rolyatmax/rota

Routing with reinforcement learning

26
/ 100
Experimental

Rota helps network engineers and administrators understand how decentralized routing algorithms can dynamically adapt to network changes. You input a network topology and 'packets' with destinations. The system then visually demonstrates how network nodes learn optimal paths over time, adapting to link latency and failures. This tool is for anyone responsible for network performance and resilience.

No commits in the last 6 months.

Use this if you want to visualize and experiment with how a network's routing intelligence can be distributed across nodes, enabling resilience and self-optimization without a central control.

Not ideal if you're looking for a production-ready routing solution or a tool to analyze existing network traffic patterns.

network-engineering network-simulation routing-algorithms network-resilience network-administration
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 13 / 25

How are scores calculated?

Stars

10

Forks

2

Language

JavaScript

License

Last pushed

Apr 09, 2022

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/rolyatmax/rota"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.