ruvnet/RuView
π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
What is ruvnet/RuView?
ruvnet/RuView is a repository whose own project materials describe it as RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection all without a single pixel of video. Turn ordinary WiFi into a spatial intelligence / sensing system. Detect people, measure breathing and heart rate. This Graphify demo keeps ruvnet/RuView as the primary keyword while adding source-derived context, README signals, and an interactive code graph for deeper exploration.
Source: README.md at e6f26e9ac982
Graphify architecture insights for ruvnet/RuView
ruvnet/RuView has a large Graphify map with 28,178 nodes, 57,385 edges, and 1,291 communities. The graph turns ruvnet/RuView into an architecture map: dense communities point to related implementation areas, while high-degree nodes from the Graphify report are good starting points for code review, onboarding, and dependency exploration.
README-derived project notes
- ruvnet/RuView is described by its project source as: RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection all without a single pixel of video. Turn ordinary WiFi into a spatial intelligence / sensing system. Detect people
- The project README exposes reader-facing sections such as See through walls with WiFi, Built for low-power edge applications, Pretrained model on Hugging Face, and Results proof, which helps explain how ruvnet/RuView is positioned and used
- ruvnet/RuView was captured from the repository at commit e6f26e9ac982 and analyzed in code-only mode, so this page connects project documentation with the generated code graph
- ruvnet/RuView is primarily a Rust project, which makes the graph useful for understanding important files, modules, and dependency relationships before opening the source tree
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Graphify report highlights
Summary
- 28178 nodes · 57385 edges · 1291 communities (1125 shown, 166 thin omitted)
- Extraction: 97% EXTRACTED · 3% INFERRED · 0% AMBIGUOUS · INFERRED: 1979 edges (avg confidence: 0.71)
- Token cost: 0 input · 0 output
God nodes
- Settings - 176 edges
- State - 170 edges
- Tensor - 146 edges
- CSIExtractor - 117 edges
- h() - 104 edges
- SharedState - 88 edges
Surprising connections
- app_main() --calls--> csi_collector_set_node_id() [INFERRED]
- app_main() --calls--> csi_collector_set_hop_table() [INFERRED]
- app_main() --calls--> display_is_active() [INFERRED]
- NetworkDiscovery() --indirect_call--> result() [INFERRED]
FAQ about ruvnet/RuView
What is ruvnet/RuView?
ruvnet/RuView is described by its repository as RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection all without a single pixel of video. Turn ordinary WiFi into a spatial intelligence / sensing system. Detect people, measure breathing and heart rate. This page adds a Graphify code graph so readers can inspect how the project is structured.
What does the ruvnet/RuView Graphify graph show?
ruvnet/RuView has a large Graphify map with 28,178 nodes, 57,385 edges, and 1,291 communities. It highlights communities, important nodes, and relationships extracted from the captured source commit.
Why use Graphify to explore ruvnet/RuView?
Graphify gives ruvnet/RuView a visual architecture layer, making it easier to find central files, understand module boundaries, and decide where to start reading the code.
Where did the ruvnet/RuView page content come from?
The project notes are derived from README.md at e6f26e9ac982, repository metadata, and the Graphify report generated for the captured commit.