$npx skillfedfor your agent

dash-daq

DAQ components for Dash

Worth itPyPI Dynamic ContentReleased Mar 2025210.6K downloads / mopermissive licensePure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — dash_daq-0.6.0-py3-none-any.whl
v0.6.0 · released 2025-03-11 · 1 runtime deps: dash

Yes. dash_daq is actively maintained, has no known vulnerabilities, installs with minimal friction, and is permissively licensed. Install it if you are building a Dash application that needs instrumentation-style UI components for monitoring or controlling equipment; skip it if your dashboard uses only standard charts and tables.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Low friction: single pure-Python dependency on dash, distributed as a wheel.
  • Actively maintained with recent release (521 days ago) and ongoing commits.

License · maintenance · safety

permissive license (permissive) — MIT license permits commercial and private use with minimal restrictions; permissive treatment means you can use this freely in most projects.

last release 2025-03-11 (521 days) · last repo commit 2026-04-22 · 145 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 210,589 downloads/mo, #9,491 on PyPI

Verify before relying

pip install dash_daq

import dash_daq as daq
import dash

app = dash.Dash(__name__)
app.layout = daq.Gauge(value=50, label="Example")

if __name__ == '__main__':
    app.run_server()
  • Specific component types and their capabilities beyond the demo applications listed
  • Browser compatibility and minimum Dash version requirement
  • Performance characteristics with large numbers of components or high-frequency updates
Same gist for agents: .md · .json

What it is and what it does

dash_daq extends Dash with a library of specialized UI components designed for data acquisition and instrumentation interfaces. It provides gauge displays, sliders, knobs, and other controls styled to resemble laboratory and industrial equipment, making it straightforward to build web dashboards that monitor or control real-world systems.

The package depends only on dash and installs as a pure Python wheel with no compiled dependencies. It is actively maintained by Plotly and used in production demo applications ranging from multimeters to pressure gauges to stepper motor controllers. The component set is designed to integrate seamlessly into Dash applications, allowing developers to mix standard Dash components with specialized DAQ controls in a single callback-driven interface.

Use it for

  • Build a web interface for laboratory equipment monitoring that displays real-time sensor readings using gauge and numeric display components.
  • Create an industrial control dashboard where operators adjust setpoints and parameters using knobs, sliders, and toggle switches styled as physical instruments.
  • Prototype a data acquisition system frontend that collects and visualizes measurements from multiple sensors in a single web application.
  • Display live telemetry from scientific instruments (multimeters, oscilloscopes, pressure sensors) in a browser-based control room.
  • Build a test automation UI where engineers configure test parameters and observe results using instrumentation-style components.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

dash_daq is actively maintained, has no known vulnerabilities, installs with minimal friction, and is permissively licensed. Install it if you are building a Dash application that needs instrumentation-style UI components for monitoring or controlling equipment; skip it if your dashboard uses only standard charts and tables.

Install

dash-daq on PyPI

Before you install

Low friction: single pure-Python dependency on dash, distributed as a wheel. Actively maintained with recent release (521 days ago) and ongoing commits.

License in practice

MIT license permits commercial and private use with minimal restrictions; permissive treatment means you can use this freely in most projects.

Quickstart

pip install dash_daq

import dash_daq as daq
import dash

app = dash.Dash(__name__)
app.layout = daq.Gauge(value=50, label="Example")

if __name__ == '__main__':
    app.run_server()

Verify before relying

  • Specific component types and their capabilities beyond the demo applications listed
  • Browser compatibility and minimum Dash version requirement
  • Performance characteristics with large numbers of components or high-frequency updates

Package facts

Licensepermissive license permissive
Python supportNot specified
Install frictionLow. Pure-Python wheel
Runtime dependencies
1 package
dash
MaintenanceActively maintained 521 days since the last release
Last repo commit
First released
Downloads210,589 / month, #9,491 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
License :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3

Evidence: dash_daq-0.6.0-py3-none-any.whl

Tags

Capabilities
dash daq componentsdata acquisition dashboardinstrumentation ui elementsdash gauge slider knobreal-time monitoring dashboardindustrial control interfaceplotly dash daq
Topics
instrumentation-uidata-acquisitionplotly-ecosystem

Let your AI agent find packages like this

Example. Real query, live index.

You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.

wish › “dash daq components”

  • dash-daqProvides interactive data acquisition and control components for…
  • dash-html-componentsProvides vanilla HTML components for use in Dash applications,…
  • dash-core-componentsProvides a suite of React components for building interactive web…

Give your agent the search over MCP, or paste the wish link into any chat.

More Dynamic Content packages

MarkupSafe Worth it
PyPI · Dynamic Content · released Sep 2025

MarkupSafe provides a text object that escapes special characters so untrusted strings can be safely embedded in HTML and XML without injection attacks.

BSD-3-Clausecompiled wheel · 3.9+aging
797.1Mdownloads / mo
Jinja2 Worth it
PyPI · Dynamic Content · released Mar 2025

Jinja2 is a templating engine that renders dynamic content by combining templates with Python-like syntax and data, supporting template inheritance, macros, autoescaping, and sandboxed execution.

BSD-3-Clausepure Python · 3.7+aging
718.6Mdownloads / mo
soupsieve Worth it
PyPI · Python Modules · released Aug 2026

Soupsieve is a CSS selector library designed to work with Beautiful Soup 4 to select, match, and filter HTML and XML elements using modern CSS selectors from CSS level 1 through CSS level 4 specifications.

Install it if you use Beautiful Soup for HTML or XML parsing and want modern CSS selector support.

MITpure Python · 3.10+
428.6Mdownloads / mo
Werkzeug Worth it
PyPI · Application Frameworks · released Apr 2026

Werkzeug is a WSGI utility library providing request/response objects, URL routing, an interactive debugger, HTTP utilities, and a development server for building web applications.

BSD-3-Clausepure Python · 3.9+
268.1Mdownloads / mo
Flask Worth it
PyPI · Application Frameworks · released Feb 2026

Flask is a lightweight WSGI web application framework for building web applications in Python, from simple single-page sites to complex multi-route applications.

BSD-3-Clausepure Python · 3.9+
211.4Mdownloads / mo
Mako Worth it
PyPI · Dynamic Content · released Aug 2026

Mako compiles Python-embedded templates into Python modules for fast rendering, supporting layout inheritance, custom functions, and direct Python expressions within template syntax.

MITpure Python · 3.10+
201.7Mdownloads / mo

See also dash-table · dash-core-components · dash · dash-extensions · dash-html-components · dash-svg · nidaqmx · dash-cytoscape · dash-ag-grid · dash-mantine-components