async-dash 0.1.0a0

Async port of the official Plotly Dash library

Async Dash

async-dash is an async port of Plotly Dash library, created by replacing its flask backend with its async counterpart quart.

It started with my need to be able to create realtime dashboards with dash, specifically with event-driven architecture. Using async-dash with components from dash-extensions such as WebSocket, EventSource, etc. you can create truly events based dashboards.

Table Of Contents

• Installation
• Usage
• Motivation
• Caveats
• Alternatives
• Known Issues
• TODO

Installation

pip install async-dash

Usage

from dash import Dash, html, dcc, Output, Input

Motivation

In addition to all the advantages of writing async code, async-dash enables you to:

1. run truly asynchronous callbacks
2. use websockets, server sent events, etc. without needing to monkey patch the Python standard library
3. use quart / fastapi / starlette frameworks with your dash apps side by side
4. use HTTP/2 (especially server push) if you use it HTTP/2 enabled server such as hypercorn.

Caveats

I'm maintaining this library as a proof of concept for now. It should not be used for production. You can see the deviation from dash here.

If you do decide to use it, I'd love to hear your feedback.

Alternatives

dash-devices

dash-devices is another async port based on quart. It's capable of using websockets even for callbacks, which makes it way faster than either of dash or async-dash. However, the library stands outdated at the time this document was last updated.

PS: async-dash is highly inspired by the dash-devices. Difference being that async-dash tries to follow dash as close as possible.

Known Issues

1. Exception handling in callbacks in debug mode is broken.

TODO

1. Write examples/articles showcasing the use cases for asynchronous dash.
2. Gather reviews and feedback from the Dash Community.