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features 0 out of 5 stars
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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

Kandev serves as an open-source development platform designed to facilitate the coordination of AI coding agents alongside software tasks. This workspace unifies various functionalities, including task planning, agent sessions, repository activities, code modifications, and reviews, allowing developers to execute agents simultaneously, manage workflows with Kanban boards, examine differences in code, and assess changes prior to initiating or merging pull requests. Additionally, users can integrate their preferred coding-agent CLIs or ACP agents and interact with repositories via platforms like GitHub, GitLab, Azure DevOps, Jira, Linear, and Sentry. Kandev can be operated locally or on user-managed infrastructure, offering deployment options such as CLI, desktop, Docker, and service models. Executors available within the platform encompass local environments, isolated worktrees, Docker, SSH, and remote setups, while task coordination is facilitated through MCP, webhooks, and automated scheduling. Tailored for software developers and engineering teams, Kandev aims to create a collaborative workspace that enhances agent-assisted coding and streamlines the code review process. By centralizing these tools and processes, Kandev promotes efficiency and productivity within development teams.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

GitHub Yes 
Amazon EC2 Yes 
Amazon S3 Yes 
Amazon Web Services (AWS) Yes 
Azure DevOps No 
Claude Code No 
Codex CLI No 
Cursor No 
Docker Yes 
Gemini CLI No 
Git Yes 
GitHub Copilot No 
GitLab No 
Jira No 
Jupyter Notebook Yes 
Linear No 
Model Context Protocol (MCP) No 
OpenCode No 
Sentry No 
Terminal Yes 

Integrations

GitHub Yes 
Amazon EC2 No 
Amazon S3 No 
Amazon Web Services (AWS) No 
Azure DevOps Yes 
Claude Code Yes 
Codex CLI Yes 
Cursor Yes 
Docker No 
Gemini CLI Yes 
Git No 
GitHub Copilot Yes 
GitLab Yes 
Jira Yes 
Jupyter Notebook No 
Linear Yes 
Model Context Protocol (MCP) Yes 
OpenCode Yes 
Sentry Yes 
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 No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
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 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

Kandev

Website

kandev.ai/

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 

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