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Install

Install this package:

emerge -a sci-visualization/dash

If the package is masked, you can unmask it using the autounmask tool or standard emerge options:

autounmask sci-visualization/dash

Or alternatively:

emerge --autounmask-write -a sci-visualization/dash

Package Information

Description:

Dash is a productive Python framework for building web analytic applications. Written on top of Flask, Plotly.js, and React.js, Dash is ideal for building data visualization apps with highly custom user interfaces in pure Python. It's particularly suited for anyone who works with data in Python. Through a couple of simple patterns, Dash abstracts away all of the technologies and protocols that are required to build an interactive web-based application. Dash is simple enough that you can bind a user interface around your Python code in an afternoon. Dash apps are rendered in the web browser. You can deploy your apps to servers and then share them through URLs. Since Dash apps are viewed in the web browser, Dash is inherently cross-platform and mobile ready. Dash ships with supercharged components for interactive user interfaces. A core set of components, written and maintained by the Dash team, is available in the dash-core-components library.

Homepage:

https://github.com/plotly/dash

License:

MIT

Versions

Metadata

Description

• Dash is a productive Python framework for building web analytic applications. Written on top of Flask, Plotly.js, and React.js, Dash is ideal for building data visualization apps with highly custom user interfaces in pure Python. It's particularly suited for anyone who works with data in Python. Through a couple of simple patterns, Dash abstracts away all of the technologies and protocols that are required to build an interactive web-based application. Dash is simple enough that you can bind a user interface around your Python code in an afternoon. Dash apps are rendered in the web browser. You can deploy your apps to servers and then share them through URLs. Since Dash apps are viewed in the web browser, Dash is inherently cross-platform and mobile ready. Dash ships with supercharged components for interactive user interfaces. A core set of components, written and maintained by the Dash team, is available in the dash-core-components library.

Maintainers

• Tupone Alfredo (tupone@gentoo.org) - Type: person

Upstream

• Remote IDs:
  • github: plotly/dash

<pkgmetadata>
	<maintainer type="person">
		<email>tupone@gentoo.org</email>
		<name>Tupone Alfredo</name>
	</maintainer>
	<longdescription lang="en">
		Dash is a productive Python framework for building web analytic
		applications.
		Written on top of Flask, Plotly.js, and React.js, Dash is ideal for
		building data visualization apps with highly custom user interfaces in
		pure Python. It's particularly suited for anyone who works with data in
		Python.
		Through a couple of simple patterns, Dash abstracts away all of the
		technologies and protocols that are required to build an interactive
		web-based application. Dash is simple enough that you can bind a user
		interface around your Python code in an afternoon.
		Dash apps are rendered in the web browser. You can deploy your apps to
		servers and then share them through URLs. Since Dash apps are viewed in
		the web browser, Dash is inherently cross-platform and mobile ready.
		Dash ships with supercharged components for interactive user
		interfaces. A core set of components, written and maintained by the
		Dash team, is available in the dash-core-components library.
	</longdescription>
	<use>
		<flag name="compress">Use <pkg>dev-python/flask-compress</pkg> to save bandwidth</flag>
		<flag name="diskcache">Use <pkg>dev-python/diskcache</pkg> to cache on disk</flag>
	</use>
	<upstream>
		<remote-id type="github">plotly/dash</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

• [Error] Missing md5-cache for ebuild dash-4.1.0
• [Error] Missing md5-cache for ebuild dash-3.4.0
• [Error] Missing md5-cache for ebuild dash-2.18.2

USE Flags

Manage flags for this package: euse -i <flag> -p sci-visualization/dash | euse -E <flag> -p sci-visualization/dash | euse -D <flag> -p sci-visualization/dash

Manifest