How n3x4r6h/linuxpulse works
LINUXPULSE is a desktop system-monitoring dashboard. The main workflow acquires host and process data, parses it into a canonical snapshot, coordinates analytics and GUI updates, then presents live metrics, process tables, alerts, and historical charts. Mock sampling is also supported. The README documents the queue/threading flow and major features; source excerpts and the SOURCE INDEX provide additional module relationships, but some implementation details are unsampled.
Main entry points: main.py App Controller · top_collector.py System Collector · dashboard.py Dashboard Views · engine.py Analytics Engine
Components 13
Data Acquisition
- System Collector
collector/top_collector.py - Platform Parsers
collector/parser.py
Application Runtime
- App Controller
main.py - Mock Sampler
main.py - Snapshot Queue
main.py - App Configuration
config.py - Snapshot Models
models.py
Analytics
- Analytics Engine
analytics/engine.py
Dashboard Presentation
- Dashboard Views
gui/dashboard.py - Process Table
gui/process_table.py
Visualization
- Historical Charts
visualization/plots.py
Other components
- Desktop User
- Host System
Connections 15
- Desktop User → Dashboard Views: views
README.md - Host System → System Collector: provides metrics
README.md - System Collector → Platform Parsers: parses output
collector/top_collector.py - System Collector → Snapshot Queue: publishes snapshots
README.md - Mock Sampler → Snapshot Queue: publishes samples
README.md - Snapshot Queue → App Controller: transfers snapshots
README.md - App Controller → System Collector: starts sampling
README.md - App Controller → Mock Sampler: selects demo mode
README.md - App Controller → App Configuration: uses settings
main.py - App Controller → Snapshot Models: builds snapshots
main.py - App Controller → Analytics Engine: processes measurements
main.py - App Controller → Dashboard Views: supplies view state
README.md - Analytics Engine → App Controller: returns statistics and alerts
README.md - Dashboard Views → Process Table: renders process rows
gui/dashboard.py - Dashboard Views → Historical Charts: updates charts
gui/dashboard.py