0xSeren

0xSeren / Reticulum-Network-Planner

Public

Tooling for finding and testing ideal reticulum transport node locations.

12
0
100% credibility
Found Apr 10, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Julia
AI Summary

A planning tool that maps real-world radio signal coverage from drive tests and suggests optimal locations for mesh network nodes using terrain data.

How It Works

1
🔍 Find the Radio Planner

You discover a handy tool that maps where your radio signals reach and suggests perfect spots for new stations.

2
🚗 Drive and Record Signals

Take a drive with your radio gear and phone GPS to capture where signals are strong, weak, or missing.

3
💾 Gather Your Drive Data

Save your GPS paths and signal notes from the drive into simple files.

4
📝 Share Your Base Location

Enter your main radio base position and link your drive files so the tool knows your area.

5
🗺️ Create Signal Map

Hit go and see a colorful interactive map light up, showing signal strength along your routes.

6
📍 Get Station Suggestions

Tell it how many new stations you want, and it finds the best hilltops or spots with clear views.

✨ View Your Full Plan

Celebrate with a detailed map of coverage areas, paths between stations, and your optimized network ready to build.

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Star Growth

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AI-Generated Review

What is Reticulum-Network-Planner?

Reticulum-Network-Planner is Julia tooling for finding and testing ideal reticulum transport node locations in mesh radio networks. Drive with an RNode radio and GPS tracker to collect signal data, then generate interactive maps correlating RSSI/SNR readings with positions—highlighting strong, weak, or one-way coverage from base stations. Alternatively, input a geographic area and constraints to auto-optimize new node spots using SRTM terrain for line-of-sight verification, maximizing land area or population coverage via WorldPop rasters.

Why is it gaining traction?

Combines real-world drive-testing with terrain-aware optimization in one workflow, outputting clickable HTML maps with heatmaps, LoS grids, and peer links—no manual plotting needed. CLI options like `julia run.jl --optimize 7` deliver mesh-connected placements fast, verified for connectivity. Stands out versus generic GIS tools by baking in reticulum specifics like mesh link ranges and population weighting.

Who should use this?

Reticulum operators planning off-grid mesh nodes in hilly terrain, such as emergency response teams testing LoRa coverage or rural network builders optimizing for population density. Ideal for hardware tinkerers with RNode USB radios validating base station reach before deployment.

Verdict

Worth a spin for reticulum users—clear TOML config and solid README make it approachable despite 12 stars and 1.0% credibility score. Early-stage maturity means watch for edge cases, but it's practical niche tooling ready for real planning.

(198 words)

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