Development Tools

Dash – build interactive analytical web applications

Dash is an application framework for creating interactive analytical interfaces that run in a web browser. It is particularly useful where a conventional website needs to expose data, calculations or visualisations through a set of controls rather than through static reports.

Developers define the visible layout and separately describe how outputs respond to user input. This distinction makes interactive workflows easier to reason about, while leaving room to integrate existing data-processing code. Dash applications can range from focused internal tools to larger multipage portals used by teams and customers.

Unlike a general-purpose content framework, Dash makes the relationship between inputs and analytical outputs a first-class development concern. A filter, date selector or selected chart region can drive multiple other elements on the page, making it useful for exploratory reporting and operational monitoring.

This is free and open source software.

Key Features

  • Declarative layout built from HTML elements, controls and reusable components.
  • Callbacks connect component inputs and state to outputs without manually wiring browser events.
  • Interactive Plotly charts support selections, zooming, hovering and filtering.
  • Pattern-matching callbacks can respond to dynamically created components.
  • Client-side callbacks support interactions that do not need a server round trip.
  • Multipage applications use page registration and navigation facilities.
  • Background callbacks accommodate tasks that take longer than an ordinary request.
  • Data tables and third-party components extend analytical interfaces.
  • Server-side endpoints and integration with existing services are available through its underlying web stack.
  • Development tools help inspect callbacks and diagnose application behaviour.
  • Callback state distinguishes values used by an operation from those that trigger it.
  • Component loading states help users understand when analytical updates are pending.
  • Persistence options can retain selected control values across sessions or refreshes.

Website: plotly.com/dash
Support:
Developer: Plotly
License: MIT License

Dash

Dash is written in Python. Learn Python with our recommended free books and free tutorials.


Related Software

Python Frameworks
DjangoHigh-level web application framework
DashBuild analytical web applications without JavaScript
TornadoFramework, scalable web server, and asynchronous networking library
TurboGearsFramework based on the ObjectDispatch paradigm
MasoniteDev tool with all the features needed for rapid development
RobynPython web framework designed for high performance
ReflexLibrary to build full-stack web apps in pure Python
FrappeLow-code, metadata-driven web application framework
ZopeObject-oriented web application server
EmmettFull-stack Python web framework
PY4WEBSuccessor to web2py
CubicWebSemantic web framework
ReahlPython-only web framework
django-hotsauceRapid web application development and testing
Jam.pyWeb front-end application generator
GrokWeb framework based on Zope Toolkit technology
web2pyFull-featured, full-stack framework for rapid development

Read our verdict in the software roundup.

Python Visualization Packages
matplotlibPython 2D plotting library which produces publication quality figures
DiagramsDraw the cloud system architecture in Python code
BokehElegant, concise construction of versatile graphics
DashPython framework for building analytical web applications
seabornPython visualization library based on matplotlib
PlotlyInteractive, browser-based graphing library for Python
VisPyVisualize massive datasets in real time
Vega-AltairDeclarative Visualization in Python
plotnineGrammar of graphics for Python
PyQtGraphPython graphics and GUI library built on PyQt4 / PySide and numpy
bqplotInteractive Plotting Framework for the Jupyter Notebook
VaexFast visualization of big data
PyVista3D plotting and mesh analysis
foliumVisualize data in a Leaflet map
HoloViewsMake Data Analysis and Visualization Seamless
DatashaderGenerates aggregate arrays and representations of them as images
ytMulti-code Toolkit for Analyzing and Visualizing Volumetric Data
GlumpyIntuitive interface between NumPy and modern OpenGL
GeoViewsExplore and visualize geographical, meteorological, and oceanographic datasets
PygalDynamic SVG charting library
GlueMulti-dimensional linked-data exploration

Read our verdict in the software roundup.


Best Free and Open Source Software LinuxLinks helps you discover the best free and open source software for Linux. Explore our extensive collection of recommended applications, including alternatives to popular proprietary software.

We also publish software reviews, Linux tutorials, hardware reviews, free programming books and articles covering the wider open source community. Browse our Linux resources to discover more.

Know a useful free and open source Linux application we haven't covered? Suggest a program for inclusion.

Has your software been featured on LinuxLinks? Display one of our Featured on LinuxLinks badges on your website or GitHub README.
Subscribe

Please read our Comment Policy before commenting.

Notify of
guest
0 Comments
Oldest
Newest Most Voted