%global _empty_manifest_terminate_build 0
Name: python-apache-superset
Version: 2.1.0
Release: 1
Summary: A modern, enterprise-ready business intelligence web application
License: Apache License, Version 2.0
URL: https://superset.apache.org/
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/4c/ee/416780cdd40dac976baad3c11bedd2fa5241be722d4288c6d1c2bc3c332b/apache-superset-2.1.0.tar.gz
BuildArch: noarch
%description
# Superset
[](https://opensource.org/licenses/Apache-2.0)
[](https://github.com/apache/superset/tree/latest)
[](https://github.com/apache/superset/actions)
[](https://badge.fury.io/py/apache-superset)
[](https://codecov.io/github/apache/superset)
[](https://pypi.python.org/pypi/apache-superset)
[](http://bit.ly/join-superset-slack)
[](https://superset.apache.org)
A modern, enterprise-ready business intelligence web application.
[**Why Superset?**](#why-superset) |
[**Supported Databases**](#supported-databases) |
[**Installation and Configuration**](#installation-and-configuration) |
[**Release Notes**](RELEASING/README.md#release-notes-for-recent-releases) |
[**Get Involved**](#get-involved) |
[**Contributor Guide**](#contributor-guide) |
[**Resources**](#resources) |
[**Organizations Using Superset**](RESOURCES/INTHEWILD.md)
## Why Superset?
Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intelligence tools for many teams. Superset integrates well with a variety of data sources.
Superset provides:
- A **no-code interface** for building charts quickly
- A powerful, web-based **SQL Editor** for advanced querying
- A **lightweight semantic layer** for quickly defining custom dimensions and metrics
- Out of the box support for **nearly any SQL** database or data engine
- A wide array of **beautiful visualizations** to showcase your data, ranging from simple bar charts to geospatial visualizations
- Lightweight, configurable **caching layer** to help ease database load
- Highly extensible **security roles and authentication** options
- An **API** for programmatic customization
- A **cloud-native architecture** designed from the ground up for scale
## Screenshots & Gifs
**Large Gallery of Visualizations**

**Craft Beautiful, Dynamic Dashboards**

**No-Code Chart Builder**

**Powerful SQL Editor**

## Supported Databases
Superset can query data from any SQL-speaking datastore or data engine (Presto, Trino, Athena, [and more](https://superset.apache.org/docs/databases/installing-database-drivers/)) that has a Python DB-API driver and a SQLAlchemy dialect.
Here are some of the major database solutions that are supported:
**A more comprehensive list of supported databases** along with the configuration instructions can be found [here](https://superset.apache.org/docs/databases/installing-database-drivers).
Want to add support for your datastore or data engine? Read more [here](https://superset.apache.org/docs/frequently-asked-questions#does-superset-work-with-insert-database-engine-here) about the technical requirements.
## Installation and Configuration
[Extended documentation for Superset](https://superset.apache.org/docs/installation/installing-superset-using-docker-compose)
## Get Involved
- Ask and answer questions on [StackOverflow](https://stackoverflow.com/questions/tagged/apache-superset) using the **apache-superset** tag
- [Join our community's Slack](http://bit.ly/join-superset-slack)
and please read our [Slack Community Guidelines](https://github.com/apache/superset/blob/master/CODE_OF_CONDUCT.md#slack-community-guidelines)
- [Join our dev@superset.apache.org Mailing list](https://lists.apache.org/list.html?dev@superset.apache.org)
## Contributor Guide
Interested in contributing? Check out our
[CONTRIBUTING.md](https://github.com/apache/superset/blob/master/CONTRIBUTING.md)
to find resources around contributing along with a detailed guide on
how to set up a development environment.
## Resources
Superset 2.0!
- [Superset 2.0 Meetup](https://preset.io/events/superset-2-0-meetup/)
- [Superset 2.0 Release Notes](https://github.com/apache/superset/tree/master/RELEASING/release-notes-2-0)
Understanding the Superset Points of View
- [The Case for Dataset-Centric Visualization](https://preset.io/blog/dataset-centric-visualization/)
- [Understanding the Superset Semantic Layer](https://preset.io/blog/understanding-superset-semantic-layer/)
- Getting Started with Superset
- [Superset in 2 Minutes using Docker Compose](https://superset.apache.org/docs/installation/installing-superset-using-docker-compose#installing-superset-locally-using-docker-compose)
- [Installing Database Drivers](https://superset.apache.org/docs/databases/docker-add-drivers/)
- [Building New Database Connectors](https://preset.io/blog/building-database-connector/)
- [Create Your First Dashboard](https://superset.apache.org/docs/creating-charts-dashboards/first-dashboard)
- [Comprehensive Tutorial for Contributing Code to Apache Superset
](https://preset.io/blog/tutorial-contributing-code-to-apache-superset/)
- [Resources to master Superset by Preset](https://preset.io/resources/)
- Deploying Superset
- [Official Docker image](https://hub.docker.com/r/apache/superset)
- [Helm Chart](https://github.com/apache/superset/tree/master/helm/superset)
- Recordings of Past [Superset Community Events](https://preset.io/events)
- [Mixed Time Series Charts](https://preset.io/events/mixed-time-series-visualization-in-superset-workshop/)
- [How the Bing Team Customized Superset for the Internal Self-Serve Data & Analytics Platform](https://preset.io/events/how-the-bing-team-heavily-customized-superset-for-their-internal-data/)
- [Live Demo: Visualizing MongoDB and Pinot Data using Trino](https://preset.io/events/2021-04-13-visualizing-mongodb-and-pinot-data-using-trino/)
- [Introduction to the Superset API](https://preset.io/events/introduction-to-the-superset-api/)
- [Building a Database Connector for Superset](https://preset.io/events/2021-02-16-building-a-database-connector-for-superset/)
- Visualizations
- [Creating Viz Plugins](https://superset.apache.org/docs/contributing/creating-viz-plugins/)
- [Managing and Deploying Custom Viz Plugins](https://medium.com/nmc-techblog/apache-superset-manage-custom-viz-plugins-in-production-9fde1a708e55)
- [Why Apache Superset is Betting on Apache ECharts](https://preset.io/blog/2021-4-1-why-echarts/)
- [Superset API](https://superset.apache.org/docs/rest-api)
%package -n python3-apache-superset
Summary: A modern, enterprise-ready business intelligence web application
Provides: python-apache-superset
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-apache-superset
# Superset
[](https://opensource.org/licenses/Apache-2.0)
[](https://github.com/apache/superset/tree/latest)
[](https://github.com/apache/superset/actions)
[](https://badge.fury.io/py/apache-superset)
[](https://codecov.io/github/apache/superset)
[](https://pypi.python.org/pypi/apache-superset)
[](http://bit.ly/join-superset-slack)
[](https://superset.apache.org)
A modern, enterprise-ready business intelligence web application.
[**Why Superset?**](#why-superset) |
[**Supported Databases**](#supported-databases) |
[**Installation and Configuration**](#installation-and-configuration) |
[**Release Notes**](RELEASING/README.md#release-notes-for-recent-releases) |
[**Get Involved**](#get-involved) |
[**Contributor Guide**](#contributor-guide) |
[**Resources**](#resources) |
[**Organizations Using Superset**](RESOURCES/INTHEWILD.md)
## Why Superset?
Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intelligence tools for many teams. Superset integrates well with a variety of data sources.
Superset provides:
- A **no-code interface** for building charts quickly
- A powerful, web-based **SQL Editor** for advanced querying
- A **lightweight semantic layer** for quickly defining custom dimensions and metrics
- Out of the box support for **nearly any SQL** database or data engine
- A wide array of **beautiful visualizations** to showcase your data, ranging from simple bar charts to geospatial visualizations
- Lightweight, configurable **caching layer** to help ease database load
- Highly extensible **security roles and authentication** options
- An **API** for programmatic customization
- A **cloud-native architecture** designed from the ground up for scale
## Screenshots & Gifs
**Large Gallery of Visualizations**

**Craft Beautiful, Dynamic Dashboards**

**No-Code Chart Builder**

**Powerful SQL Editor**

## Supported Databases
Superset can query data from any SQL-speaking datastore or data engine (Presto, Trino, Athena, [and more](https://superset.apache.org/docs/databases/installing-database-drivers/)) that has a Python DB-API driver and a SQLAlchemy dialect.
Here are some of the major database solutions that are supported:
**A more comprehensive list of supported databases** along with the configuration instructions can be found [here](https://superset.apache.org/docs/databases/installing-database-drivers).
Want to add support for your datastore or data engine? Read more [here](https://superset.apache.org/docs/frequently-asked-questions#does-superset-work-with-insert-database-engine-here) about the technical requirements.
## Installation and Configuration
[Extended documentation for Superset](https://superset.apache.org/docs/installation/installing-superset-using-docker-compose)
## Get Involved
- Ask and answer questions on [StackOverflow](https://stackoverflow.com/questions/tagged/apache-superset) using the **apache-superset** tag
- [Join our community's Slack](http://bit.ly/join-superset-slack)
and please read our [Slack Community Guidelines](https://github.com/apache/superset/blob/master/CODE_OF_CONDUCT.md#slack-community-guidelines)
- [Join our dev@superset.apache.org Mailing list](https://lists.apache.org/list.html?dev@superset.apache.org)
## Contributor Guide
Interested in contributing? Check out our
[CONTRIBUTING.md](https://github.com/apache/superset/blob/master/CONTRIBUTING.md)
to find resources around contributing along with a detailed guide on
how to set up a development environment.
## Resources
Superset 2.0!
- [Superset 2.0 Meetup](https://preset.io/events/superset-2-0-meetup/)
- [Superset 2.0 Release Notes](https://github.com/apache/superset/tree/master/RELEASING/release-notes-2-0)
Understanding the Superset Points of View
- [The Case for Dataset-Centric Visualization](https://preset.io/blog/dataset-centric-visualization/)
- [Understanding the Superset Semantic Layer](https://preset.io/blog/understanding-superset-semantic-layer/)
- Getting Started with Superset
- [Superset in 2 Minutes using Docker Compose](https://superset.apache.org/docs/installation/installing-superset-using-docker-compose#installing-superset-locally-using-docker-compose)
- [Installing Database Drivers](https://superset.apache.org/docs/databases/docker-add-drivers/)
- [Building New Database Connectors](https://preset.io/blog/building-database-connector/)
- [Create Your First Dashboard](https://superset.apache.org/docs/creating-charts-dashboards/first-dashboard)
- [Comprehensive Tutorial for Contributing Code to Apache Superset
](https://preset.io/blog/tutorial-contributing-code-to-apache-superset/)
- [Resources to master Superset by Preset](https://preset.io/resources/)
- Deploying Superset
- [Official Docker image](https://hub.docker.com/r/apache/superset)
- [Helm Chart](https://github.com/apache/superset/tree/master/helm/superset)
- Recordings of Past [Superset Community Events](https://preset.io/events)
- [Mixed Time Series Charts](https://preset.io/events/mixed-time-series-visualization-in-superset-workshop/)
- [How the Bing Team Customized Superset for the Internal Self-Serve Data & Analytics Platform](https://preset.io/events/how-the-bing-team-heavily-customized-superset-for-their-internal-data/)
- [Live Demo: Visualizing MongoDB and Pinot Data using Trino](https://preset.io/events/2021-04-13-visualizing-mongodb-and-pinot-data-using-trino/)
- [Introduction to the Superset API](https://preset.io/events/introduction-to-the-superset-api/)
- [Building a Database Connector for Superset](https://preset.io/events/2021-02-16-building-a-database-connector-for-superset/)
- Visualizations
- [Creating Viz Plugins](https://superset.apache.org/docs/contributing/creating-viz-plugins/)
- [Managing and Deploying Custom Viz Plugins](https://medium.com/nmc-techblog/apache-superset-manage-custom-viz-plugins-in-production-9fde1a708e55)
- [Why Apache Superset is Betting on Apache ECharts](https://preset.io/blog/2021-4-1-why-echarts/)
- [Superset API](https://superset.apache.org/docs/rest-api)
%package help
Summary: Development documents and examples for apache-superset
Provides: python3-apache-superset-doc
%description help
# Superset
[](https://opensource.org/licenses/Apache-2.0)
[](https://github.com/apache/superset/tree/latest)
[](https://github.com/apache/superset/actions)
[](https://badge.fury.io/py/apache-superset)
[](https://codecov.io/github/apache/superset)
[](https://pypi.python.org/pypi/apache-superset)
[](http://bit.ly/join-superset-slack)
[](https://superset.apache.org)
A modern, enterprise-ready business intelligence web application.
[**Why Superset?**](#why-superset) |
[**Supported Databases**](#supported-databases) |
[**Installation and Configuration**](#installation-and-configuration) |
[**Release Notes**](RELEASING/README.md#release-notes-for-recent-releases) |
[**Get Involved**](#get-involved) |
[**Contributor Guide**](#contributor-guide) |
[**Resources**](#resources) |
[**Organizations Using Superset**](RESOURCES/INTHEWILD.md)
## Why Superset?
Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intelligence tools for many teams. Superset integrates well with a variety of data sources.
Superset provides:
- A **no-code interface** for building charts quickly
- A powerful, web-based **SQL Editor** for advanced querying
- A **lightweight semantic layer** for quickly defining custom dimensions and metrics
- Out of the box support for **nearly any SQL** database or data engine
- A wide array of **beautiful visualizations** to showcase your data, ranging from simple bar charts to geospatial visualizations
- Lightweight, configurable **caching layer** to help ease database load
- Highly extensible **security roles and authentication** options
- An **API** for programmatic customization
- A **cloud-native architecture** designed from the ground up for scale
## Screenshots & Gifs
**Large Gallery of Visualizations**

**Craft Beautiful, Dynamic Dashboards**

**No-Code Chart Builder**

**Powerful SQL Editor**

## Supported Databases
Superset can query data from any SQL-speaking datastore or data engine (Presto, Trino, Athena, [and more](https://superset.apache.org/docs/databases/installing-database-drivers/)) that has a Python DB-API driver and a SQLAlchemy dialect.
Here are some of the major database solutions that are supported:
**A more comprehensive list of supported databases** along with the configuration instructions can be found [here](https://superset.apache.org/docs/databases/installing-database-drivers).
Want to add support for your datastore or data engine? Read more [here](https://superset.apache.org/docs/frequently-asked-questions#does-superset-work-with-insert-database-engine-here) about the technical requirements.
## Installation and Configuration
[Extended documentation for Superset](https://superset.apache.org/docs/installation/installing-superset-using-docker-compose)
## Get Involved
- Ask and answer questions on [StackOverflow](https://stackoverflow.com/questions/tagged/apache-superset) using the **apache-superset** tag
- [Join our community's Slack](http://bit.ly/join-superset-slack)
and please read our [Slack Community Guidelines](https://github.com/apache/superset/blob/master/CODE_OF_CONDUCT.md#slack-community-guidelines)
- [Join our dev@superset.apache.org Mailing list](https://lists.apache.org/list.html?dev@superset.apache.org)
## Contributor Guide
Interested in contributing? Check out our
[CONTRIBUTING.md](https://github.com/apache/superset/blob/master/CONTRIBUTING.md)
to find resources around contributing along with a detailed guide on
how to set up a development environment.
## Resources
Superset 2.0!
- [Superset 2.0 Meetup](https://preset.io/events/superset-2-0-meetup/)
- [Superset 2.0 Release Notes](https://github.com/apache/superset/tree/master/RELEASING/release-notes-2-0)
Understanding the Superset Points of View
- [The Case for Dataset-Centric Visualization](https://preset.io/blog/dataset-centric-visualization/)
- [Understanding the Superset Semantic Layer](https://preset.io/blog/understanding-superset-semantic-layer/)
- Getting Started with Superset
- [Superset in 2 Minutes using Docker Compose](https://superset.apache.org/docs/installation/installing-superset-using-docker-compose#installing-superset-locally-using-docker-compose)
- [Installing Database Drivers](https://superset.apache.org/docs/databases/docker-add-drivers/)
- [Building New Database Connectors](https://preset.io/blog/building-database-connector/)
- [Create Your First Dashboard](https://superset.apache.org/docs/creating-charts-dashboards/first-dashboard)
- [Comprehensive Tutorial for Contributing Code to Apache Superset
](https://preset.io/blog/tutorial-contributing-code-to-apache-superset/)
- [Resources to master Superset by Preset](https://preset.io/resources/)
- Deploying Superset
- [Official Docker image](https://hub.docker.com/r/apache/superset)
- [Helm Chart](https://github.com/apache/superset/tree/master/helm/superset)
- Recordings of Past [Superset Community Events](https://preset.io/events)
- [Mixed Time Series Charts](https://preset.io/events/mixed-time-series-visualization-in-superset-workshop/)
- [How the Bing Team Customized Superset for the Internal Self-Serve Data & Analytics Platform](https://preset.io/events/how-the-bing-team-heavily-customized-superset-for-their-internal-data/)
- [Live Demo: Visualizing MongoDB and Pinot Data using Trino](https://preset.io/events/2021-04-13-visualizing-mongodb-and-pinot-data-using-trino/)
- [Introduction to the Superset API](https://preset.io/events/introduction-to-the-superset-api/)
- [Building a Database Connector for Superset](https://preset.io/events/2021-02-16-building-a-database-connector-for-superset/)
- Visualizations
- [Creating Viz Plugins](https://superset.apache.org/docs/contributing/creating-viz-plugins/)
- [Managing and Deploying Custom Viz Plugins](https://medium.com/nmc-techblog/apache-superset-manage-custom-viz-plugins-in-production-9fde1a708e55)
- [Why Apache Superset is Betting on Apache ECharts](https://preset.io/blog/2021-4-1-why-echarts/)
- [Superset API](https://superset.apache.org/docs/rest-api)
%prep
%autosetup -n apache-superset-2.1.0
%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-apache-superset -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Mon Apr 10 2023 Python_Bot - 2.1.0-1
- Package Spec generated