Displaying 1 to 20 from 42 results

plotly - An interactive graphing library for R

  •    R

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")).

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).

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

  •    Python

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.

mlcourse_open - OpenDataScience Machine Learning course. Both in English and Russian

  •    Python

This is the list of published articles on medium.com 🇬🇧, habr.com 🇷🇺, and jqr.com 🇨🇳. Icons are clickable. Also, links to Kaggle Kernels (in English) are given. This way one can reproduce everything without installing a single package. Assignments will be announced each week. Meanwhile, you can pratice with demo versions. Solutions will be discussed in the upcoming run of the course.




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

  •    Javascript

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.

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

  •    Javascript

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.

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.


iheatmapr - Complex, interactive heatmaps in R

  •    HTML

iheatmapr is an R package for building complex, interactive heatmaps using modular building blocks. "Complex" heatmaps are heatmaps in which subplots along the rows or columns of the main heatmap add more information about each row or column. For example, a one column additional heatmap may indicate what group a particular row or column belongs to. Complex heatmaps may also include multiple side by side heatmaps which show different types of data for the same conditions. Interactivity can improve complex heatmaps by providing tooltips with information about each cell and enabling zooming into interesting features. iheatmapr uses the plotly library for interactivity.While there are already plenty of awesome R packages for making heatmaps, including several great packages for making relatively simple interactive heatmaps (heatmaply and d3heatmap) or complex static heatmaps (ComplexHeatmap), iheatmapr seeks to make it easy to make complex interactive heatmaps.

plotlywrapper - :burrito: simple plotly python api

  •    Jupyter

Compare the following code snippets which generate the same plot. or view the notebook statically.

dash-docs - :book: The Official Dash Userguide

  •    Python

The Dash Userguide: everything that you need to know to be productive with Dash. The Dash Userguide is hosted online at: https://plot.ly/dash.

dash-drug-discovery-demo - Dash demo app for drug discovery

  •    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.

dash-hello-world - The simplest dash app

  •    Python

This app is a simple example of the capabilities of Dash developed by Plotly and acts as an intro to overall Python framework. Further examples can be found at dash/gallery/. 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.

dash-oil-and-gas-demo - Dash Demo App - New York Oil and Gas

  •    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.

dash-stock-tickers-demo-app - Dash Demo App - Stock Tickers

  •    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.

MATLAB-Online - MATLAB Online Toolbox - Create interactive charts in your web browser with MATLAB and Plotly

  •    Matlab

The latest version of the wrapper can be downloaded here. Once downloaded, run plotlysetup('your_username', 'your_api_key') to get started.

plotly-notebook-js - A package for using plotly in Tonicdev and Jupyter notebooks.

  •    Javascript

Using plotly with Jupyter requires installing the IJavascript kernel for Jupyter, then requiring the plotly-notebook-js code. You will need to be using a notebook running from the same directory as where plotly-notebook-js is installed. Using the IJavascript kernel, $$html$$ is a global variable that will output html.

Plotly.jl - A Julia interface to the plot.ly plotting library and cloud services

  •    Julia

Simply run Pkg.add("Plotly"). Plotting functions provided by this package are identical to PlotlyJS. Please consult its documentation.

react-chart-editor - Customizable React-based editor panel for Plotly charts

  •    Javascript

Customizable React-based editor panel for Plotly charts, Part of Plotly's React Component Suite for building data visualization Web apps and products. Check out the live demo here.