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.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
Ranks #1 among Monitoring repositories ranked this week, and #1 over the last 30 days; #43 of 163 repositories with measured growth this week (top 26%).
This week's +1,644 stars is in line with its 30-day pace of about +1,519 per week.
5 releases in the last 90 days, the latest today, with 45 contributors on GitHub.
Peaked at #1 in the weekly ranking the week of Feb 22, its best in the past year.
Use Cases & Benefits
- WiFi-DensePose enables real-time, privacy-preserving full-body human pose estimation using WiFi signals without cameras, suitable for healthcare, fitness, smart home, and security.
- Key technologies include Python and Rust implementations, CSI data processing, neural networks for pose estimation, multi-person tracking, REST and WebSocket APIs, and Docker support.
- Strengths are low latency (sub-50ms), multi-person tracking (up to 10), hardware agnostic with commodity routers, 100% test coverage, and a high-performance Rust port; limitation is dependency on CSI-capable WiFi hardware.
- Organizations can deploy it in production with authentication, rate limiting, monitoring, and scalable APIs for real-time analytics, integrating with existing WiFi infrastructure for privacy-focused monitoring and disaster response.
- Ideal use cases include real-time human activity monitoring in healthcare and fitness, smart home automation, security surveillance, and disaster response for locating survivors through debris.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
A cutting-edge WiFi-based human pose estimation system that leverages Channel State Information (CSI) data and advanced machine learning to provide real-time, privacy-preserving pose detection without cameras.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+13,995 stars over 90 days across 44 snapshot days; best day +710 on Oct 29.
Forks
13.5K+1.6K
Open issues
566+76
Compared with peers in Monitoring
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| ruvnet/RuView | 103.9K | +1.6K | 75 | today |
| henrygd/beszel | 27.1K | +262 | 54 | 18 days ago |
| TwiN/gatus | 12.7K | +210 | 64 | 12 days ago |
| VictoriaMetrics/VictoriaMetrics | 18.1K | +70 | 75 | 1 day ago |
| vectordotdev/vector | 22.8K | — | 64 | 11 days ago |
| rcourtman/Pulse | 7.0K | — | 60 | 1 day ago |
| Category median | 18.1K | +210 | 64 | — |
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