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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Create HTML, PDF, ePub, and Kindle books using R Markdown by leveraging the bookdown package, an open-source tool designed to streamline the writing of books and comprehensive articles or reports. This package enables you to produce printer-ready publications and ebooks directly from R Markdown files, utilizing a markup language that is more accessible than LaTeX for crafting various elements such as section headings, lists, quotes, figures, tables, and citations. You can choose from a variety of output formats including PDF, LaTeX, HTML, EPUB, and Word, ensuring your content is versatile. Additionally, you have the option to incorporate dynamic graphics and interactive elements such as HTML widgets and Shiny applications. The package supports multiple programming languages, including R, C/C++, Python, Fortran, Julia, Shell scripts, and SQL, among others. Furthermore, LaTeX equations, theorems, and proofs are compatible across all output formats, enhancing the academic rigor of your work. You can easily publish your books to platforms like GitHub, bookdown.org, and any other web servers, while also benefiting from seamless integration with the RStudio IDE. Finally, with just one click, you can publish your work to https://bookdown.org, making the sharing process incredibly efficient. This combination of features makes bookdown an invaluable resource for anyone looking to produce professional-quality written works.

Description

The Code Ocean Computational Workbench enhances usability, coding, data tool integration, and DevOps lifecycle processes by bridging technology gaps with a user-friendly, ready-to-use interface. It provides readily accessible tools like RStudio, Jupyter, Shiny, Terminal, and Git, while allowing users to select from a variety of popular programming languages. Users can access diverse data sizes and storage types, configure, and generate Docker environments with ease. Furthermore, it offers one-click access to AWS compute resources, streamlining workflows significantly. Through the app panel of the Code Ocean Computational Workbench, researchers can effortlessly share findings by creating and publishing user-friendly web analysis applications for teams of scientists, all without needing IT support, coding skills, or command-line proficiency. This platform allows for the creation and deployment of interactive analyses that operate seamlessly in standard web browsers. Collaboration and sharing of results are simplified, and resources can be reused and managed with minimal effort. By providing a straightforward application and repository, researchers can efficiently organize, publish, and safeguard project-based Compute Capsules, data assets, and their research outcomes, ultimately promoting a more collaborative and productive research environment. The versatility and ease of use of this workbench make it an invaluable tool for scientists looking to enhance their research capabilities.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

GitHub Yes 
Amazon EC2 No 
Amazon S3 No 
Amazon Web Services (AWS) No 
Docker No 
Git No 
Jupyter Notebook No 
Microsoft Word Yes 
R Markdown Yes 
Terminal No 

Integrations

GitHub Yes 
Amazon EC2 Yes 
Amazon S3 Yes 
Amazon Web Services (AWS) Yes 
Docker Yes 
Git Yes 
Jupyter Notebook Yes 
Microsoft Word No 
R Markdown No 
Terminal Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Bookdown

Founded

2011

Country

United States

Website

bookdown.org

Vendor Details

Company Name

Code Ocean

Country

United States

Website

codeocean.com/product/

Product Features

Product Features

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

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