syshealth 0.0.2

A lightweight computer constants monitor using Rust and Python

🖥️🩺 SysHealth

A highly optimized, cross-platform system resource monitor with a Rust core and a beautiful Python CLI.

SysHealth pushes the performance-critical work (polling loops, hardware inspection, network sampling) into compiled Rust code via PyO3, while keeping the Python surface clean, ergonomic, and easy to extend.

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✨ Features

• ⚡ Near-zero CPU footprint — all heavy lifting runs in compiled Rust via sysinfo
• 🖥️ Rich terminal UI — colour-coded panels with adaptive side-by-side layout
• 🌐 Cross-platform — Windows and Linux supported
• 🔌 Extensible — adding a new Rust metric takes fewer than 10 lines
• 🧪 Tested — pytest integration tests with full mock coverage
• 📡 Background Exporters — Start a zero-overhead Rust background thread to continuously export metrics to MQTT or VictoriaMetrics
• 🎛️ Configurable Priorities — Control the exporter thread priority dynamically (from 0 to 5) so it never impacts system performance

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🚀 Installation

Install SysHealth directly from PyPI using uv (recommended) or standard pip:

# Install system-wide or in your active environment
uv tool install syshealth

# OR using standard pip
pip install syshealth

(Optional: If you plan to use the MQTT exporter, install with the mqtt extra: uv tool install syshealth[mqtt])

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📖 Usage

CLI Dashboard (global-metrics)

Displays a full system snapshot dashboard. Panels are automatically placed side-by-side when the terminal is wide enough.

syshealth global-metrics

Output panels:

Panel	Metric	Backend
🖥️ System Information	OS name & version	🦀 Rust (sysinfo)
🖥️ System Information	Kernel version	🦀 Rust (sysinfo)
🖥️ System Information	Hostname	🦀 Rust (sysinfo)
🖥️ System Information	CPU brand, cores & threads	🦀 Rust (sysinfo)
🖥️ System Information	GPU name	🐍 Python (wmic / lspci subprocess)
🖥️ System Information	Total RAM	🦀 Rust (sysinfo)
🖥️ System Information	Available disk space & %	🦀 Rust (sysinfo)
🖥️ System Information	Boot time & uptime	🦀 Rust (sysinfo)
👥 System Users	Real OS user accounts	🦀 Rust (sysinfo)
👥 System Users	Admin rights detection	🐍 Python (group name filtering)
⚡ System Instant Metrics	CPU usage %	🦀 Rust (sysinfo)
⚡ System Instant Metrics	CPU temperature	🦀 Rust (sysinfo components)
⚡ System Instant Metrics	Per-core CPU usage	🦀 Rust (sysinfo)
⚡ System Instant Metrics	Load average (1m / 5m / 15m)	🦀 Rust (sysinfo)
⚡ System Instant Metrics	RAM usage %	🦀 Rust (sysinfo)
⚡ System Instant Metrics	Swap usage %	🦀 Rust (sysinfo)
🏆 Top CPU Consumers	Top 4 processes by CPU	🦀 Rust (sysinfo)
🌐 Network Instant Metrics	Interface names	🦀 Rust (sysinfo)
🌐 Network Instant Metrics	Local IPv4 address	🦀 Rust (sysinfo)
🌐 Network Instant Metrics	Rx / Tx speed (MB/s)	🦀 Rust (sysinfo)

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Process Monitor (process)

Monitors all running instances of a named process and shows per-PID resource usage, sorted by CPU consumption.

syshealth process --name python
# or short form:
syshealth process -n chrome.exe

Output table:

Column	Metric	Backend
PID	Process identifier	🦀 Rust (sysinfo)
CPU Usage (%)	Per-process CPU %	🦀 Rust (sysinfo)
RAM Usage (%)	Per-process RAM % of total	🦀 Rust (sysinfo)

[!NOTE] Rows are sorted descending by CPU usage. If multiple instances of the same process are running (e.g. browser tabs), you will see one row per PID.

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Background Service (install-service)

Installs SysHealth as a background service for the current OS (Windows or Linux). Requires Administrator or root privileges.

# Windows: open terminal as Administrator
# Linux: run with sudo
syshealth install-service

[!NOTE] If the service is already installed, you will be prompted to stop and replace it.

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Background Exporter (Python API)

[!IMPORTANT] When using the MQTT exporter, ensure you have installed the optional dependency (pip install syshealth[mqtt] or uv pip install ".[mqtt]") and that your MQTT broker is up and running before starting the exporter.

You can run SysHealth as a background thread in your own Python applications. It will automatically load your configuration from ~/.syshealth/config.json.

from syshealth.monitor import ExporterType, SysHealth
import time

# Use the context manager to ensure graceful shutdown
with SysHealth() as monitor:
    # Start background monitoring thread (priority 0 to 5)
    # The 'duration' argument will automatically stop the thread after 60 seconds.
    monitor.start(refresh_rate=5, exporter_type=ExporterType.MQTT, priority=5, duration=60)

    # Do your other work while metrics are exported automatically in Rust
    time.sleep(60)
    
# monitor.stop() is automatically called when exiting the 'with' block!

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🛠️ Development

Prerequisites

Tool	Purpose
rustup	Rust compiler toolchain
uv	Python project & venv manager

Install & Build from Source

# 1. Create virtual environment and compile the Rust extension in one step
uv pip install -e .

# 2. (Optional) install dev dependencies for tests and linting
uv pip install -e ".[dev]"

uv detects maturin as the build backend in pyproject.toml, compiles src/lib.rs, and links the resulting shared library into your local Python environment automatically.

Start External Dependencies

If you plan to use the background exporter for MQTT or VictoriaMetrics, ensure these services are running. You can quickly start them using docker-compose or podman-compose with the provided file:

docker-compose up -d
# OR with podman
podman-compose up -d

Run Tests & Linting

uv sync --group test && uv run pytest   # run all tests
uv run ruff format .                    # auto-format
uv run ruff check .                     # lint

Rebuild After Rust Changes

Every time you modify src/lib.rs you need to recompile the extension and regenerate the Python stubs:

# 1. Recompile & reinstall the Rust extension into the active venv
uv pip install -e .

# 2. Regenerate Python type stubs (updates python/syshealth/_rust_monitor.pyi)
cargo run --bin stub_gen

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🔧 Adding a New Metric

Follow these steps to expose a new piece of system data end-to-end.

Step 1 — Add the field to GlobalMetricsSnapshot in src/lib.rs

#[gen_stub_pyclass]
#[pyclass(get_all)]
pub struct GlobalMetricsSnapshot {
    // ... existing fields ...
    pub my_new_metric: f32,   // 👈 add your field here
}

Step 2 — Populate the field inside get_global_metrics()

fn get_global_metrics() -> PyResult<GlobalMetricsSnapshot> {
    // ... existing logic ...

    let my_new_metric = sys.some_sysinfo_call();   // 👈 gather data

    Ok(GlobalMetricsSnapshot {
        // ... existing fields ...
        my_new_metric,   // 👈 include in the struct literal
    })
}

Step 3 — Recompile and regenerate stubs

uv pip install -e .
cargo run --bin stub_gen

Step 4 — Display it in python/syshealth/cli.py

# Inside global_metrics():
table.add_row("My New Metric:", f"{metrics.my_new_metric:.2f}")

Step 5 — Update the mock in tests/test_cli.py

mock_metrics.my_new_metric = 42.0

[!IMPORTANT] Always run cargo run --bin stub_gen after every Rust change so that the .pyi stub file stays in sync with the compiled extension. Without this, IDEs and type checkers will show incorrect type information.

[!NOTE] If you need a metric that sysinfo does not provide (e.g. GPU name), implement it as a plain Python helper function in cli.py using subprocess or the platform module — see get_gpu_name() for an example.

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🏗️ Architecture

syshealth/
├── src/
│   └── linux/
│       ├── syshealth.service               # systemd service configuration
│       └── service_runner.py               # 🐍 Main program to run with systemd
│   └── windows/
│       └── syshealth_windows_service.py    # 🐍 Windows Service implementation
├── src/
│   ├── bin/
│   │   └── stub_gen.rs                     # 🦀 Standalone Rust binary to generate Python type stubs
│   ├── lib.rs                              # 🦀 Rust extension — sysinfo polling, PyO3 bindings, background thread
│   └── exporter/
│       ├── mod.rs                          # 🦀 Exporter trait + factory (create_exporter)
│       ├── mqtt.rs                         # 🦀 MQTT exporter (rumqttc, non-blocking channel)
│       └── victoria_metrics.rs             # 🦀 VictoriaMetrics exporter (ureq, non-blocking channel)
├── python/
│   └── syshealth/
│       ├── _rust_monitor.pyi               # 🐍 Auto-generated type stubs (do not edit manually)
│       ├── monitor.py                      # 🐍 Python wrapper — SysHealth + ExporterType enum
│       └── cli.py                          # 🐍 Typer CLI + Rich display logic
└── tests/
    ├── test_cli.py                         # 🐍 Integration tests for all CLI commands
    └── test_monitor.py                     # 🐍 Integration tests: Rust backend + MQTT subscriber

Data flow — background exporter

sysinfo (Rust crate)
    └─▶ get_global_metrics_internal()          [monitoring thread — priority-adjusted]
            └─▶ GlobalMetricsSnapshot (Serialize)
                    └─▶ serde_json::to_string()
                            └─▶ mpsc::Sender<String>   [non-blocking, exporter worker thread]
                                    └─▶ MqttExporter / VictoriaMetricsExporter
                                            └─▶ Broker / Database

📡 Receiving Exported Data

MQTT

SysHealth publishes a JSON object (all fields of GlobalMetricsSnapshot) to a single topic every refresh_rate seconds.

Item	Value
Broker address	~/.syshealth/config.json → endpoints.mqtt (e.g. localhost:1883)
Topic	syshealth/metrics
QoS	0 (At Most Once)
Retain	No
Payload format	UTF-8 JSON

Payload fields (all in one JSON object on syshealth/metrics):

JSON key	Type	Description
cpu_usage	float	Global CPU usage %
cpu_brand	string	CPU model name
ram_percent	float	RAM used %
max_ram	int	Total RAM in bytes
disk_percent	float	Disk free %
available_disk	int	Available disk in bytes
boot_time	int	Unix timestamp of last boot
os_name	string	OS name
os_version	string	OS version string
kernel_version	string	Kernel version
hostname	string	Machine hostname
core_count_physical	int | null	Physical CPU core count
core_count_logical	int	Logical CPU thread count
cpu_temperature	float | null	CPU temperature in °C (if available)
swap_total	int	Total swap in bytes
swap_used	int	Used swap in bytes
network_rx_bytes	int	Total bytes received (all interfaces)
network_tx_bytes	int	Total bytes transmitted (all interfaces)
network_interfaces	array	Per-interface [name, rx, tx, [ips]]
per_core_usage	array[float]	Per-logical-core usage %
load_avg_1m	float	1-minute load average
load_avg_5m	float	5-minute load average
load_avg_15m	float	15-minute load average
users	array	[username, [groups]] pairs
top_processes	array	Top 4 CPU consumers — [name, pid, cpu%]

Example subscriber (Python):

import json
import paho.mqtt.client as mqtt

def on_message(client, userdata, msg):
    data = json.loads(msg.payload)
    print(f"CPU: {data['cpu_usage']:.1f}%  RAM: {data['ram_percent']:.1f}%")

client = mqtt.Client(mqtt.CallbackAPIVersion.VERSION2)
client.on_message = on_message
client.connect("localhost", 1883)
client.subscribe("syshealth/metrics")
client.loop_forever()

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VictoriaMetrics

SysHealth POSTs the same JSON snapshot to the VictoriaMetrics import endpoint.

Item	Value
Endpoint	~/.syshealth/config.json → endpoints.victoriametrics (e.g. http://localhost:8428/api/v1/import)
HTTP method	POST
Content-Type	application/json
Payload format	JSON (same field list as the MQTT table above)

[!NOTE] Query stored metrics via MetricsQL or /api/v1/query using field names as metric names, e.g. cpu_usage, ram_percent.

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📄 License

See LICENSE for details.