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
A newly launched map enhances our understanding of oceanic conditions. Our mission focuses on generating and disseminating knowledge regarding human activities in marine environments to promote equitable and sustainable ocean usage. Employing advanced technology, we convert large datasets into practical insights. We firmly believe that awareness of human operations at sea is essential for protecting the global ocean for everyone’s benefit. By fostering transparency, governmental bodies can more efficiently oversee vessels, enabling fishermen to show their compliance without the nation needing to prove wrongdoing. Global Fishing Watch collaborates with top-tier scientific organizations to develop innovative open-source datasets, tackling some of the most pressing issues confronting our oceans. Our open-access visualizations and analytical tools empower scientific inquiry and inspire a fundamental shift in ocean management practices. This initiative not only enhances data accessibility but also encourages broader participation in ocean stewardship.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Amazon EC2
Yes
Amazon S3
Yes
Amazon Web Services (AWS)
Yes
Docker
Yes
Git
Yes
GitHub
Yes
Google
No
Google Cloud BigQuery
No
Google Cloud Platform
No
Google Cloud Run
No
Integrations
Amazon EC2
No
Amazon S3
No
Amazon Web Services (AWS)
No
Docker
No
Git
No
GitHub
No
Google
Yes
Google Cloud BigQuery
Yes
Google Cloud Platform
Yes
Google Cloud Run
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
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
Global Fishing Watch
Founded
2014
Website
globalfishingwatch.org
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