Data Science & Development

Interactive computing environments and development tools for data analysis, visualization, machine learning, and software development. Web-based platforms ready to use in your browser.

Overview

This collection includes workflows for:

• Interactive Computing - Jupyter, VS Code, RStudio
• Data Analysis - Python, R, pandas, NumPy
• Machine Learning - TensorFlow, PyTorch, Scikit-learn
• Visualization - Matplotlib, Plotly, ggplot2
• Development - Full IDE environments and tools

Available Workflows

Browse the workflows in this category to find data science and development tools. Each workflow includes pre-installed libraries and configuration examples.

System Requirements

Light Workloads:

• CPU: 4 cores
• RAM: 8GB
• Storage: 50GB SSD

Standard Workloads:

• CPU: 8-16 cores
• RAM: 32GB+
• Storage: 500GB SSD

ML/AI Workloads:

• GPU: NVIDIA RTX/Tesla
• RAM: 64GB+
• Storage: 1TB+ NVMe SSD

Getting Started

Deploy data science workflows:

# Deploy a data science environment
dxflow compose create --identity <workflow-name> <compose-file>
dxflow compose start <workflow-name>

Explore the workflows below to start your data analysis and development!