Zero-config research workstation dashboard with automatic pipeline discovery
Project description
research-portal
Zero-config research workstation dashboard with automatic pipeline discovery.
Drop it on any Linux research machine and instantly get live GPU/CPU monitoring, running pipeline detection, and a resource map -- no configuration needed.
Installation
pip install research-portal
Or install from source:
git clone https://github.com/ahb-sjsu/atlas-portal.git
cd atlas-portal
pip install -e ".[dev]"
Quick Start
research-portal
That's it. Open the URL printed in the terminal (default: http://0.0.0.0:8080).
Default credentials: atlas / atlas2026!research (override with env vars or CLI flags).
Screenshots
Dashboard, Resource Map, and Pipeline Flow views coming soon.
Features
- Auto-detects hardware -- hostname, CPU model, GPU models, RAM, disk (reads from
/proc,nvidia-smi, etc.) - Live system monitoring -- CPU temperatures, GPU utilization/memory/thermals, RAM, disk, load averages
- Pipeline discovery -- automatically finds running Python/bash pipelines from process list
- Resource map -- per-core CPU utilization grid with job labels, per-GPU visual bars
- Pipeline flow -- live view of all discovered pipelines with stage progress
- Security -- HTTP Basic auth, security headers (CSP, X-Frame-Options, etc.)
- SSL support -- auto-detects
cert.pem/key.pemfor HTTPS - Zero config -- works on any Linux workstation out of the box
Pages
| Route | Description |
|---|---|
/ |
Main dashboard -- temperatures, GPU status, memory, active sessions |
/map |
Resource map -- per-core CPU grid, per-GPU utilization visuals |
/flow |
Pipeline flow -- auto-discovered running/completed pipelines |
API Endpoints
| Endpoint | Description |
|---|---|
GET /api/status |
System metrics (CPU temps, GPUs, memory, disk, load, sessions) |
GET /api/cores |
Per-core utilization with job labels |
GET /api/pipelines |
Auto-discovered pipeline list with stages |
GET /api/system-info |
Static hardware info (hostname, CPU, GPU models, RAM) |
Configuration
CLI Flags
research-portal [OPTIONS]
--host HOST Bind address (default: 0.0.0.0)
--port PORT Port (default: 8443 with SSL, 8080 without)
--no-auth Disable HTTP Basic authentication
--user USER Override auth username
--password PASS Override auth password
--no-ssl Force plain HTTP even if certs are present
--version Print version and exit
Environment Variables
| Variable | Description | Default |
|---|---|---|
PORTAL_USER |
Auth username | atlas |
PORTAL_PASS |
Auth password | atlas2026!research |
PORTAL_SECRET |
Flask secret key | random |
PORTAL_RESULTS_DIR |
Directory for downloadable result files | . |
SSL
Place cert.pem and key.pem in the working directory or package directory. The portal will auto-detect them and serve on HTTPS port 8443.
Generate self-signed certs for development:
openssl req -x509 -newkey rsa:4096 -keyout key.pem -out cert.pem -days 365 -nodes
Development
pip install -e ".[dev]"
pytest -v
ruff check src/ tests/
ruff format src/ tests/
License
MIT
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