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Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

No User Reviews. Be the first to provide a review:

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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

Mira is an online AI platform tailored for scientists engaged in research and development within the fields of science and materials. It aids researchers in navigating literature, structuring evidence, formulating hypotheses, orchestrating computational processes, and condensing findings. The platform features task-oriented AI agents that integrate project-specific information with scientific instruments and computational resources to facilitate the entire research journey, from defining the research question to analyzing and reporting outcomes. Its applications span a variety of disciplines, including chemistry, materials research, molecular design, protein workflows, and the replication of established methods. By providing project workspaces, Mira ensures that context is preserved throughout various tasks, while its workflow views and generated reports enable users to examine and systematically arrange their findings. Moreover, Mira is specifically crafted for scientists and R&D teams looking to enhance their literature-driven explorations and computational studies; importantly, its outputs are intended to complement, not replace, the critical evaluation and expertise of seasoned scientists. The platform ultimately empowers researchers to achieve more efficient outcomes in their scientific endeavors.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon EC2 Yes 
Amazon S3 Yes 
Amazon Web Services (AWS) Yes 
Docker Yes 
ESMFold2 No 
Git Yes 
GitHub Yes 
Jupyter Notebook Yes 
Terminal Yes 

Integrations

Amazon EC2 No 
Amazon S3 No 
Amazon Web Services (AWS) No 
Docker No 
ESMFold2 Yes 
Git No 
GitHub No 
Jupyter Notebook No 
Terminal 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 Yes 
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 No 

Types of Training

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

Types of Training

Training Docs No 
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

Deep Principle

Founded

2024

Country

China

Website

agentmira.io

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 

Product Features

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