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RV

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.

89k Stars12k Forks488 Open Issues89k WatchersRustMIT
AI AppAutomationObservabilityUI Framework
Review Readiness

This repository page is useful for visitors, but Git-Stars keeps it out of search indexing until more original evidence and comparison context are available.

70

review score

Needs original analysis
Decision Snapshot

Problem solved

It solves the problem of contactless sensing and monitoring of human presence, vital signs, and activities through walls and in the dark, without requiring cameras, wearables, or cloud connectivity.

Deployment reality

The available setup signal starts with: Drop into any Home Assistant install with one `--mqtt` flag.. Treat this as a starting point, then ask Codex or Claude to inspect the README, environment variables, runtime version, and deployment target before production use.

Commercial use

The recorded license is MIT. This is a useful commercial-use signal, but teams should still verify license text, dependencies, model/API terms, and trademark constraints.

Capability ceiling

ruvnet/RuView still needs a clearer capability analysis. Use the metadata as a discovery signal, not as a production recommendation.

Source and compliance noteLast synced: Aug 11, 2026

Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.

Original GitHub sourceMethodologyEditorial Policy
Editorial Evaluation

ruvnet/RuView is tracked as a Rust project in the AI App, Automation, Observability, UI Framework area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.

Momentum check: the repository has 89k total stars, with +154 today, +0 this week, and +0 this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.

Maintenance check: current activity is Active; the latest push was 12 days ago, and the open issue queue is 488, about 0.55% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.

Adoption check: 12k forks and 89k watchers suggest how often the project is reused or followed. License signal: MIT. Always verify license compatibility before commercial or internal use.

Practical fit: this project is most relevant when you need Rust teams evaluating ecosystem-native tooling. Be cautious when you need a legal review, security audit, or production SLA.

Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 3.4k. Follow the original GitHub repository for final install, security, and release information.

Evidence Checklist

Analysis

Limited

Needs stronger original analysis before indexing.

Sources

Ready

Repository metadata and README/source references are attached.

License

Ready

MIT is recorded for review.

Maintenance

Ready

Recent activity is visible in repository metadata.

Alternatives

Ready

Enough nearby projects exist for comparison.

Best For
  • Rust teams evaluating ecosystem-native tooling
  • teams that prefer mature projects with broad adoption signals
  • use cases where recent maintenance matters
Avoid When
  • you need a legal review, security audit, or production SLA
Adoption Signals

Momentum

89k Stars

Reuse

12k Forks

Attention

89k Watchers

Maintenance

active

License

MIT

Open issues

488

Overview

π RuView is a WiFi sensing platform that turns ordinary WiFi into a spatial intelligence system, detecting people, measuring breathing and heart rate, tracking movement, and monitoring rooms through walls without cameras or wearables.

Key Features

- Detects presence, occupancy, breathing rate, heart rate, and activity recognition through WiFi CSI from ESP32 sensors. - Integrates with Home Assistant, Apple Home, Google Home, and Alexa via MQTT, Matter, or HAP bridge. - Runs entirely on edge hardware with no cloud or internet required, using spiking neural networks for local learning.

Tool Positioning

AI App

End-user AI applications and AI-native product examples

Automation

Workflow automation, integration glue, and orchestration

Observability

Monitoring, tracing, logging, profiling, and reliability tools

UI Framework

Frontend frameworks, design systems, and interface libraries

Quick Start
Drop into any Home Assistant install with one `--mqtt` flag.
View on GitHub Project Homepage
Project Activity

90

Health Score

Active

Commit Activity

Jun 7, 2025

Created

Aug 11, 2026

Last push

Source Trail

GitHub repository metadata

metadata

GitHub README

readme_summary

Star History

+1.8k

Today's growth

+3.4k

7-day growth

+3.4k

30-day growth

Jul 25, 2026Aug 11, 2026
Community Health
12k

Forks

488

Open

89k

Watchers

Owner
RV

ruvnet

GitHub profile
Topics & Language
Rustawesomeclaudedenseposeesp32firmwarehome-assistanthome-automationiotmonitoringnetworkingnpmpose-estimationreactrfself-learningskillsspatial-intelligencetypescriptwifiwifi-security
Ecosystem & Usage
GitHub Repository Project Website
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License
MIT
CreatedJun 7, 2025
Last pushAug 11, 2026
Last syncedAug 11, 2026
Repository Standards

✓

License

✓

Forked

✓ Active

Maintained