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What is Ekoru?

When you click on an advertisement, you help fund projects such as the Big Blue Ocean Cleanup, which focuses on keeping our oceans clean, and Operation Posidonia, dedicated to preserving aquatic plant life. The search results will showcase relevant sponsored links that are clearly marked as advertisements. Each click on these links generates funding that goes directly to our partners who are committed to ocean conservation. By using the Ekoru app for your daily searches, you contribute to ocean health, as each search aids in the replanting of essential seagrass and helps combat climate change through Operation Posidonia. Researchers from institutions like the University of New South Wales and the Sydney Institute of Marine Science are dedicated to addressing climate change by restoring ocean habitats with seagrass, a natural blue carbon sink that is curiously green. Ekoru.org is powered by run-of-river hydroelectric energy and operates within a data center that utilizes natural convection cooling instead of conventional air conditioning, ensuring that our servers emit no CO2. This dedication to eco-friendly practices not only bolsters environmental initiatives but also empowers users to take part in a broader movement for ecological restoration, fostering a sense of community and shared responsibility for the planet. By engaging with these initiatives, users become active participants in the fight against climate change and the preservation of marine ecosystems.

What is Code Ocean?

The Code Ocean Computational Workbench significantly improves usability, coding, data tool integration, and DevOps lifecycle processes by effectively closing technology gaps with an intuitive, ready-to-use interface. Users have immediate access to essential tools such as RStudio, Jupyter, Shiny, Terminal, and Git, while also having the flexibility to choose from a range of widely-used programming languages. This platform accommodates various data sizes and storage types, allowing users to configure and easily generate Docker environments. Additionally, it facilitates one-click access to AWS compute resources, greatly enhancing workflow efficiency. Through the app panel, researchers can seamlessly share their findings by creating and publishing user-friendly web analysis applications for collaborative teams of scientists, all without requiring IT support, programming skills, or command-line expertise. The platform enables the development and deployment of interactive analyses that run effortlessly in standard web browsers. Collaboration is streamlined, and the management of resources is simplified, allowing for easy reuse. By offering an organized application and repository, researchers can efficiently manage, publish, and protect project-based Compute Capsules, data assets, and their findings, fostering a more collaborative and productive research environment. The Code Ocean Computational Workbench’s adaptability and user-friendly nature make it an essential resource for scientists aiming to expand their research capabilities, ultimately paving the way for innovative discoveries. With its powerful features and ease of use, this tool not only enhances research productivity but also encourages interdisciplinary collaboration among researchers.

Media

Media

Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Ekoru

Company Location

New Zealand

Company Website

ekoru.org

Company Facts

Organization Name

Code Ocean

Company Location

United States

Company Website

codeocean.com/product/

Categories and Features

Categories and Features

Data Analysis

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

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