Version 2 marks a major architectural evolution of StreamPulse, transitioning from a threaded system to a hybrid async microservice, designed for performance, scalability, and security across hundreds of RTSP and MJPEG camera streams.
Building on v1’s success, StreamPulse v2 integrates an asynchronous event loop for stream checking, with independent RTSP/MJPEG handlers and secure, persistent configurations.
This version is optimized for IoT-scale deployments and designed to run continuously on edge or SBC hardware.
- Hybrid Async + Threaded Engine – Stable and scalable monitoring loop
- Parallel RTSP & MJPEG Schedulers – Separate adaptive task pools
- Auto NTP & Timezone Sync – Ensures precise timestamp logging
- Secure Admin Login – Password stored in SQLite, configurable via GUI
- Dynamic GUI Dashboard – Auto-refreshing real-time view with uptime color codes
- Live Preview Feature – Fetches 5-second live stream on demand without blocking
- CSV Export – Download all log data for external analysis
- Color Indicator Reference Panel – Built-in guide for status meaning
- Responsive Design – Dark/light toggle, mobile and tablet friendly
- Docker Optimized – Built on Alpine for lightweight deployment
The redesigned interface focuses on real-time responsiveness and better scalability:
- Clear color-coded uptime badges (🟢, 🟡, 🔴)
- Protocol labels (RTSP / MJPEG)
- Clickable history modal for per-stream logs
- Stream preview option (5s live check)
- Timezone setting & sync status indicator
- Export logs button and settings access control
- Info modal explaining health color codes
You can test v2 with public camera sources:
🔗 Insecam – Public IP Cameras Directory
Example config.yaml:
streams:
- name: GateCam
url: rtsp://user:pass@192.168.1.1:554/stream1
- name: PublicMJPEG
url: http://91.191.213.49:8081/mjpg/video.mjpgDeploy the latest version instantly:
docker pull devprincekumar/streampulse:2.0
docker run -d -p 8000:8000 -v $(pwd)/data:/data devprincekumar/streampulse:2.0Access dashboard: http://localhost:8000
Default Credentials: admin / admin123
- Adaptive round-robin stream scheduler
- Error-based retry backoff for unstable feeds
- Automatic DB schema updates
- Persistent
/datavolume for config + logs - Tested up to 1,000 camera streams on mixed RTSP/MJPEG inputs
v2 resolves limitations observed during live field testing of v1, improving connection handling, stability, and GUI responsiveness.
It’s now a production-ready monitoring layer for heterogeneous camera networks.
Release: v2.0
Date: November 2025
License: MIT © Prince Kumar