Displaying 1 to 20 from 27 results

dash - Interactive, Reactive Web Apps for Python. Dash Is Productive™

  •    Python

Build on top of Plotly.js, React, and Flask, Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical python code. Here’s a 43-line example of a Dash App that ties a Dropdown to a D3.js Plotly Graph. As the user selects a value in the Dropdown, the application code dynamically exports data from Google Finance into a Pandas DataFrame. This app was written in just 43 lines of code (view the source).

dash-sample-apps - Open-source demos hosted on Dash Gallery

  •    Jupyter

This repository hosts the code for over 100 open-source Dash apps written in Python or R. They can serve as a starting point for your own Dash app, as a learning tool to better understand how Dash works, as a reusable templates, and much more. Most apps in this repository are hosted on Dash Gallery, which is our internal server running on Dash Enterprise Kubernetes. Note that you can find both open-sourced apps and demos for our licensed products, including Design Kit and Snapshot Engine. If you are interested in learning more, don't hesitate to reach out to get a demo. If you want to only see the open-sourced apps, select the "Open Source" tag.

hexapod-robot-simulator - A hexapod robot simulator built from first principles

  •    Python

You might be interested in checking out my rewrite in Javascript, live at: https://hexapod.netlify.app/ , which is like 10000000x faster. If you'd like to build you're own user interface with Node, you can download the algorithm alone as a package in the npm registry: Hexapod Kinematics Library. There is also a "fork" modified where you can use the app to control a physical hexapod robot as you can see in the gif below.

socialsentiment - Sentiment Analysis application created with Python and Dash, hosted at socialsentiment

  •    Python

Live-streaming sentiment analysis application created with Python and Dash, hosted at SocialSentiment.net. This application was created in conjunction with the Dash tutorial series.

jupyter-dash - Develop Dash apps in the Jupyter Notebook and JupyterLab

  •    Python

This library makes it easy to develop Plotly Dash apps interactively from within Jupyter environments (e.g. classic Notebook, JupyterLab, Visual Studio Code notebooks, nteract, PyCharm notebooks, etc.). See the notebooks/getting_started.ipynb for more information and example usage.

plotly_express - Plotly Express - Simple syntax for complex charts. Now integrated into plotly.py!

  •    Python

If you follow the plotly Getting Started instructions for installation, you will get access to plotly.express. However, if you have existing code that imports from plotly_express explicitly and you don't wish to change it, you can still install the latest version, which just exposes plotly.express under the plotly_express namespace.

dash-table - A First-Class Interactive DataTable for Dash

  •    Python

An interactive DataTable for Dash. Dash DataTable is an interactive table component designed for viewing, editing, and exploring large datasets.

dashR - Dash for R - An R interface to the Dash ecosystem for creating analytic web applications

  •    Javascript

🛑 Make sure you're on at least version 3.0.2 of R. You can see what version of R you have by entering version in the R CLI. CRAN is the easiest place to download the latest R version. The R package dash makes it easy to create reactive web applications powered by R. It provides an R6 class, named Dash, which may be initialized via the new() method.

jupyterlab-dash - An Extension for the Interactive development of Dash apps in JupyterLab

  •    Python

This project has been replaced by the more capable JupyterDash project, and is no longer maintained. JuptyerDash supports multiple Jupyter contexts (not only JupyterLab), supports Windows as well as Linux and MacOS, supports JupyterLab 2.0, and adheres more closely to the traditional Dash API. Note: For use in JupyterLab, JupyterDash makes use of the jupyterlab-dash JupyterLab extension that was originally developed in this repository. Development of this extension has also been moved to the JupyterDash repository.

dash-cytoscape - Interactive network visualization in Python and Dash, powered by Cytoscape.js

  •    Python

A Dash component library for creating interactive and customizable networks in Python, wrapped around Cytoscape.js. If you want to install the latest versions, check out the Dash docs on installation.

crypto-whale-watching-app - Python Dash app that tracks whale activity in cryptocurrency markets.

  •    Python

Welcome! This is a Python-based Dash app meant to track whale activity in buy / sell walls on crypto-currency exchanges (presently just operational for GDAX, but more exchanges to come). This document aims to explain the purpose, functionality, and future of this project. Please do share this with your fellow coders / traders / crypto-aficionados, donate via the donation addresses included in the "Support Needed" section below, and contribute to the future of this project by calling out issues, requesting new features, and submitting pull requests to improve the app. If you want to use a hosted version of the app, check out this link here which has been graciously hosted by a member of the Ethereum community while we raise money via donations to migrate to AWS. If for any reason the page does not load properly, feel free to let us know via an issue, but more than likely it is because we are updating to the newest version of the codebase or performing maintenance.


  •    Julia

🚧 Dash.jl is a work-in-progress. Feel free to test the waters and submit issues. Built on top of Plotly.js, React and HTTP.jl, Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Julia code.

dash-core-components - A dash component starter pack :stars:

  •    Javascript

This package provides the core React component suite for Dash. (and then repeat step 3).

dash-recipes - A collection of scripts and examples created while answering questions from the greater Dash community

  •    Python

This repo contains all of the Dash examples that I have created while helping out the Dash community on https://community.plot.ly/c/dash. These examples are unordered and unorganized and they might not be helpful (yet) without the context that the Dash community forum provided while creating them.

dash-redis-celery-periodic-updates - A Dash demo app tying together Dash, Redis, and Celery to periodically update an app's data

  •    Python

Connect to a Redis instance from Dash. Use Celery for asynchronous (periodic or user-triggered) tasks.

dash-redis-demo - Connect to Redis from Dash

  •    Python

This app demonstrates how to connect to a Redis database from Dash. It works out of the box with the Redis server built in to Dash On Premise but could be adapted to work with other servers such as Heroku Redis or your local Redis server.

dash-svm - Interactive SVM Explorer, using Dash and scikit-learn

  •    Python

This is a demo of the Dash interactive Python framework developed by Plotly. Dash abstracts away all of the technologies and protocols required to build an interactive web-based application and is a simple and effective way to bind a user interface around your Python code. To learn more check out our documentation.

cdsdashboards - JupyterHub extension for ContainDS Dashboards

  •    Python

A Dashboard publishing solution for Data Science teams to share results with decision makers. Run a private on-premise or cloud-based JupyterHub with extensions to instantly publish apps and notebooks as user-friendly interactive dashboards to share with non-technical colleagues.

dash-detr - A User Interface for DETR built with Dash. 100% Python.

  •    Python

A User Interface for DETR built with Dash. 100% Python. Click here for a demo. The release of DETR: End-to-End Object Detection with Transformers showed significant improvement in real-time object detection and panoptic segmentation (PS), while greatly simplifying the architecture. As a mean to test the model, we decided to build a simple Dash app that let you experiment and play with the model through a user interface.

dash-network - A tutorial & demo on how to port the D3 force-layout network diagram to Dash

  •    Javascript

This repository demonstrates the principles of combining D3 with React, using a D3 force-layout network graph as an example, and was created from the dash-component-boilerplate template. This component allows dynamically changing the nodes and links and their properties, and responding to clicks on individual nodes. Following the structure laid out in the D3 + React tutorial we make two files: d3/network.js for the D3 component and components/Network.react.js for its React/Dash wrapper. Following the dash-component-boilerplate example, this component is then exported using index.js which is imported by the main component in App.js.

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