[Home](https://panel.holoviz.org/) | [Installation instructions](#installation-instructions) | [Getting Started Guide](https://panel.holoviz.org/getting_started/index.html) | [Reference Guides](https://panel.holoviz.org/reference/index.html) | [Examples](#examples) | [License](#license) | [Support](#support--feedback)
## Panel works with the tools you know and love
[Panel](https://panel.holoviz.org/) makes it easy to combine widgets, plots, tables and other viewable Python objects into custom analysis tools, applications, and dashboards.
[](https://panel.holoviz.org/reference/templates/FastGridTemplate.html)
Panel works really well with the visualization tools you already know and love like [Altair/ Vega](https://panel.holoviz.org/reference/panes/Vega.html), [Bokeh](https://panel.holoviz.org/reference/panes/Bokeh.html), [Datashader](https://datashader.org/), [Deck.gl/ pydeck](https://panel.holoviz.org/reference/panes/DeckGL.html), [Echarts/ pyecharts](https://panel.holoviz.org/reference/panes/ECharts.html), [Folium](https://panel.holoviz.org/reference/panes/Folium.html), [HoloViews](https://holoviews.org/), [hvPlot](https://hvplot.holoviz.org), [plotnine](https://panel.holoviz.org/reference/panes/Matplotlib.html), [Matplotlib](https://panel.holoviz.org/reference/panes/Matplotlib.html), [Plotly](https://panel.holoviz.org/reference/panes/Plotly.html), [PyVista/ VTK](https://panel.holoviz.org/reference/panes/VTK.html), [Seaborn](https://panel.holoviz.org/gallery/styles/SeabornStyle.html) and more. Panel also works with the [ipywidgets](https://panel.holoviz.org/reference/panes/IPyWidget.html) ecosystem.
[](https://panel.holoviz.org/reference/index.html#panes)
Panel provides bi-directional communication making it possible to react to clicks, selections, hover etc. events.
[](https://panel.holoviz.org/reference/panes/Vega.html)
You can develop in [Jupyter Notebooks](http://jupyter.org) as well as editors like [VS Code](https://code.visualstudio.com/), [PyCharm](https://www.jetbrains.com/pycharm/) or [Spyder](https://www.spyder-ide.org/).
Panel provides a unique combination of deployment options. You can share your data and models as
- a web application running on the [Tornado](https://www.tornadoweb.org/en/stable/) (default), [Flask](https://flask.palletsprojects.com/), [Django](https://www.djangoproject.com/) or [Fast API](https://fastapi.tiangolo.com/) web server.
- a stand alone client side application powered by [Pyodide](https://pyodide.org/en/stable/) or [PyScript](https://pyscript.net/) via [`panel convert`](https://panel.holoviz.org/user_guide/Running_in_Webassembly.html).
- an interactive Jupyter notebook component.
- a static `.html` web page, a `.gif` video, a `.png` image and more.
Panel has something to offer for every one *from beginner to data pro*.
## Panel is a member of the HoloViz ecosystem
Panel is a member of the ambitious [HoloViz](https://holoviz.org/) dataviz ecosystem and has first class support for the other members like [hvPlot](https://hvplot.holoviz.org) (simple .hvplot plotting api), [HoloViews](https://holoviews.org/) (powerful plotting api), and [Datashader](https://datashader.org/) (big data viz).
Panel is built on top of [Param](https://param.holoviz.org). Param enables you to annotate your code with parameter ranges, documentation, and dependencies between parameters and code. With this approach,
- you don't ever have to commit to whether your code will be used in a notebook, a data app, in batch processing, or reports.
- you will write less code and be able to develop large, maintainable code bases!
## Mini getting-started
Head over to the [getting started guide](https://panel.holoviz.org/getting_started/index.html) for more!
### Installation Instructions
Panel can be installed on Linux, Windows, or Mac with ``conda``:
```bash
conda install -c pyviz panel
```
or with ``pip``:
```bash
pip install panel
```
See the [Environments](#environments) section below for additional instructions for your environment.
### Interactive data apps
Bring your data or model
```python
def model(n=5):
return "⭐"*n
```
Bind it to a Panel *widget* and *lay it out*.
```python
import panel as pn
pn.extension()
slider = pn.widgets.IntSlider(value=5, start=1, end=5)
interactive_model = pn.bind(model, n=slider)
layout = pn.Column(slider, interactive_model)
```
For deployment on a web server wrap it in a nice template.
```python
pn.template.FastListTemplate(
site="Panel", title="Example", main=[layout],
).servable()
```
Start the server with
```bash
panel serve name_of_script.py --show
```
or
```bash
panel serve name_of_notebook.ipynb --show
```
## Examples
[](https://panel.holoviz.org/gallery/index.html)
[](https://www.awesome-panel.org/gallery?theme=default)
## Get started
Develop applications in your favorite notebook or editor environment, including Jupyter(Lab) notebooks, VSCode, Google Colab and many more, [see our getting started guide](https://panel.holoviz.org/getting_started/installation.html#developing-in-different-editors) for more details.
## Support & Feedback
- Usage questions and showcases -> [HoloViz Community](https://holoviz.org/community.html)
- Bug reports and feature requests -> [Github](https://github.com/holoviz/panel)
- Developer discussions -> [Gitter](https://gitter.im/pyviz/pyviz)
For more detail check out the [HoloViz Community Guide](https://holoviz.org/community.html).
## Contributing ❤️
Check out the [Contributing Guide](CONTRIBUTING.MD).
## License
Panel is completely free and open-source. It is licensed under the [BSD 3-Clause License](https://opensource.org/licenses/BSD-3-Clause).
## Sponsors
The Panel project is grateful for the numerous contributions from the community including
- The [awesome-panel.org](https://www.awesome-panel.org/) project, [tweets](https://twitter.com/MarcSkovMadsen) and [videos](https://www.youtube.com/watch?v=7dJO4j4ENhg&list=PLrrcIlm1vLr69f4CsTlrO0wSNBw6VbsJA) by [Marc Skov Madsen](https://www.linkedin.com/in/marcskovmadsen)
- Inspiring [blog posts](https://sophiamyang.medium.com/), [tweets](https://twitter.com/sophiamyang) and [videos](https://www.youtube.com/watch?v=wlzkiGPIV3I&list=PL2KLV6jxFCI39YW7v-nVZOp34cVhYpSJO) by [Sophia Yang](https://www.linkedin.com/in/sophiamyang/)
- Cool [videos](https://youtu.be/uhxiXOTKzfs) by [Thu Hien Vu](https://www.linkedin.com/in/thu-hien-vu-3766b174/)
The Panel project is also very grateful for the sponsorship by the organizations and companies below:
%package -n python3-panel
Summary: A high level app and dashboarding solution for Python.
Provides: python-panel
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-panel
# Panel: the most flexible data app framework for Python
Build Status
Coverage
Latest dev release
Latest release
Docs
Binder
Support
[Home](https://panel.holoviz.org/) | [Installation instructions](#installation-instructions) | [Getting Started Guide](https://panel.holoviz.org/getting_started/index.html) | [Reference Guides](https://panel.holoviz.org/reference/index.html) | [Examples](#examples) | [License](#license) | [Support](#support--feedback)
## Panel works with the tools you know and love
[Panel](https://panel.holoviz.org/) makes it easy to combine widgets, plots, tables and other viewable Python objects into custom analysis tools, applications, and dashboards.
[](https://panel.holoviz.org/reference/templates/FastGridTemplate.html)
Panel works really well with the visualization tools you already know and love like [Altair/ Vega](https://panel.holoviz.org/reference/panes/Vega.html), [Bokeh](https://panel.holoviz.org/reference/panes/Bokeh.html), [Datashader](https://datashader.org/), [Deck.gl/ pydeck](https://panel.holoviz.org/reference/panes/DeckGL.html), [Echarts/ pyecharts](https://panel.holoviz.org/reference/panes/ECharts.html), [Folium](https://panel.holoviz.org/reference/panes/Folium.html), [HoloViews](https://holoviews.org/), [hvPlot](https://hvplot.holoviz.org), [plotnine](https://panel.holoviz.org/reference/panes/Matplotlib.html), [Matplotlib](https://panel.holoviz.org/reference/panes/Matplotlib.html), [Plotly](https://panel.holoviz.org/reference/panes/Plotly.html), [PyVista/ VTK](https://panel.holoviz.org/reference/panes/VTK.html), [Seaborn](https://panel.holoviz.org/gallery/styles/SeabornStyle.html) and more. Panel also works with the [ipywidgets](https://panel.holoviz.org/reference/panes/IPyWidget.html) ecosystem.
[](https://panel.holoviz.org/reference/index.html#panes)
Panel provides bi-directional communication making it possible to react to clicks, selections, hover etc. events.
[](https://panel.holoviz.org/reference/panes/Vega.html)
You can develop in [Jupyter Notebooks](http://jupyter.org) as well as editors like [VS Code](https://code.visualstudio.com/), [PyCharm](https://www.jetbrains.com/pycharm/) or [Spyder](https://www.spyder-ide.org/).
Panel provides a unique combination of deployment options. You can share your data and models as
- a web application running on the [Tornado](https://www.tornadoweb.org/en/stable/) (default), [Flask](https://flask.palletsprojects.com/), [Django](https://www.djangoproject.com/) or [Fast API](https://fastapi.tiangolo.com/) web server.
- a stand alone client side application powered by [Pyodide](https://pyodide.org/en/stable/) or [PyScript](https://pyscript.net/) via [`panel convert`](https://panel.holoviz.org/user_guide/Running_in_Webassembly.html).
- an interactive Jupyter notebook component.
- a static `.html` web page, a `.gif` video, a `.png` image and more.
Panel has something to offer for every one *from beginner to data pro*.
## Panel is a member of the HoloViz ecosystem
Panel is a member of the ambitious [HoloViz](https://holoviz.org/) dataviz ecosystem and has first class support for the other members like [hvPlot](https://hvplot.holoviz.org) (simple .hvplot plotting api), [HoloViews](https://holoviews.org/) (powerful plotting api), and [Datashader](https://datashader.org/) (big data viz).
Panel is built on top of [Param](https://param.holoviz.org). Param enables you to annotate your code with parameter ranges, documentation, and dependencies between parameters and code. With this approach,
- you don't ever have to commit to whether your code will be used in a notebook, a data app, in batch processing, or reports.
- you will write less code and be able to develop large, maintainable code bases!
## Mini getting-started
Head over to the [getting started guide](https://panel.holoviz.org/getting_started/index.html) for more!
### Installation Instructions
Panel can be installed on Linux, Windows, or Mac with ``conda``:
```bash
conda install -c pyviz panel
```
or with ``pip``:
```bash
pip install panel
```
See the [Environments](#environments) section below for additional instructions for your environment.
### Interactive data apps
Bring your data or model
```python
def model(n=5):
return "⭐"*n
```
Bind it to a Panel *widget* and *lay it out*.
```python
import panel as pn
pn.extension()
slider = pn.widgets.IntSlider(value=5, start=1, end=5)
interactive_model = pn.bind(model, n=slider)
layout = pn.Column(slider, interactive_model)
```
For deployment on a web server wrap it in a nice template.
```python
pn.template.FastListTemplate(
site="Panel", title="Example", main=[layout],
).servable()
```
Start the server with
```bash
panel serve name_of_script.py --show
```
or
```bash
panel serve name_of_notebook.ipynb --show
```
## Examples
[](https://panel.holoviz.org/gallery/index.html)
[](https://www.awesome-panel.org/gallery?theme=default)
## Get started
Develop applications in your favorite notebook or editor environment, including Jupyter(Lab) notebooks, VSCode, Google Colab and many more, [see our getting started guide](https://panel.holoviz.org/getting_started/installation.html#developing-in-different-editors) for more details.
## Support & Feedback
- Usage questions and showcases -> [HoloViz Community](https://holoviz.org/community.html)
- Bug reports and feature requests -> [Github](https://github.com/holoviz/panel)
- Developer discussions -> [Gitter](https://gitter.im/pyviz/pyviz)
For more detail check out the [HoloViz Community Guide](https://holoviz.org/community.html).
## Contributing ❤️
Check out the [Contributing Guide](CONTRIBUTING.MD).
## License
Panel is completely free and open-source. It is licensed under the [BSD 3-Clause License](https://opensource.org/licenses/BSD-3-Clause).
## Sponsors
The Panel project is grateful for the numerous contributions from the community including
- The [awesome-panel.org](https://www.awesome-panel.org/) project, [tweets](https://twitter.com/MarcSkovMadsen) and [videos](https://www.youtube.com/watch?v=7dJO4j4ENhg&list=PLrrcIlm1vLr69f4CsTlrO0wSNBw6VbsJA) by [Marc Skov Madsen](https://www.linkedin.com/in/marcskovmadsen)
- Inspiring [blog posts](https://sophiamyang.medium.com/), [tweets](https://twitter.com/sophiamyang) and [videos](https://www.youtube.com/watch?v=wlzkiGPIV3I&list=PL2KLV6jxFCI39YW7v-nVZOp34cVhYpSJO) by [Sophia Yang](https://www.linkedin.com/in/sophiamyang/)
- Cool [videos](https://youtu.be/uhxiXOTKzfs) by [Thu Hien Vu](https://www.linkedin.com/in/thu-hien-vu-3766b174/)
The Panel project is also very grateful for the sponsorship by the organizations and companies below:
%package help
Summary: Development documents and examples for panel
Provides: python3-panel-doc
%description help
# Panel: the most flexible data app framework for Python
Build Status
Coverage
Latest dev release
Latest release
Docs
Binder
Support
[Home](https://panel.holoviz.org/) | [Installation instructions](#installation-instructions) | [Getting Started Guide](https://panel.holoviz.org/getting_started/index.html) | [Reference Guides](https://panel.holoviz.org/reference/index.html) | [Examples](#examples) | [License](#license) | [Support](#support--feedback)
## Panel works with the tools you know and love
[Panel](https://panel.holoviz.org/) makes it easy to combine widgets, plots, tables and other viewable Python objects into custom analysis tools, applications, and dashboards.
[](https://panel.holoviz.org/reference/templates/FastGridTemplate.html)
Panel works really well with the visualization tools you already know and love like [Altair/ Vega](https://panel.holoviz.org/reference/panes/Vega.html), [Bokeh](https://panel.holoviz.org/reference/panes/Bokeh.html), [Datashader](https://datashader.org/), [Deck.gl/ pydeck](https://panel.holoviz.org/reference/panes/DeckGL.html), [Echarts/ pyecharts](https://panel.holoviz.org/reference/panes/ECharts.html), [Folium](https://panel.holoviz.org/reference/panes/Folium.html), [HoloViews](https://holoviews.org/), [hvPlot](https://hvplot.holoviz.org), [plotnine](https://panel.holoviz.org/reference/panes/Matplotlib.html), [Matplotlib](https://panel.holoviz.org/reference/panes/Matplotlib.html), [Plotly](https://panel.holoviz.org/reference/panes/Plotly.html), [PyVista/ VTK](https://panel.holoviz.org/reference/panes/VTK.html), [Seaborn](https://panel.holoviz.org/gallery/styles/SeabornStyle.html) and more. Panel also works with the [ipywidgets](https://panel.holoviz.org/reference/panes/IPyWidget.html) ecosystem.
[](https://panel.holoviz.org/reference/index.html#panes)
Panel provides bi-directional communication making it possible to react to clicks, selections, hover etc. events.
[](https://panel.holoviz.org/reference/panes/Vega.html)
You can develop in [Jupyter Notebooks](http://jupyter.org) as well as editors like [VS Code](https://code.visualstudio.com/), [PyCharm](https://www.jetbrains.com/pycharm/) or [Spyder](https://www.spyder-ide.org/).
Panel provides a unique combination of deployment options. You can share your data and models as
- a web application running on the [Tornado](https://www.tornadoweb.org/en/stable/) (default), [Flask](https://flask.palletsprojects.com/), [Django](https://www.djangoproject.com/) or [Fast API](https://fastapi.tiangolo.com/) web server.
- a stand alone client side application powered by [Pyodide](https://pyodide.org/en/stable/) or [PyScript](https://pyscript.net/) via [`panel convert`](https://panel.holoviz.org/user_guide/Running_in_Webassembly.html).
- an interactive Jupyter notebook component.
- a static `.html` web page, a `.gif` video, a `.png` image and more.
Panel has something to offer for every one *from beginner to data pro*.
## Panel is a member of the HoloViz ecosystem
Panel is a member of the ambitious [HoloViz](https://holoviz.org/) dataviz ecosystem and has first class support for the other members like [hvPlot](https://hvplot.holoviz.org) (simple .hvplot plotting api), [HoloViews](https://holoviews.org/) (powerful plotting api), and [Datashader](https://datashader.org/) (big data viz).
Panel is built on top of [Param](https://param.holoviz.org). Param enables you to annotate your code with parameter ranges, documentation, and dependencies between parameters and code. With this approach,
- you don't ever have to commit to whether your code will be used in a notebook, a data app, in batch processing, or reports.
- you will write less code and be able to develop large, maintainable code bases!
## Mini getting-started
Head over to the [getting started guide](https://panel.holoviz.org/getting_started/index.html) for more!
### Installation Instructions
Panel can be installed on Linux, Windows, or Mac with ``conda``:
```bash
conda install -c pyviz panel
```
or with ``pip``:
```bash
pip install panel
```
See the [Environments](#environments) section below for additional instructions for your environment.
### Interactive data apps
Bring your data or model
```python
def model(n=5):
return "⭐"*n
```
Bind it to a Panel *widget* and *lay it out*.
```python
import panel as pn
pn.extension()
slider = pn.widgets.IntSlider(value=5, start=1, end=5)
interactive_model = pn.bind(model, n=slider)
layout = pn.Column(slider, interactive_model)
```
For deployment on a web server wrap it in a nice template.
```python
pn.template.FastListTemplate(
site="Panel", title="Example", main=[layout],
).servable()
```
Start the server with
```bash
panel serve name_of_script.py --show
```
or
```bash
panel serve name_of_notebook.ipynb --show
```
## Examples
[](https://panel.holoviz.org/gallery/index.html)
[](https://www.awesome-panel.org/gallery?theme=default)
## Get started
Develop applications in your favorite notebook or editor environment, including Jupyter(Lab) notebooks, VSCode, Google Colab and many more, [see our getting started guide](https://panel.holoviz.org/getting_started/installation.html#developing-in-different-editors) for more details.
## Support & Feedback
- Usage questions and showcases -> [HoloViz Community](https://holoviz.org/community.html)
- Bug reports and feature requests -> [Github](https://github.com/holoviz/panel)
- Developer discussions -> [Gitter](https://gitter.im/pyviz/pyviz)
For more detail check out the [HoloViz Community Guide](https://holoviz.org/community.html).
## Contributing ❤️
Check out the [Contributing Guide](CONTRIBUTING.MD).
## License
Panel is completely free and open-source. It is licensed under the [BSD 3-Clause License](https://opensource.org/licenses/BSD-3-Clause).
## Sponsors
The Panel project is grateful for the numerous contributions from the community including
- The [awesome-panel.org](https://www.awesome-panel.org/) project, [tweets](https://twitter.com/MarcSkovMadsen) and [videos](https://www.youtube.com/watch?v=7dJO4j4ENhg&list=PLrrcIlm1vLr69f4CsTlrO0wSNBw6VbsJA) by [Marc Skov Madsen](https://www.linkedin.com/in/marcskovmadsen)
- Inspiring [blog posts](https://sophiamyang.medium.com/), [tweets](https://twitter.com/sophiamyang) and [videos](https://www.youtube.com/watch?v=wlzkiGPIV3I&list=PL2KLV6jxFCI39YW7v-nVZOp34cVhYpSJO) by [Sophia Yang](https://www.linkedin.com/in/sophiamyang/)
- Cool [videos](https://youtu.be/uhxiXOTKzfs) by [Thu Hien Vu](https://www.linkedin.com/in/thu-hien-vu-3766b174/)
The Panel project is also very grateful for the sponsorship by the organizations and companies below:
%prep
%autosetup -n panel-0.14.4
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-panel -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri Apr 21 2023 Python_Bot - 0.14.4-1
- Package Spec generated
