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

•    Python

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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.

gdax cryptocurrency ethereum litecoin bitcoin cryptocurrency-exchanges python3 dash ethereum-blockchain bitcoin-api bitcoin-price cryptocurrency-price-ticker cryptocurrency-prices litecoin-price ethereum-price gdax-api gdax-python plotly plotly-dash

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

•    Python

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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 plotly data-visualization data-science gui-framework flask react finance bioinformatics technical-computing charting plotly-dash web-app

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

•    Python

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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.

simulator robot robotics kinematics plotly inverse-kinematics dash hexapod hacktoberfest plotly-dash plotly-python plotly-example

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

•    Python

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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.

visualization jupyter plotly data-visualization plotly-dash plotly-express

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

•    Jupyter

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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.

plotly dash plotly-dash

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

•    Python

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

react data-science table plotly data-visualization dash plotly-dash

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

•    Javascript

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🛑 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.

react data-science r plotly data-visualization web-application dash plotly-dash

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

•    Python

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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.

data-science bioinformatics plotly network-graph computational-biology dash biopython graph-theory cytoscape network-visualization cytoscapejs plotly-dash

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

•    Python

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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.

jupyter jupyter-notebook dash plotly-dash

Dash

•    Julia

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🚧 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.

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

•    Python

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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.

jupyter dash jupyterlab plotly-dash jupyterlab-extension

plotly - An interactive graphing library for R

•    R

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An R package for creating interactive web graphics via the open source JavaScript graphing library plotly.js.NOTE: The CRAN version of plotly is designed to work with the CRAN version of ggplot2, but at least for the time being, we recommend using the development versions of both plotly and ggplot2 (devtools::install_github("hadley/ggplot2")).

r ggplot2 data-visualization d3js shiny plotly webgl

plotly.R - An interactive graphing library for R

•    R

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An R package for creating interactive web graphics via the open source JavaScript graphing library plotly.js. Moreover, since ggplotly() returns a plotly object, you can apply essentially any function from the R package on that object. Some useful ones include layout() (for customizing the layout), add_traces() (and its higher-level add_*() siblings, for example add_polygons(), for adding new traces/data), subplot() (for combining multiple plotly objects), and plotly_json() (for inspecting the underlying JSON sent to plotly.js).

webgl ggplot2 r shiny plotly data-visualization rstats r-package d3js

spectacle-editor - Drag and drop Spectacle editor.

•    Javascript

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An Electron based app for creating, editing, saving, and publishing Spectacle presentations. With integrated Plotly support.This project is a joint effort between Formidable and Plotly.

falcon-sql-client - Free, open-source SQL client for Windows and Mac 🦅

•    Javascript

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Falcon in a free, open-source SQL editor with inline data visualization. It currently supports connecting to RedShift, MySQL, PostgreSQL, IBM DB2, Impala, MS SQL, and SQLite. Visit plot.ly to learn more or visit the Plotly forum.

electron visualization plotly sql mysql-client postgresql falcon redshift postgres elasticsearch drill s3 persistent connector

IPython-plotly - A collection of data science IPython notebooks with Plotly graphs

•    HTML

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Check them out: plot.ly/ipython-notebooks.

plotly.py - An interactive, browser-based graphing library for Python :sparkles:

•    Python

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Built on top of plotly.js, plotly.py is a high-level, declarative charting library. plotly.js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more. plotly.py is MIT Licensed. Plotly graphs can be viewed in Jupyter notebooks, standalone HTML files, or hosted online on plot.ly.

d3 plotly plotlyjs webgl dashboard visualization graph-library

falcon - Free, open-source SQL client for Windows and Mac 🦅

•    Javascript

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Falcon is a free, open-source SQL editor with inline data visualization. It currently supports connecting to RedShift, MySQL, PostgreSQL, IBM DB2, Impala, MS SQL, Oracle, SQLite and more (for connecting to Oracle, please, see here the instructions to install the required free Oracle Instant Client). Visit plot.ly to learn more or visit the Plotly forum.

electron visualization plotly sql mysql-client postgresql falcon redshift postgres elasticsearch drill s3 persistent connector

plotly_matlab - Plotly Graphing Library for MATLAB®

•    MATLAB

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MATLAB is a registered trademarks of The MathWorks, Inc. The latest version of the wrapper can be downloaded here.

d3 webgl data-science matlab plotly data-visualization d3js technical-computing

spectacle-editor - Drag and drop Spectacle editor.

•    Javascript

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An Electron based app for creating, editing, saving, and publishing Spectacle presentations. With integrated Plotly support. This project is a joint effort between Formidable and Plotly.