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|
%global _empty_manifest_terminate_build 0
Name: python-dash
Version: 2.9.2
Release: 1
Summary: A Python framework for building reactive web-apps. Developed by Plotly.
License: MIT
URL: https://plotly.com/dash
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/aa/b3/77da44065a17a822afbb7c2af8f4b4886da381af450edffd70149dca0fd0/dash-2.9.2.tar.gz
BuildArch: noarch
Requires: python3-Flask
Requires: python3-plotly
Requires: python3-dash-html-components
Requires: python3-dash-core-components
Requires: python3-dash-table
Requires: python3-importlib-metadata
Requires: python3-contextvars
Requires: python3-redis
Requires: python3-celery[redis]
Requires: python3-importlib-metadata
Requires: python3-dash-flow-example
Requires: python3-dash-dangerously-set-inner-html
Requires: python3-flake8
Requires: python3-flaky
Requires: python3-flask-talisman
Requires: python3-mimesis
Requires: python3-mock
Requires: python3-numpy
Requires: python3-preconditions
Requires: python3-pylint
Requires: python3-pytest-mock
Requires: python3-pytest-sugar
Requires: python3-pytest-rerunfailures
Requires: python3-black
Requires: python3-isort
Requires: python3-orjson
Requires: python3-pyarrow
Requires: python3-pandas
Requires: python3-xlrd
Requires: python3-black
Requires: python3-orjson
Requires: python3-pyarrow
Requires: python3-openpyxl
Requires: python3-pandas
Requires: python3-xlrd
Requires: python3-flask-compress
Requires: python3-coloredlogs
Requires: python3-fire
Requires: python3-PyYAML
Requires: python3-diskcache
Requires: python3-multiprocess
Requires: python3-psutil
Requires: python3-beautifulsoup4
Requires: python3-lxml
Requires: python3-percy
Requires: python3-pytest
Requires: python3-requests[security]
Requires: python3-selenium
Requires: python3-waitress
Requires: python3-multiprocess
Requires: python3-psutil
Requires: python3-dash-testing-stub
Requires: python3-cryptography
%description
# Dash
[](https://circleci.com/gh/plotly/dash)
[](https://github.com/plotly/dash/blob/master/LICENSE)
[](https://pypi.org/project/dash/)
[](https://pypi.org/project/dash/)
[](https://github.com/plotly/dash/graphs/contributors)
[](https://lgtm.com/projects/g/plotly/dash/alerts)
[](https://lgtm.com/projects/g/plotly/dash/context:python)
#### *Dash is the most downloaded, trusted Python framework for building ML & data science web apps*.
Built on top of [Plotly.js](https://github.com/plotly/plotly.js), [React](https://reactjs.org/) and [Flask](https://palletsprojects.com/p/flask/), Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Python code. Read [our tutorial](https://dash.plotly.com/getting-started) (proudly crafted ❤️ with Dash itself).
- [Docs](https://dash.plotly.com/getting-started): Create your first Dash app in under 5 minutes
- [dash.gallery](https://dash.gallery): Dash app gallery with Python & R code
### Dash App Examples
| Dash App | Description |
|--- | :---: |
| | Here’s a simple example of a Dash App that ties a Dropdown to a Plotly Graph. As the user selects a value in the Dropdown, the application code dynamically exports data from Google Finance into a Pandas DataFrame. This app was written in just **43** lines of code ([view the source](https://gist.github.com/chriddyp/3d2454905d8f01886d651f207e2419f0)). |
||Dash app code is declarative and reactive, which makes it easy to build complex apps that contain many interactive elements. Here’s an example with 5 inputs, 3 outputs, and cross filtering. This app was composed in just 160 lines of code, all of which were Python.|
|| Dash uses [Plotly.js](https://github.com/plotly/plotly.js) for charting. About 50 chart types are supported, including maps. |
|| Dash isn't just for dashboards. You have full control over the look and feel of your applications. Here's a Dash App that's styled to look like a PDF report. |
To learn more about Dash, read the [extensive announcement letter](https://medium.com/@plotlygraphs/introducing-dash-5ecf7191b503) or [jump in with the user guide](https://plotly.com/dash).
### Dash OSS & Dash Enterprise
With Dash Open Source, Dash apps run on your local laptop or workstation, but cannot be easily accessed by others in your organization.
Scale up with Dash Enterprise when your Dash app is ready for department or company-wide consumption. Or, launch your initiative with Dash Enterprise from the start to unlock developer productivity gains and hands-on acceleration from Plotly's team.
ML Ops Features: A one-stop shop for ML Ops: Horizontally scalable hosting, deployment, and authentication for your Dash apps. No IT or DevOps required.
- [**App manager**](https://plotly.com/dash/app-manager/) Deploy & manage Dash apps without needing IT or a DevOps team. App Manager gives you point & click control over all aspects of your Dash deployments.
- [**Kubernetes scaling**](https://plotly.com/dash/kubernetes/) Ensure high availability of Dash apps and scale horizontally with Dash Enterprise’s Kubernetes architecture. No IT or Helm required.
- [**No code auth**](https://plotly.com/dash/authentication/) Control Dash app access in a few clicks. Dash Enterprise supports LDAP, AD, PKI, Okta, SAML, OpenID Connect, OAuth, SSO, and simple email authentication.
- [**Job Queue**](https://plotly.com/dash/job-queue/) The Job Queue is the key to building scalable Dash apps. Move heavy computation from synchronous Dash callbacks to the Job Queue for asynchronous background processing.
Low-Code Features: Low-code Dash app capabilities that supercharge developer productivity.
- [**Design Kit**](https://plotly.com/dash/design-kit/) Design like a pro without writing a line of CSS. Easily arrange, style, brand, and customize your Dash apps.
- [**Snapshot Engine**](https://plotly.com/dash/snapshot-engine/) Save & share Dash app views as links or PDFs. Or, run a Python job through Dash and have Snapshot Engine email a report when the job is done.
- [**Dashboard Toolkit**](https://plotly.com/dash/toolkit/) Drag & drop layouts, chart editing, and crossfilter for your Dash apps.
- [**Embedding**](https://plotly.com/dash/embedding/) Natively embed Dash apps in an existing web application or website without the use of IFrames.
Enterprise AI Features: Everything that your data science team needs to rapidly deliver AI/ML research and business initiatives.
- [**AI App Marketplace**](https://plotly.com/dash/ai-and-ml-templates/) Dash Enterprise ships with dozens of Dash app templates for business problems where AI/ML is having the greatest impact.
- [**Big Data for Pything**](https://plotly.com/dash/big-data-for-python/) Connect to Python's most popular big data back ends: Dask, Databricks, NVIDIA RAPIDS, Snowflake, Postgres, Vaex, and more.
- [**GPU & Dask Acceleration**](https://plotly.com/dash/gpu-dask-acceleration/) Dash Enterprise puts Python’s most popular HPC stack for GPU and parallel CPU computing in the hands of business users.
- [**Data Science Workspaces**](https://plotly.com/dash/workspaces/) Be productive from Day 1. Write and execute Python, R, & Julia code from Dash Enterprise's onboard code editor.
See [https://plotly.com/contact-us/](https://plotly.com/contact-us/) to get in touch.
%package -n python3-dash
Summary: A Python framework for building reactive web-apps. Developed by Plotly.
Provides: python-dash
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-dash
# Dash
[](https://circleci.com/gh/plotly/dash)
[](https://github.com/plotly/dash/blob/master/LICENSE)
[](https://pypi.org/project/dash/)
[](https://pypi.org/project/dash/)
[](https://github.com/plotly/dash/graphs/contributors)
[](https://lgtm.com/projects/g/plotly/dash/alerts)
[](https://lgtm.com/projects/g/plotly/dash/context:python)
#### *Dash is the most downloaded, trusted Python framework for building ML & data science web apps*.
Built on top of [Plotly.js](https://github.com/plotly/plotly.js), [React](https://reactjs.org/) and [Flask](https://palletsprojects.com/p/flask/), Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Python code. Read [our tutorial](https://dash.plotly.com/getting-started) (proudly crafted ❤️ with Dash itself).
- [Docs](https://dash.plotly.com/getting-started): Create your first Dash app in under 5 minutes
- [dash.gallery](https://dash.gallery): Dash app gallery with Python & R code
### Dash App Examples
| Dash App | Description |
|--- | :---: |
| | Here’s a simple example of a Dash App that ties a Dropdown to a Plotly Graph. As the user selects a value in the Dropdown, the application code dynamically exports data from Google Finance into a Pandas DataFrame. This app was written in just **43** lines of code ([view the source](https://gist.github.com/chriddyp/3d2454905d8f01886d651f207e2419f0)). |
||Dash app code is declarative and reactive, which makes it easy to build complex apps that contain many interactive elements. Here’s an example with 5 inputs, 3 outputs, and cross filtering. This app was composed in just 160 lines of code, all of which were Python.|
|| Dash uses [Plotly.js](https://github.com/plotly/plotly.js) for charting. About 50 chart types are supported, including maps. |
|| Dash isn't just for dashboards. You have full control over the look and feel of your applications. Here's a Dash App that's styled to look like a PDF report. |
To learn more about Dash, read the [extensive announcement letter](https://medium.com/@plotlygraphs/introducing-dash-5ecf7191b503) or [jump in with the user guide](https://plotly.com/dash).
### Dash OSS & Dash Enterprise
With Dash Open Source, Dash apps run on your local laptop or workstation, but cannot be easily accessed by others in your organization.
Scale up with Dash Enterprise when your Dash app is ready for department or company-wide consumption. Or, launch your initiative with Dash Enterprise from the start to unlock developer productivity gains and hands-on acceleration from Plotly's team.
ML Ops Features: A one-stop shop for ML Ops: Horizontally scalable hosting, deployment, and authentication for your Dash apps. No IT or DevOps required.
- [**App manager**](https://plotly.com/dash/app-manager/) Deploy & manage Dash apps without needing IT or a DevOps team. App Manager gives you point & click control over all aspects of your Dash deployments.
- [**Kubernetes scaling**](https://plotly.com/dash/kubernetes/) Ensure high availability of Dash apps and scale horizontally with Dash Enterprise’s Kubernetes architecture. No IT or Helm required.
- [**No code auth**](https://plotly.com/dash/authentication/) Control Dash app access in a few clicks. Dash Enterprise supports LDAP, AD, PKI, Okta, SAML, OpenID Connect, OAuth, SSO, and simple email authentication.
- [**Job Queue**](https://plotly.com/dash/job-queue/) The Job Queue is the key to building scalable Dash apps. Move heavy computation from synchronous Dash callbacks to the Job Queue for asynchronous background processing.
Low-Code Features: Low-code Dash app capabilities that supercharge developer productivity.
- [**Design Kit**](https://plotly.com/dash/design-kit/) Design like a pro without writing a line of CSS. Easily arrange, style, brand, and customize your Dash apps.
- [**Snapshot Engine**](https://plotly.com/dash/snapshot-engine/) Save & share Dash app views as links or PDFs. Or, run a Python job through Dash and have Snapshot Engine email a report when the job is done.
- [**Dashboard Toolkit**](https://plotly.com/dash/toolkit/) Drag & drop layouts, chart editing, and crossfilter for your Dash apps.
- [**Embedding**](https://plotly.com/dash/embedding/) Natively embed Dash apps in an existing web application or website without the use of IFrames.
Enterprise AI Features: Everything that your data science team needs to rapidly deliver AI/ML research and business initiatives.
- [**AI App Marketplace**](https://plotly.com/dash/ai-and-ml-templates/) Dash Enterprise ships with dozens of Dash app templates for business problems where AI/ML is having the greatest impact.
- [**Big Data for Pything**](https://plotly.com/dash/big-data-for-python/) Connect to Python's most popular big data back ends: Dask, Databricks, NVIDIA RAPIDS, Snowflake, Postgres, Vaex, and more.
- [**GPU & Dask Acceleration**](https://plotly.com/dash/gpu-dask-acceleration/) Dash Enterprise puts Python’s most popular HPC stack for GPU and parallel CPU computing in the hands of business users.
- [**Data Science Workspaces**](https://plotly.com/dash/workspaces/) Be productive from Day 1. Write and execute Python, R, & Julia code from Dash Enterprise's onboard code editor.
See [https://plotly.com/contact-us/](https://plotly.com/contact-us/) to get in touch.
%package help
Summary: Development documents and examples for dash
Provides: python3-dash-doc
%description help
# Dash
[](https://circleci.com/gh/plotly/dash)
[](https://github.com/plotly/dash/blob/master/LICENSE)
[](https://pypi.org/project/dash/)
[](https://pypi.org/project/dash/)
[](https://github.com/plotly/dash/graphs/contributors)
[](https://lgtm.com/projects/g/plotly/dash/alerts)
[](https://lgtm.com/projects/g/plotly/dash/context:python)
#### *Dash is the most downloaded, trusted Python framework for building ML & data science web apps*.
Built on top of [Plotly.js](https://github.com/plotly/plotly.js), [React](https://reactjs.org/) and [Flask](https://palletsprojects.com/p/flask/), Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Python code. Read [our tutorial](https://dash.plotly.com/getting-started) (proudly crafted ❤️ with Dash itself).
- [Docs](https://dash.plotly.com/getting-started): Create your first Dash app in under 5 minutes
- [dash.gallery](https://dash.gallery): Dash app gallery with Python & R code
### Dash App Examples
| Dash App | Description |
|--- | :---: |
| | Here’s a simple example of a Dash App that ties a Dropdown to a Plotly Graph. As the user selects a value in the Dropdown, the application code dynamically exports data from Google Finance into a Pandas DataFrame. This app was written in just **43** lines of code ([view the source](https://gist.github.com/chriddyp/3d2454905d8f01886d651f207e2419f0)). |
||Dash app code is declarative and reactive, which makes it easy to build complex apps that contain many interactive elements. Here’s an example with 5 inputs, 3 outputs, and cross filtering. This app was composed in just 160 lines of code, all of which were Python.|
|| Dash uses [Plotly.js](https://github.com/plotly/plotly.js) for charting. About 50 chart types are supported, including maps. |
|| Dash isn't just for dashboards. You have full control over the look and feel of your applications. Here's a Dash App that's styled to look like a PDF report. |
To learn more about Dash, read the [extensive announcement letter](https://medium.com/@plotlygraphs/introducing-dash-5ecf7191b503) or [jump in with the user guide](https://plotly.com/dash).
### Dash OSS & Dash Enterprise
With Dash Open Source, Dash apps run on your local laptop or workstation, but cannot be easily accessed by others in your organization.
Scale up with Dash Enterprise when your Dash app is ready for department or company-wide consumption. Or, launch your initiative with Dash Enterprise from the start to unlock developer productivity gains and hands-on acceleration from Plotly's team.
ML Ops Features: A one-stop shop for ML Ops: Horizontally scalable hosting, deployment, and authentication for your Dash apps. No IT or DevOps required.
- [**App manager**](https://plotly.com/dash/app-manager/) Deploy & manage Dash apps without needing IT or a DevOps team. App Manager gives you point & click control over all aspects of your Dash deployments.
- [**Kubernetes scaling**](https://plotly.com/dash/kubernetes/) Ensure high availability of Dash apps and scale horizontally with Dash Enterprise’s Kubernetes architecture. No IT or Helm required.
- [**No code auth**](https://plotly.com/dash/authentication/) Control Dash app access in a few clicks. Dash Enterprise supports LDAP, AD, PKI, Okta, SAML, OpenID Connect, OAuth, SSO, and simple email authentication.
- [**Job Queue**](https://plotly.com/dash/job-queue/) The Job Queue is the key to building scalable Dash apps. Move heavy computation from synchronous Dash callbacks to the Job Queue for asynchronous background processing.
Low-Code Features: Low-code Dash app capabilities that supercharge developer productivity.
- [**Design Kit**](https://plotly.com/dash/design-kit/) Design like a pro without writing a line of CSS. Easily arrange, style, brand, and customize your Dash apps.
- [**Snapshot Engine**](https://plotly.com/dash/snapshot-engine/) Save & share Dash app views as links or PDFs. Or, run a Python job through Dash and have Snapshot Engine email a report when the job is done.
- [**Dashboard Toolkit**](https://plotly.com/dash/toolkit/) Drag & drop layouts, chart editing, and crossfilter for your Dash apps.
- [**Embedding**](https://plotly.com/dash/embedding/) Natively embed Dash apps in an existing web application or website without the use of IFrames.
Enterprise AI Features: Everything that your data science team needs to rapidly deliver AI/ML research and business initiatives.
- [**AI App Marketplace**](https://plotly.com/dash/ai-and-ml-templates/) Dash Enterprise ships with dozens of Dash app templates for business problems where AI/ML is having the greatest impact.
- [**Big Data for Pything**](https://plotly.com/dash/big-data-for-python/) Connect to Python's most popular big data back ends: Dask, Databricks, NVIDIA RAPIDS, Snowflake, Postgres, Vaex, and more.
- [**GPU & Dask Acceleration**](https://plotly.com/dash/gpu-dask-acceleration/) Dash Enterprise puts Python’s most popular HPC stack for GPU and parallel CPU computing in the hands of business users.
- [**Data Science Workspaces**](https://plotly.com/dash/workspaces/) Be productive from Day 1. Write and execute Python, R, & Julia code from Dash Enterprise's onboard code editor.
See [https://plotly.com/contact-us/](https://plotly.com/contact-us/) to get in touch.
%prep
%autosetup -n dash-2.9.2
%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-dash -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 2.9.2-1
- Package Spec generated
|
