## Plotly Dash Tutorials
- [Introducing Plotly Dash](https://medium.com/@plotlygraphs/introducing-dash-5ecf7191b503) - A high level introduction to Dash by Chris Parmer, the author of Dash. This essay was released as part of Dash's official launch (June 21, 2017).
- [Plotly's tutorials - Part 1: App Layout](https://plot.ly/dash/getting-started)
- [Plotly's tutorials - Part 2: Interactivity](https://plot.ly/dash/getting-started-part-2)
- [Plotly's tutorials - Part 3: Interactive Graphing](https://plot.ly/dash/interactive-graphing)
- [Plotly's tutorials - Part 4: Callbacks With State](https://plot.ly/dash/state)
- [Interactive Web-Based Dashboards in Python](https://alysivji.github.io/reactive-dashboards-with-dash.html) - How the MVC model pertains to Dash and a walkthrough of building an app.
- [Using Plotly’s Dash to deliver public sector decision support dashboards](https://medium.com/a-r-g-o/using-plotlys-dash-to-deliver-public-sector-decision-support-dashboards-ac863fa829fb) - Buiding a complex dashboard step-by-step.
- [OPS CodeDay: Dash Plotly Map + Graph](https://radumas.info/blog/tutorial/2017/08/10/codeday.html) - How to use Jupyter notebooks in tandom with Dash to create mapping viz.
- [Creating Interactive Visualizations with Plotly’s Dash Framework](http://pbpython.com/plotly-dash-intro.html) - High level overview of how to get started with Dash.
- [Finding Bigfoot with Dash, Part 1](https://timothyrenner.github.io/datascience/2017/08/08/finding-bigfoot-with-dash-part-1.html) - Walkthrough of building a dashboard of Bigfoot sightings. [Part 2](https://timothyrenner.github.io/datascience/2017/08/09/finding-bigfoot-with-dash-part-2.html), [Part 3](https://timothyrenner.github.io/datascience/2017/08/10/finding-bigfoot-with-dash-part-3.html).
- [Visualize Earthquakes with Plotly Dash](https://www.giacomodebidda.com/visualize-earthquakes-with-plotly-dash/) - Environmental scan of alternatives to Dash followed with a tutorial.
- [ARGO Labs - Plotly Dash Tutorial (Video)](https://www.youtube.com/watch?v=yfWJXkySfe0) - Detailed introduction to creating interactive dashboards.
- [Data Visualization GUIs with Dash and Python (Video playlist)](https://www.youtube.com/watch?v=J_Cy_QjG6NE&list=PLQVvvaa0QuDfsGImWNt1eUEveHOepkjqt) - Five-part series exploring Dash features.
- [Interactive Visualization of Machine Learning and Computer Vision with Dash](https://www.youtube.com/watch?v=3F5AR-uUqJc) - Official introduction video.
- [Webinar: Converting React components to Dash components](https://www.youtube.com/watch?v=wifoPPRgG_I) - Official tutorial about how to convert React components to Dash components using the Dash Component Boilerplate cookiecutter template.
- [Interactive Image Processing with Dash-Canvas](https://www.youtube.com/watch?v=LKXSFBB5ccI) - Official introduction video to the Dash Canvas components.
- [Dash Cytoscape Component](https://www.youtube.com/watch?v=snXcIsCMQgk) - Official introduction video to the Dash Cytoscape components.
- [An introduction to Dash DataTable](https://www.youtube.com/watch?v=dueejcyrYh8) - Official introduction video to the Dash DataTable components.

## Component Libraries
- [Tutorial on creating custom Dash components with React.js.](https://plot.ly/dash/plugins)
- [Dash Bio Components](https://dash.plot.ly/dash-bio) - Suite of bioinformatics components that make it simpler to analyze and visualize bioinformatics data and interact with them in a Dash application.
- [Dash Canvas Components](https://dash.plot.ly/canvas) - Module for image annotation and image processing using Dash.
- [Awesome React Components](https://github.com/brillout/awesome-react-components) - Catalog of React.js components potentially interesting to be wrapped into Dash components.
- [Awesome React](https://github.com/enaqx/awesome-react) - Helpful resources for developing React.js components.
- [Dash Core Components](https://github.com/plotly/dash-core-components)
- [Dash Cytoscape Component](https://dash.plot.ly/cytoscape) - Graph visualization component for creating easily customizable, high-performance, interactive, and web-based networks.
- [Dash DataTable Component](https://dash.plot.ly/datatable) - Interactive table that supports rich styling, conditional formatting, editing, sorting, filtering, and more.
- [Dash DAQ Components](https://dash.plot.ly/dash-daq) - Set of controls that make it simpler to integrate data acquisition and controls into your Dash applications.
- [Dash ECharts Components](https://github.com/mergeforward/dash_echarts) - ECharts(V5) Components for Dash.
- [Dash HTML Components](https://github.com/plotly/dash-html-components)
- [mydcc](https://github.com/jimmybow/mydcc) - Extension of Dash Core Components.
- [sd-material-ui](https://github.com/StratoDem/sd-material-ui) - StratoDem Analytics implementations of material-ui components for Dash.
- [sd-range-slider](https://github.com/StratoDem/sd-range-slider) - Range Slider Dash component.
- [dj-plotly-dash](https://github.com/pikhovkin/dj-plotly-dash) - Plotly Dash fork for Django.
- [dash-flexbox-grid](https://github.com/pikhovkin/dash-flexbox-grid) - Wrapper around react-flexbox-grid for Plotly Dash.
- [dash-color-picker](https://github.com/vivekvs1/dash-color-picker) - Wrapper around react-color.
- [dash-dual-listbox](https://github.com/vivekvs1/dash-dual-listbox) - Wrapper around react-duallist.
- [dash-bootstrap-components](https://dash-bootstrap-components.opensource.asidatascience.com/) - Layout engine, default styles and high-level components based on Bootstrap.
- [dash-uploader](https://github.com/np-8/dash-uploader) - Upload component for Dash. Supports large data files.

## App Examples
- [Oil and Gas Explorer](https://plot.ly/dash/gallery/new-york-oil-and-gas/) - Explore oil and gas production over time and with linked visualisations. [Source Code.](https://github.com/plotly/dash-oil-and-gas-demo)
- [Uber Rides](https://plot.ly/dash/gallery/uber-rides/) - Displays all of the Uber rides in New York City in 2014. Pandas on the backend filters a 0.5gig datafile. [Source Code.](https://github.com/plotly/dash-uber-rides-demo)
- [Simple Stock Tickers](https://plot.ly/dash/gallery/stock-tickers/) - Queries data from Google Finance and displays the results as candlestick charts. [Source Code.](https://github.com/plotly/dash-stock-tickers-demo-app)
- [Volatility Surface Explorer](https://plot.ly/dash/gallery/volatility-surface) - Fetches CBOE options chain data from Yahoo Finance with Pandas Datareader and calculates the implied volatility of each option visualised in a 3D mesh chart. [Source Code.](https://github.com/plotly/dash-volatility-surface)
- [Drug Discovery](https://plot.ly/dash/gallery/drug-explorer/) - Displays a description of the drug as you hover over points in the graph. [Source Code.](https://github.com/plotly/dash-drug-discovery-demo/)
- [Live Wind Streaming](https://plot.ly/dash/gallery/live-wind-data/) - Continually queries a SQL database and displays live charts of wind speed and wind direction. [Source Code.](https://github.com/plotly/dash-wind-streaming)
- [Recession in 255 Charts](https://plot.ly/dash/gallery/recession-report/) - Adapted from NYTimes's excellent [How the Recession Reshaped the Economy in 255 Charts](https://www.nytimes.com/interactive/2014/06/05/upshot/how-the-recession-reshaped-the-economy-in-255-charts.html). [Source Code.](https://github.com/plotly/dash-recession-report-demo)
- [3D Yield Curve](https://plot.ly/dash/gallery/yield-curve/) - Adapted from NYTimes's excellent [A 3-D View of a Chart That Predicts The Economic Future: The Yield Curve](https://www.nytimes.com/interactive/2015/03/19/upshot/3d-yield-curve-economic-growth.html). [Source Code.](https://github.com/plotly/dash-yield-curve)
- [Finding Bigfoot](https://bigfoot-sightings-dash.herokuapp.com/) - Several plots (including a map), a grid layout built with Bootstrap, interactions with an input field, and caching (See also [Tutorials](#tutorials)). [Source Code.](https://github.com/timothyrenner/bigfoot-dash-app)
- [Visualize Earthquakes with Plotly Dash](https://belle-croissant-54211.herokuapp.com/) - Great UI and usage of geospatial analytics with Dash. Includes [basic unit tests](https://github.com/jackdbd/dash-earthquakes/tree/master/tests). [Source Code.](https://github.com/jackdbd/dash-earthquakes)
- [Street Quality IDentification [SQUID]](https://squid-syracuse.herokuapp.com/) - Highlights poor quality roads with maps, data table and photos of the offending piece of road. [Source Code.](https://github.com/amyoshino/SQUID-Syracuse-Dashboard)
- [VoxelViz](http://lukas-snoek.com/voxelviz) - Competition winning Visualization tool for (f)MRI data-sets. [Source Code.](https://github.com/lukassnoek/VoxelViz)
- [Traffic Accidents UK](https://traffic-accidents-uk.herokuapp.com/) - Explore the 140,008 traffic accidents in the UK in 2015. [Source Code.](https://github.com/richard-muir/uk-car-accidents)
- [New York Taxi Rides](https://dash.vaex.io/) - A full year of the YellowCab Taxi company data from their prime, numbering well over 100 million trips. Dash + Vaex dataframe with over a 100 million rows. [Source Code.](https://github.com/vaexio/dash-120million-taxi-app)
- [GutenSearch](https://gutensearch.com/) - Look inside the books of Project Gutenberg. [Source Code.](https://github.com/cordb/gutensearch)

## Idiomatic examples
- [Dash recipes](https://github.com/plotly/dash-recipes) - A collection of scripts and examples created of the plotly team while answering questions from the greater Dash community.

## Galleries
- [Plotly App Gallery](https://plot.ly/dash/gallery) - Plotly's collection of Dash applications.
- [Dash Recipes GitHub](https://github.com/plotly/dash-recipes) - Collection of scripts and examples created while answering questions from the greater Dash community.
- [Dash Data Dashboards and Apps](https://www.dashboardom.com/) - Collection of data dashboards with real life data, for various topics, as well as a few apps for online marketing built with Dash.

## Cheat sheets
- [plotly.py Cheat Sheet](https://images.plot.ly/plotly-documentation/images/python_cheat_sheet.pdf)