Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
R Markdown documents offer complete reproducibility in data analysis. This versatile notebook interface allows users to seamlessly integrate narrative text with code, resulting in beautifully formatted outputs. It supports various programming languages such as R, Python, and SQL, making it a flexible tool for data professionals. With R Markdown, you can generate numerous static and dynamic output formats, including HTML, PDF, MS Word, Beamer presentations, HTML5 slides, Tufte-style handouts, books, dashboards, shiny applications, and scientific articles, among others. Serving as a robust authoring framework for data science, R Markdown enables you to consolidate your writing and coding efforts into a single file. When utilized within the RStudio IDE, this file transforms into an interactive notebook environment tailored for R. You can easily execute each code chunk by clicking the designated icon, and RStudio will process the code, displaying the results directly within your document. This integration not only enhances productivity but also streamlines the workflow for data analysis and reporting.
API Access
Has API
No
API Access
Has API
No
Integrations
AWS Marketplace
No
Amazon EC2
Yes
Amazon S3
Yes
Amazon SageMaker Model Building
No
Amazon Web Services (AWS)
Yes
Azure Marketplace
No
Bookdown
No
CiteDrive
No
Docker
Yes
Git
Yes
Integrations
AWS Marketplace
Yes
Amazon EC2
No
Amazon S3
No
Amazon SageMaker Model Building
Yes
Amazon Web Services (AWS)
No
Azure Marketplace
Yes
Bookdown
Yes
CiteDrive
Yes
Docker
No
Git
No
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
Yes
Mac
Yes
Linux
Yes
Chromebook
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
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Code Ocean
Country
United States
Website
codeocean.com/product/
Vendor Details
Company Name
RStudio PBC
Founded
2009
Country
United States
Website
rmarkdown.rstudio.com
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