Rastion Platform

Rastion democratizes optimization by providing a collaborative platform where developers can share, test, and deploy optimization algorithms. Our vision is to transform optimization from complex, expert-only tools into accessible, no-code/low-code solutions powered by the modular Qubots framework.

Platform Overview

Rastion bridges the gap between optimization research and practical application, making advanced algorithms accessible to everyone through an intuitive web interface.

Interactive Playground

Test and compare optimization algorithms in real-time with an intuitive web interface

Repository Management

GitHub-like interface for managing optimization problems and solvers

Leaderboard System

Compete on standardized benchmarks and track performance across the community

Collaborative Features

Share algorithms, discuss approaches, and learn from the community

Key Features

🎮 Interactive Playground

The playground provides a powerful environment for testing optimization algorithms:

  • Real-time Execution: Run optimizations directly in your browser
  • Parameter Tuning: Adjust algorithm parameters with intuitive controls
  • Visual Results: See optimization progress and results with interactive charts
  • Comparison Tools: Compare multiple algorithms side-by-side

📁 Repository Management

Manage your optimization components with a familiar interface:

  • File Browser: Navigate through repository contents with a GitHub-like interface
  • Version Control: Track changes and manage different versions of your algorithms
  • Upload Interface: Easy drag-and-drop upload for new repositories
  • Collaboration: Share repositories and collaborate with team members

🏆 Leaderboard System

Compete and track performance across standardized benchmarks:

  • Standardized Problems: Compete on well-defined optimization problems
  • Performance Tracking: Monitor your algorithms’ performance over time
  • Fair Comparison: Standardized evaluation criteria ensure fair competition
  • Community Rankings: See how your algorithms compare to others

📊 Advanced Analytics

Get insights into optimization performance:

  • Performance Metrics: Detailed analysis of algorithm performance
  • Trend Analysis: Track improvements over time
  • Benchmark Reports: Comprehensive reports on algorithm capabilities
  • Statistical Analysis: Statistical significance testing and confidence intervals

Getting Started

1. Login with GitHub

Visit rastion.com and sign in with your GitHub account:

  1. Click “Login with GitHub”
  2. Authorize Rastion to access your GitHub profile
  3. Get your Rastion API token from Settings
  4. Start building with optimization tools

2. Explore the Playground

Try the playground with community algorithms:

  1. Navigate to the Playground
  2. Select a problem (e.g., “Maximum Cut Problem”)
  3. Choose an optimizer (e.g., “OR-Tools MaxCut Solver”)
  4. Adjust parameters and run the optimization
  5. Analyze the results

3. Upload Your First Repository

Share your own optimization algorithm:

  1. Prepare your repository following the Qubots structure
  2. Upload using Python SDK or web interface
  3. Test it in the playground
  4. Submit to relevant leaderboards

Platform Components

Playground Interface

The playground is the heart of the Rastion platform:

┌─────────────────────────────────────────────────────────┐
│ Problem Selection    │ Optimizer Selection              │
├─────────────────────────────────────────────────────────┤
│ Parameter Configuration                                 │
├─────────────────────────────────────────────────────────┤
│ Execution Controls   │ Real-time Progress              │
├─────────────────────────────────────────────────────────┤
│ Results Visualization and Analysis                      │
└─────────────────────────────────────────────────────────┘

Repository Browser

Navigate and manage your optimization components:

  • Hierarchical Navigation: Browse folders and files with breadcrumbs
  • File Viewer: View code, configurations, and documentation
  • Search Functionality: Find specific files or content
  • Download Options: Download individual files or entire repositories

Leaderboard Dashboard

Track performance and compete with the community:

  • Problem Categories: Browse problems by domain (TSP, MaxCut, VRP, etc.)
  • Ranking Tables: See current rankings and performance metrics
  • Submission History: Track your submissions and improvements
  • Performance Charts: Visualize algorithm performance over time

Notification System

Stay updated on platform activity:

  • Submission Status: Get notified about leaderboard submission results
  • Platform Updates: Receive updates about new features and improvements
  • Community Activity: Stay informed about community discussions and events

Use Cases

Research and Development

  • Algorithm Development: Develop and test new optimization algorithms
  • Performance Analysis: Analyze algorithm performance across different problems
  • Collaboration: Work with research teams on optimization projects
  • Publication Support: Generate reproducible results for academic papers

Education and Learning

  • Teaching Tool: Use the platform to teach optimization concepts
  • Student Projects: Assign optimization challenges to students
  • Learning Resource: Explore existing algorithms and learn from the community
  • Skill Development: Practice optimization skills with real problems

Industry Applications

  • Algorithm Selection: Find the best algorithms for specific problems
  • Performance Benchmarking: Evaluate algorithms for production use
  • Team Collaboration: Collaborate on optimization projects within organizations
  • Solution Validation: Validate optimization solutions before deployment

Integration with Qubots

Rastion seamlessly integrates with the Qubots framework:

Local Development

import qubots.rastion as rastion

# Authenticate with the platform
rastion.authenticate("your_access_token")

# Load models from the platform
problem = rastion.load_qubots_model("maxcut_problem", username="community")
optimizer = rastion.load_qubots_model("ortools_optimizer", username="community")

# Run locally
result = optimizer.optimize(problem)

Cloud Execution

from qubots import execute_playground_optimization

# Execute optimization in the cloud
result = execute_playground_optimization(
    problem_name="maxcut_problem",
    problem_username="community",
    optimizer_name="ortools_optimizer",
    optimizer_username="community",
    problem_params={"n_vertices": 20},
    optimizer_params={"time_limit": 60}
)

Community Features

Daily Papers

Stay updated with the latest optimization research:

  • Automated Curation: Daily updates from arXiv optimization papers
  • Category Filtering: Filter by optimization domains (math.OC, cs.DS, cs.AI)
  • Research Trends: Track trending topics in optimization research
  • Discussion Forums: Discuss papers with the community

Collaboration Tools

Work together on optimization challenges:

  • Team Repositories: Collaborate on private repositories
  • Discussion Forums: Discuss algorithms and approaches
  • Code Reviews: Review and improve optimization algorithms
  • Knowledge Sharing: Share insights and best practices

Security and Privacy

Rastion takes security and privacy seriously:

  • Secure Authentication: Multi-factor authentication and secure token management
  • Private Repositories: Keep proprietary algorithms private
  • Data Protection: Comprehensive data protection and privacy policies
  • Access Controls: Fine-grained access controls for repositories and data

Next Steps

Support and Resources

  • Documentation: Comprehensive guides and tutorials
  • Community Forum: Get help from the community
  • Support Team: Direct support for technical issues
  • Video Tutorials: Step-by-step video guides
  • API Documentation: Complete API reference for developers