---
id: dash-daq
version: "0.6.0"
license: unclear
license_treatment: permissive
maintenance: active
---

# dash-daq — DAQ components for Dash

License: permissive · Maintenance: active · Downloads: 210.6K/mo

## 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 above — verify before relying.

Provides interactive data acquisition and control components for building web-based dashboards with Dash, including gauges, sliders, knobs, and other instrumentation-style UI elements.

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

pip install dash-daq
uv add dash-daq
poetry add dash-daq

## Installing dash-daq

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: not declared (permissive)
- Python support: unspecified
- Install friction: low
- Maintenance: active
- Downloads: 210.6K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

dash daq components, data acquisition dashboard, instrumentation ui elements, dash gauge slider knob, real-time monitoring dashboard, industrial control interface, plotly dash daq, instrumentation-ui, data-acquisition, plotly-ecosystem

[View on SkillFed](https://skillfed.io/packages/dash-daq) · [View on PyPI](https://pypi.org/project/dash-daq/)