plotly - An interactive graphing library for R

  •        111

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")).



Related Projects

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

  •    Python

Built on top of plotly.js, 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. is MIT Licensed. Plotly graphs can be viewed in Jupyter notebooks, standalone HTML files, or hosted online on

ggvis - Interactive grammar of graphics for R

  •    R

ggvis is currently dormant. We fundamentally believe in the ideas that underlie ggvis: reactive programming is the right foundation for interactive visualisation. However, we are not currently working on ggvis because we do not see it as the most pressing issue for the R community as you can only use interactive graphics once you've successfuly tackled the rest of the data analysis process. We hope to come back to ggvis in the future; in the meantime you might want to try out plotly or creating inteactive graphics with shiny.

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 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 to learn more or visit the Plotly forum.

UpSetR - An R implementation of the UpSet set visualization technique published by Lex, Gehlenborg, et al

  •    R

UpSetR generates static UpSet plots. The UpSet technique visualizes set intersections in a matrix layout and introduces aggregates based on groupings and queries. The matrix layout enables the effective representation of associated data, such as the number of elements in the aggregates and intersections, as well as additional summary statistics derived from subset or element attributes. For further details about the original technique see the UpSet website. You can also check out the UpSetR shiny app. Here is the source code for the shiny wrapper.

ggforce - Accelerating ggplot2

  •    R

ggforce is a package aimed at providing missing functionality to ggplot2 through the extension system introduced with ggplot2 v2.0.0. Broadly speaking ggplot2 has been aimed primarily at explorative data visualization in order to investigate the data at hand, and less at providing utilities for composing custom plots a la D3.js. ggforce is mainly an attempt to address these "shortcoming" (design choices might be a better description). The goal is to provide a repository of geoms, stats, etc. that are as well documented and implemented as the official ones found in ggplot2. The inclusion of any geom, stat, position etc in ggforce is not necessarily a recommendation of their use. ggplot2 has been successful in being opinionated about what functionality should be available. This is good as it insulates the user from making bad decisions when analyzing their data (to a certain degree), but it also makes it difficult to develop novel visualizations using the ggplot2 API. ggforce on the other hand positions itself closer to the "anything goes - the user is responsible for the quality of the output". Be very aware of this responsibility! Bad visualizations lie about, distorts, and obscure the data behind them, both to you and the ones you share your visualizations with.

hrbrthemes - :lock_with_ink_pen: Opinionated, typographic-centric ggplot2 themes and theme components

  •    R

This is a very focused package that provides typography-centric themes and theme components for ggplot2. It’s a an extract/riff of hrbrmisc created by request. The core theme: theme_ipsum (“ipsum” is Latin for “precise”) uses Arial Narrow which should be installed on practically any modern system, so it’s “free”-ish. This font is condensed, has solid default kerning pairs and geometric numbers. That’s what I consider the “font trifecta” must-have for charts. An additional quality for fonts for charts is that they have a diversity of weights. Arial Narrow (the one on most systems, anyway) does not have said diversity but this quality is not (IMO) a “must have”.

ggraph - Grammar of Graph Graphics

  •    R

ggraph is an extension of ggplot2 aimed at supporting relational data structures such as networks, graphs, and trees. While it builds upon the foundation of ggplot2 and its API it comes with its own self-contained set of geoms, facets, etc., as well as adding the concept of layouts to the grammar. All of the tree concepts has been discussed in detail in dedicated blog posts that are also available as vignettes in the package. Please refer to these for more information.

ggpage - Creates Page Layout Visualizations in R

  •    R

ggpage is a package to create pagestyled visualizations of text based data. It uses ggplot2 and final returns are ggplot2 objects. In this new version I have worked to include a lot of use cases that wasn’t available in the first version. These new elements are previewed in the vignette.

ggpubr - 'ggplot2' Based Publication Ready Plots

  •    R

ggplot2 by Hadley Wickham is an excellent and flexible package for elegant data visualization in R. However the default generated plots requires some formatting before we can send them for publication. Furthermore, to customize a ggplot, the syntax is opaque and this raises the level of difficulty for researchers with no advanced R programming skills. The 'ggpubr' package provides some easy-to-use functions for creating and customizing 'ggplot2'- based publication ready plots.

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

  •    HTML

Check them out:

tidybayes - Bayesian analysis + tidy data + geoms (R package)

  •    R

tidybayes is an R package that aims to make it easy to integrate popular Bayesian modeling methods into a tidy data + ggplot workflow. Composing data for use with the model. This often means translating data from a data.frame into a list , making sure factors are encoded as numerical data, adding variables to store the length of indices, etc. This package helps automate these operations using the compose_data function, which automatically handles data types like numeric, logical, factor, and ordinal, and allows easy extensions for converting other datatypes into a format the model understands by providing your own implementation of the generic as_data_list.

DiagrammeR - Graph and network visualization using tabular data in R

  •    R

With the DiagrammeR package you can create, modify, analyze, and visualize network graph diagrams. The output can be incorporated into RMarkdown documents, integrated with Shiny web apps, converted to other graph formats, or exported as image files. This package is made possible by the htmlwidgets R package, which provides an easy-to-use framework for bringing together R and JavaScript.

ggplot2 - An implementation of the Grammar of Graphics in R

  •    R

ggplot2 is a system for declaratively creating graphics, based on The Grammar of Graphics. You provide the data, tell ggplot2 how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details. It’s hard to succinctly describe how ggplot2 works because it embodies a deep philosophy of visualisation. However, in most cases you start with ggplot(), supply a dataset and aesthetic mapping (with aes()). You then add on layers (like geom_point() or geom_histogram()), scales (like scale_colour_brewer()), faceting specifications (like facet_wrap()) and coordinate systems (like coord_flip()).

wordcloud2 - R interface to wordcloud for data visualization.

  •    Javascript

R interface to wordcloud for data visualization. Timdream's wordcloud2.js is used in this package. knitr and shiny is support in wordcloud2 package.

spectacle-editor - Drag and drop Spectacle editor.

  •    Javascript

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.

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.