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|
%global _empty_manifest_terminate_build 0
Name: python-cdsdashboards
Version: 0.6.3
Release: 1
Summary: ContainDS Dashboards extension for JupyterHub
License: BSD
URL: https://github.com/ideonate/cdsdashboards
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/d3/f5/285a6933cd44051778e4ec7ba8beedc22c5aa056ad348510175fe84fd5d9/cdsdashboards-0.6.3.tar.gz
BuildArch: noarch
Requires: python3-tornado
Requires: python3-traitlets
Requires: python3-jupyterhub
Requires: python3-alembic
Requires: python3-pluggy
Requires: python3-sudospawner
Requires: python3-jhsingle-native-proxy
Requires: python3-plotlydash-tornado-cmd
Requires: python3-bokeh-root-cmd
Requires: python3-rshiny-server-cmd
%description
# ContainDS Dashboards for JupyterHub
A Dashboard publishing solution for Data Science teams to share results with decision makers.
Run a private on-premise or cloud-based JupyterHub with extensions to instantly publish apps and notebooks as user-friendly
interactive dashboards to share with non-technical colleagues.
Currently supported frameworks:
- Jupyter notebooks ([Voilà](https://voila.readthedocs.io/en/stable/))
- [Streamlit](https://streamlit.io/) apps
- [Plotly Dash](https://plotly.com/dash/) apps
- [Bokeh](https://docs.bokeh.org/) / [Panel](https://panel.holoviz.org/) apps and notebooks
- [R Shiny](https://shiny.rstudio.com/) apps
- Any custom server or framework
This open source package allows data scientists to instantly and reliably publish interactive
notebooks or other scripts as secure interactive web apps.
Source files can be pulled from a Git repo or from the user's Jupyter tree.
Any authorised JupyterHub user can view the dashboard, or choose to give permission only to named users.
See [full documentation](https://cdsdashboards.readthedocs.io/)
## How it works
- Data scientist creates a Jupyter Notebook as normal or uploads Python/R files etc
- Data scientist creates a new Dashboard to clone their Jupyter server
- Other logged-in JupyterHub users see the dashboard in their list
- Click to launch as a server, using OAuth to gain access
- User sees a safe user-friendly version of the original notebook - served by Voilà, Streamlit, Dash, Bokeh, Panel, R Shiny etc.
All of this works through a new Dashboards menu item added to JupyterHub's header.
_Data scientist creates a Jupyter Notebook as normal_
_Data scientist creates a new Dashboard to clone their Jupyter server_
_Other logged-in JupyterHub users see the dashboard in their list_
_Uses OAuth to gain access_
_Other user sees a safe user-friendly Voilà version of the original notebook_
_Or other app frameworks_
## Requirements
Basic requirements:
- JupyterHub 1.x
- Python 3.6+
Note that JupyterHub 2.x is not supported. You will need to install a version 1.x (e.g. 1.5).
You should be able to use any authenticator for users to login - for example, corporate Google email sign in, or LDAP.
Any JupyterHub distribution should be suitable, depending on configuration. See [requirements](https://cdsdashboards.readthedocs.io/en/stable/chapters/requirements.html).
## Installation
Full [Setup and Installation details](https://cdsdashboards.readthedocs.io/en/stable/chapters/setup/setup.html) are in the documentation.
## Contact and Support
Please see LICENSE for details.
Please do get in touch if you try out the package, or would like to but need some support. I would be very interested to find out how it can be used, and to work (without charge) to help you get it running. The project needs feedback in order to develop further!
Contact [support@containds.com](mailto:support@containds.com) with any comments or questions at all.
There is a [Gitter room](https://gitter.im/ideonate/ContainDS?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) for general chat with other community members, e.g. for confguration and use case tips.
[](https://gitter.im/ideonate/ContainDS?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
[](https://cdsdashboards.readthedocs.io/en/stable/?badge=stable)
[](https://pypi.org/project/cdsdashboards/)
[](https://anaconda.org/conda-forge/cdsdashboards)
%package -n python3-cdsdashboards
Summary: ContainDS Dashboards extension for JupyterHub
Provides: python-cdsdashboards
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-cdsdashboards
# ContainDS Dashboards for JupyterHub
A Dashboard publishing solution for Data Science teams to share results with decision makers.
Run a private on-premise or cloud-based JupyterHub with extensions to instantly publish apps and notebooks as user-friendly
interactive dashboards to share with non-technical colleagues.
Currently supported frameworks:
- Jupyter notebooks ([Voilà](https://voila.readthedocs.io/en/stable/))
- [Streamlit](https://streamlit.io/) apps
- [Plotly Dash](https://plotly.com/dash/) apps
- [Bokeh](https://docs.bokeh.org/) / [Panel](https://panel.holoviz.org/) apps and notebooks
- [R Shiny](https://shiny.rstudio.com/) apps
- Any custom server or framework
This open source package allows data scientists to instantly and reliably publish interactive
notebooks or other scripts as secure interactive web apps.
Source files can be pulled from a Git repo or from the user's Jupyter tree.
Any authorised JupyterHub user can view the dashboard, or choose to give permission only to named users.
See [full documentation](https://cdsdashboards.readthedocs.io/)
## How it works
- Data scientist creates a Jupyter Notebook as normal or uploads Python/R files etc
- Data scientist creates a new Dashboard to clone their Jupyter server
- Other logged-in JupyterHub users see the dashboard in their list
- Click to launch as a server, using OAuth to gain access
- User sees a safe user-friendly version of the original notebook - served by Voilà, Streamlit, Dash, Bokeh, Panel, R Shiny etc.
All of this works through a new Dashboards menu item added to JupyterHub's header.
_Data scientist creates a Jupyter Notebook as normal_
_Data scientist creates a new Dashboard to clone their Jupyter server_
_Other logged-in JupyterHub users see the dashboard in their list_
_Uses OAuth to gain access_
_Other user sees a safe user-friendly Voilà version of the original notebook_
_Or other app frameworks_
## Requirements
Basic requirements:
- JupyterHub 1.x
- Python 3.6+
Note that JupyterHub 2.x is not supported. You will need to install a version 1.x (e.g. 1.5).
You should be able to use any authenticator for users to login - for example, corporate Google email sign in, or LDAP.
Any JupyterHub distribution should be suitable, depending on configuration. See [requirements](https://cdsdashboards.readthedocs.io/en/stable/chapters/requirements.html).
## Installation
Full [Setup and Installation details](https://cdsdashboards.readthedocs.io/en/stable/chapters/setup/setup.html) are in the documentation.
## Contact and Support
Please see LICENSE for details.
Please do get in touch if you try out the package, or would like to but need some support. I would be very interested to find out how it can be used, and to work (without charge) to help you get it running. The project needs feedback in order to develop further!
Contact [support@containds.com](mailto:support@containds.com) with any comments or questions at all.
There is a [Gitter room](https://gitter.im/ideonate/ContainDS?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) for general chat with other community members, e.g. for confguration and use case tips.
[](https://gitter.im/ideonate/ContainDS?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
[](https://cdsdashboards.readthedocs.io/en/stable/?badge=stable)
[](https://pypi.org/project/cdsdashboards/)
[](https://anaconda.org/conda-forge/cdsdashboards)
%package help
Summary: Development documents and examples for cdsdashboards
Provides: python3-cdsdashboards-doc
%description help
# ContainDS Dashboards for JupyterHub
A Dashboard publishing solution for Data Science teams to share results with decision makers.
Run a private on-premise or cloud-based JupyterHub with extensions to instantly publish apps and notebooks as user-friendly
interactive dashboards to share with non-technical colleagues.
Currently supported frameworks:
- Jupyter notebooks ([Voilà](https://voila.readthedocs.io/en/stable/))
- [Streamlit](https://streamlit.io/) apps
- [Plotly Dash](https://plotly.com/dash/) apps
- [Bokeh](https://docs.bokeh.org/) / [Panel](https://panel.holoviz.org/) apps and notebooks
- [R Shiny](https://shiny.rstudio.com/) apps
- Any custom server or framework
This open source package allows data scientists to instantly and reliably publish interactive
notebooks or other scripts as secure interactive web apps.
Source files can be pulled from a Git repo or from the user's Jupyter tree.
Any authorised JupyterHub user can view the dashboard, or choose to give permission only to named users.
See [full documentation](https://cdsdashboards.readthedocs.io/)
## How it works
- Data scientist creates a Jupyter Notebook as normal or uploads Python/R files etc
- Data scientist creates a new Dashboard to clone their Jupyter server
- Other logged-in JupyterHub users see the dashboard in their list
- Click to launch as a server, using OAuth to gain access
- User sees a safe user-friendly version of the original notebook - served by Voilà, Streamlit, Dash, Bokeh, Panel, R Shiny etc.
All of this works through a new Dashboards menu item added to JupyterHub's header.
_Data scientist creates a Jupyter Notebook as normal_
_Data scientist creates a new Dashboard to clone their Jupyter server_
_Other logged-in JupyterHub users see the dashboard in their list_
_Uses OAuth to gain access_
_Other user sees a safe user-friendly Voilà version of the original notebook_
_Or other app frameworks_
## Requirements
Basic requirements:
- JupyterHub 1.x
- Python 3.6+
Note that JupyterHub 2.x is not supported. You will need to install a version 1.x (e.g. 1.5).
You should be able to use any authenticator for users to login - for example, corporate Google email sign in, or LDAP.
Any JupyterHub distribution should be suitable, depending on configuration. See [requirements](https://cdsdashboards.readthedocs.io/en/stable/chapters/requirements.html).
## Installation
Full [Setup and Installation details](https://cdsdashboards.readthedocs.io/en/stable/chapters/setup/setup.html) are in the documentation.
## Contact and Support
Please see LICENSE for details.
Please do get in touch if you try out the package, or would like to but need some support. I would be very interested to find out how it can be used, and to work (without charge) to help you get it running. The project needs feedback in order to develop further!
Contact [support@containds.com](mailto:support@containds.com) with any comments or questions at all.
There is a [Gitter room](https://gitter.im/ideonate/ContainDS?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) for general chat with other community members, e.g. for confguration and use case tips.
[](https://gitter.im/ideonate/ContainDS?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
[](https://cdsdashboards.readthedocs.io/en/stable/?badge=stable)
[](https://pypi.org/project/cdsdashboards/)
[](https://anaconda.org/conda-forge/cdsdashboards)
%prep
%autosetup -n cdsdashboards-0.6.3
%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-cdsdashboards -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue May 30 2023 Python_Bot <Python_Bot@openeuler.org> - 0.6.3-1
- Package Spec generated
|
