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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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

D2C provides a solution for developers and businesses to streamline their DevOps processes by automating tasks such as deployment, configuration, scaling, and application management on servers. Within the platform, users have access to 18 pre-built services, which include widely-used databases, HTTP servers, and interpreters, and it also allows for easy integration of additional services from the official Docker Hub or custom Docker images. Currently, D2C is compatible with major cloud providers like AWS, Google Cloud, DigitalOcean, Vultr, and UpCloud, while also offering the ability to connect personal hosts running Ubuntu 18.04/20.04 or Debian 8/9. The platform simplifies scaling and load balancing, making it straightforward to construct a well-balanced infrastructure, modify database settings, and adjust host sizes. With cutting-edge application management tools such as Docker and Ansible integrated into D2C, users can achieve one-click deployment from their repositories to cloud servers within minutes. In addition, D2C assists in crucial tasks like load balancing, monitoring, and logging by providing a selection of ready-to-use tools, empowering users to manage their IT infrastructure directly from an intuitive control panel. This flexibility and efficiency make D2C an ideal choice for teams looking to enhance their operational capabilities.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon EC2
Amazon S3
Amazon Web Services (AWS)
Docker
Git
GitHub
Jupyter Notebook
Terminal

Integrations

Amazon EC2
Amazon S3
Amazon Web Services (AWS)
Docker
Git
GitHub
Jupyter Notebook
Terminal

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$50.00/month/user
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Code Ocean

Country

United States

Website

codeocean.com/product/

Vendor Details

Company Name

D2C

Founded

2016

Country

Russian Federation

Website

d2c.io

Product Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Product Features

Application Development

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development

Alternatives

R Markdown Reviews

R Markdown

RStudio PBC

Alternatives