dash-daq
DAQ components for Dash
Decision gist · record as of 2026-08-14
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
Alternatives
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
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.
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
| License | permissive license permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagedash |
| Maintenance | Actively maintained 521 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 210,589 / month, #9,491 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None 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
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 provides a text object that escapes special characters so untrusted strings can be safely embedded in HTML and XML without injection attacks.
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.
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.
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.
Flask is a lightweight WSGI web application framework for building web applications in Python, from simple single-page sites to complex multi-route applications.
Mako compiles Python-embedded templates into Python modules for fast rendering, supporting layout inheritance, custom functions, and direct Python expressions within template syntax.
See also dash-table · dash-core-components · dash · dash-extensions · dash-html-components · dash-svg · nidaqmx · dash-cytoscape · dash-ag-grid · dash-mantine-components