat mapping\"></a>\n <a href=\"https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/29_heat_mapping.ipynb\">Define a Heatmap Background</a><br><a target=\"_blank\" href=\"https://colab.research.google.com/github/yWorks/yfiles-jupyter-graphs/blob/main/examples/29_heat_mapping.ipynb\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a></td>\n <td><a href=\"https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/30_leaflet_mapping.ipynb\"><img src=\"https://raw.githubusercontent.com/yWorks/yfiles-jupyter-graphs/main/screenshots/leaflet_map.png\" title=\"Use a Map background\" alt=\"leaflet mapping\"></a>\n <a href=\"https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/30_leaflet_mapping.ipynb\">Use a Map Background</a><br><a target=\"_blank\" href=\"https://colab.research.google.com/github/yWorks/yfiles-jupyter-graphs/blob/main/examples/30_leaflet_mapping.ipynb\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a></td>\n </tr>\n <tr>\n <td><a href=\"https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/31_nested_graphs.ipynb\"><img src=\"https://raw.githubusercontent.com/yWorks/yfiles-jupyter-graphs/main/screenshots/nesting.png\" title=\"Visualize nested data\" alt=\"nested graph\"></a>\n <a href=\"https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/31_nested_graphs.ipynb\">Visualize nested data</a><br><a target=\"_blank\" href=\"https://colab.research.google.com/github/yWorks/yfiles-jupyter-graphs/blob/main/examples/31_nested_graphs.ipynb\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a></td>\n </tr>\n</table>\n\nFor example code look [here](https://github.com/yWorks/yfiles-jupyter-graphs/tree/master/examples).\n\n### Google Colab Examples\nYou can try the [example notebooks](https://github.com/yWorks/yfiles-jupyter-graphs/tree/master/examples) in Google Colab by\nopening GitHub notebook URL: `https://colab.research.google.com/github/yWorks/yfiles-jupyter-graphs/blob/main/examples/<notebook.ipynb>`.\n\nFor example the [Introduction](https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/examples/01_introduction.ipynb) notebook: <br>\nhttps://colab.research.google.com/github/yWorks/yfiles-jupyter-graphs/blob/main/examples/01_introduction.ipynb\n\n## Documentation\nYou can find the documentation [here](https://yworks.github.io/yfiles-jupyter-graphs/).\n\n## Code of Conduct\nThis project and everyone participating in it is governed by the [Code of Conduct](https://github.com/yWorks/yfiles-jupyter-graphs/blob/master/CODE_OF_CONDUCT.md).\nBy participating, you are expected to uphold this code.\nPlease report unacceptable behavior to [contact@yworks.com](mailto:contact@yworks.com).\n\n## Feedback\nThis widget is by no means perfect.\nIf you find something is not working as expected\nwe are glad to receive an issue report from you.\nPlease make sure to [search for existing issues](https://github.com/yWorks/yfiles-jupyter-graphs/search?q=is%3Aissue+repo%3AyWorks%2Fyfiles-jupyter-graphs&type=issues) first\nand check if the issue is not an unsupported feature or known issue.\nIf you did not find anything related, report a new issue with necessary information.\nPlease also provide a clear and descriptive title and stick to the issue templates.\nSee [issues](https://github.com/yWorks/yfiles-jupyter-graphs/issues).\n\n## Dependencies\n- [yFiles for HTML](https://www.yworks.com/yfiles)\n- [@ctrl/tinycolor](https://github.com/scttcper/tinycolor)\n- [@jupyter-widgets/base](https://github.com/jupyter-widgets/ipywidgets)\n- [@mdi/js](https://github.com/Templarian/MaterialDesign-JS)\n- [Vue](https://vuejs.org/)\n- [vue-json-viewer](https://github.com/chenfengjw163/vue-json-viewer)\n\n## License\nSee [LICENSE](https://github.com/yWorks/yfiles-jupyter-graphs/blob/main/LICENSE.md) file.\n",
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"license": "# yWorks GmbH - yFiles Graphs for Jupyter Free License Version 1.1, April 2022 # TERMS AND CONDITIONS FOR USE AND DISTRIBUTION ## DEFINITIONS **\"License\"** shall mean the terms and conditions for use and distribution as defined by this document. **\"Licensor\"** shall mean the copyright owner yWorks GmbH that is granting the License. **\"You\"** shall mean an individual or legal entity exercising the rights granted by this License. **\"Software\"** shall mean yFiles Graphs for Jupyter Prebuilt Extension. **\"Jupyter System\"** shall refer to both a JupyterLab software system as well as Jupyter Notebook software system. 1. **LICENSE GRANT** 1.1. **Title.** The Software and all copies thereof are proprietary to Licensor (yWorks GmbH) and title thereto remains in Licensor (yWorks GmbH), at all times. 1.2. **All Use.** You are granted a perpetual, worldwide, non-exclusive, no-charge, royalty-free, non-transferable license to install and dynamically use the Software in your browser on top of your Jupyter System on a per-user level, provided that the following conditions are met: 1. **No-Wrapping.** The Software may not be used as part of an automated process or outside of the Jupyter System. You may not expose the functionality provided by the Software in a way that enables a third party to use it. This especially means that you may not expose an API to a third party that will allow them to access functionality provided by the Software. 2. **No-Reverse-Engineering.** You are not allowed to reverse engineer, decompile, de-obfuscate or otherwise attempt to derive the de-obfuscated source code of Software, create derivative works, modify, translate, or disassemble the Software, unless and only to the extent that such activity is expressly permitted by applicable lawor by this License. 3. **No-Distribution.** You may not sell, rent, loan, or otherwise encumber or transfer the Software in whole or in part, to a third party, except as expressly granted herein. You may not reproduce or redistribute copies of the Software in any medium. 4. **Trademark Notices.** You may not remove, alter, or obscure any confidentiality or proprietary notices (including copyright and trademark notices) of yWorks or its suppliers on, in, or displayed by the Software. 1.3 **License Breach.** If You fail to comply with any term of this License,this License shall be revoked and You shall cease use of, and destroy, all copies of the Software. 2. **ANALYTICS FEATURES** The Software may include analytics features to analyze data that help Licensor improve the included layout algorithms, user experience, and products and services in general. These analytics features may send anonymized usage statistics to Licensor, including but not limited to information about what Software features are used and what types of graphs are laid out, as well as anonymized graph data, including but not limited to label texts, images, or icons that are replaced with placeholder data. The provided data does not contain or associate with any personal information, it does not allow to reconstruct the original contents and Licensor does not use them to identify any individual patterns of use or behavior. 3. **DISCLAIMER OF WARRANTY** Unless required by applicable law or agreed to in writing, Licensor provides the Software on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for determining the appropriateness of using the Software and assume any risks associated with your exercise of rights under this License. 4. **LIMITATION OF LIABILITY** In no event and under no legal theory, whether in tort (including negligence), contract, or otherwise, unless required by applicable law (such as deliberate and grossly negligent acts) or agreed to in writing, shall Licensor be liable to You for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this License or out of the use or inability to use the Software (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if Licensor has been advised of the possibility of such damages. 5. **APPLICABLE LAW AND COURT OF JURISDICTION** This Agreement is made and shall be construed in accordance with the laws of Germany. Court of Jurisdiction is T\u00fcbingen, Germany.",
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