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statz is a cross-platform Python package that fetches real-time system usage and hardware specs, all wrapped in a simple, clean API.

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statz

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statz is a cross-platform Python package that fetches real-time system usage and hardware specs, all wrapped in a simple, clean API.

Works on macOS, Linux, and Windows, and handles OS-specific madness under the hood so you don’t have to.

statz logo


Features

  • Get real-time CPU, RAM, and disk usage
  • Fetch detailed system specifications (CPU, RAM, OS, etc.)
  • Run comprehensive performance benchmarks (CPU, memory, disk)
  • Beautiful table output with Rich formatting
  • CSV export for all data types (specs, usage, processes, benchmarks)
  • System health scoring and monitoring
  • Temperature sensor readings (when available)
  • Top process monitoring with filtering options
  • Automatically handles platform-specific logic
  • Super clean API, just a few functions, no fluff

Installation

pip install statz

CLI Usage

statz comes with a powerful command-line interface that lets you get system information right from your terminal.

Basic Usage

# Get all system specs
statz --specs

# Get all system usage
statz --usage

# Get top processes
statz --processes

# Get temperature readings
statz --temp

# Get system health score
statz --health

# Run system performance benchmarks
statz --benchmark

# Check version
statz --version

# Launch live dashboard
statz --dashboard

Live Dashboard

The live dashboard provides real-time monitoring of your system with an interactive interface:

# Launch the dashboard
statz --dashboard

The dashboard displays:

  • Real-time CPU usage per core
  • Memory usage and availability
  • Disk I/O speeds
  • Network upload/download speeds
  • Battery status (if available)
  • Temperature readings (if available)

Press Ctrl+C to exit the dashboard.


### Component-Specific Information

You can get information for specific components using these flags:

```bash
# Individual components
statz --specs --cpu        # CPU specifications
statz --specs --ram        # RAM information
statz --specs --disk       # Disk/storage info
statz --specs --gpu        # GPU information (Windows only)
statz --specs --network    # Network adapter info
statz --specs --battery    # Battery information
statz --specs --os         # Operating system info

# Component benchmarks
statz --benchmark --cpu    # CPU performance benchmark
statz --benchmark --ram    # Memory performance benchmark
statz --benchmark --disk   # Disk performance benchmark

# Combine multiple components
statz --specs --cpu --ram --disk
statz --usage --cpu --ram --network
statz --benchmark --cpu --ram --disk

Process Monitoring

# Get top 5 processes by CPU usage (default)
statz --processes

# Get top 10 processes by CPU usage
statz --processes --process-count 10

# Get top 5 processes by memory usage
statz --processes --process-type mem

# Get top 15 processes by memory usage
statz --processes --process-count 15 --process-type mem

Output Formats

# JSON output
statz --specs --json
statz --usage --cpu --ram --json

# Table output (formatted tables)
statz --specs --table
statz --usage --cpu --ram --table
statz --processes --table
statz --benchmark --table

# CSV export
statz --specs --csv
statz --usage --csv
statz --processes --csv
statz --benchmark --csv

# Export to JSON file
statz --specs --out
statz --usage --processes --out

Available Flags

Flag Description
--specs Get system specifications
--usage Get real-time system usage
--processes Get top processes information
--temp Get temperature readings
--health Get system health score
--benchmark Run system performance benchmarks
--dashboard Launch live monitoring dashboard
--version Show statz version
--os Operating system information
--cpu CPU information
--gpu GPU information (Windows only)
--ram RAM/memory information
--disk Disk/storage information
--network Network adapter information
--battery Battery information
--json Output in JSON format
--table Output in formatted table format
--csv Export to CSV file
--out Export to JSON file
--path {path} Specify the path of file export/deletion
--process-count N Number of processes to show (default: 5)
--process-type {cpu,mem} Sort processes by CPU or memory usage
--internetspeedtest Run an internet speed test
--compare Compare 2 files (you need to run --path1 and --path2 for this to work)
--path1 Path 1 for the compare parameter
--path2 Path 2 for the compare parameter
--securedelete Delete a file by repeatedly overwriting it with random data, then deleting it.

Examples

# Get CPU and RAM specs in JSON format
statz --specs --cpu --ram --json

# Get CPU and RAM specs in table format
statz --specs --cpu --ram --table

# Monitor top 10 memory-intensive processes
statz --processes --process-count 10 --process-type mem

# Export all usage data to CSV
statz --usage --csv

# Export system specs to JSON file
statz --specs --out

# Export system specs to JSON file with custom path specs.json
statz --specs --out --path specs.json

# Get system temperatures and CPU usage in table format
statz --temp --usage --cpu --table

# Run comprehensive system benchmark
statz --benchmark

# Run specific component benchmarks
statz --benchmark --cpu --ram

# Get complete system overview
statz --specs --usage --processes --temp

# Get system health score
statz --health

# Check system health with other components in table format
statz --specs --health --cpu --ram --table

# Export benchmark results to CSV
statz --benchmark --csv

# Launch interactive dashboard for real-time monitoring
statz --dashboard

# Test internet speed
statz --internetspeedtest

# Compare 2 files (note that the 2 file types MUST match)
statz --compare --path1 path/to/specsorusage1.json or csv --path2 path/to/specsorusage2.json or csv

# Securely delete a file
statz --securedelete --path specs.json

Links

PyPi Project

Github Repository ‍

Script Usage

statz provides a clean Python API for accessing system information programmatically. Here are examples of all available functions:

Basic System Information

import statz.stats as stats

# Get complete system specifications
specs = stats.get_system_specs()
print(specs)

# Get selective system specifications (improves performance)
specs = stats.get_system_specs(
    get_os=True,     # Operating system info
    get_cpu=True,    # CPU specifications
    get_gpu=False,   # GPU info (Windows only)
    get_ram=True,    # RAM specifications
    get_disk=True,   # Disk/storage info
    get_network=False, # Network adapters (Windows only)
    get_battery=False  # Battery info (Windows only)
)

Real-Time Usage Data

# Get all hardware usage data
usage = stats.get_hardware_usage()
print(usage)

# Get selective usage data (improves performance)
usage = stats.get_hardware_usage(
    get_cpu=True,     # CPU usage per core
    get_ram=True,     # Memory usage stats
    get_disk=True,    # Disk I/O speeds
    get_network=False, # Network speeds
    get_battery=True   # Battery status
)

Temperature Monitoring

import statz.temp as temp

# Get system temperature readings
temps = temp.get_system_temps()
print(temps)

# Returns platform-specific temperature data:
# macOS: {"CPU": 45.2, "GPU": 38.5}
# Linux: {"coretemp-isa-0000": 42.0, "acpi-0": 35.5}
# Windows: {"ThermalZone _TZ.TZ00": 41.3}

Process Monitoring

# Get top 5 processes by CPU usage (default)
top_processes = stats.get_top_n_processes()
print(top_processes)

# Get top 10 processes by CPU usage
top_cpu = stats.get_top_n_processes(n=10, type="cpu")

# Get top 15 processes by memory usage
top_memory = stats.get_top_n_processes(n=15, type="mem")

# Returns: [{"pid": 1234, "name": "chrome", "usage": 15.2}, ...]

System Health Score

import statz.health as health

# Get simple health score (0-100)
health_score = health.system_health_score()
print(f"System Health: {health_score}/100")

# Get detailed health breakdown
health_details = health.system_health_score(cliVersion=True)
print(health_details)
# Returns: {
#   "cpu": 85.2,
#   "memory": 76.8,
#   "disk": 64.1,
#   "temperature": 70.5,
#   "battery": 100.0,
#   "total": 78.4
# }

Performance Benchmarking

import statz.benchmark as benchmark

# Run CPU performance benchmark
cpu_bench = benchmark.cpu_benchmark()
print(cpu_bench)
# Returns: {"execution_time": 0.025, "fibonacci_10000th": "...", "prime_count": 1229, "score": 750.2}

# Run memory performance benchmark
mem_bench = benchmark.mem_benchmark()
print(mem_bench)
# Returns: {"execution_time": 0.15, "sum_calculated": 999999000000, "score": 666.7}

# Run disk performance benchmark
disk_bench = benchmark.disk_benchmark()
print(disk_bench)
# Returns: {"write_speed": 450.2, "read_speed": 380.1, "write_score": 450.2, "read_score": 380.1, "overall_score": 415.15}

Data Export & File Operations

import statz.file as file

# Export any function's output to a JSON file
file.export_into_file(stats.get_system_specs)
file.export_into_file(stats.get_hardware_usage)
file.export_into_file(lambda: health.system_health_score(cliVersion=True))

# Export to CSV format
file.export_into_file(stats.get_system_specs, csv=True)
file.export_into_file(stats.get_hardware_usage, csv=True)
file.export_into_file(stats.get_top_n_processes, csv=True)

# Export with function parameters
file.export_into_file(stats.get_top_n_processes, csv=True, params=(True, [10, "cpu"]))
file.export_into_file(benchmark.cpu_benchmark, csv=False)

# Securely delete a file
file.secure_delete("path/to/file")

File Comparison

import statz.file as file

# Compare two system spec files to see what changed
differences = file.compare(
    "statz_export_2025-01-23_10-30-15.json",  # Current specs
    "statz_export_2025-01-20_10-30-15.csv"    # Baseline specs
)

print(differences)
# Returns: {
#   "added": {"GPU.newProperty": "new_value"},
#   "removed": {"CPU.oldProperty": "old_value"}, 
#   "changed": {"RAM.capacity": {"from": "8192", "to": "16384"}},
#   "summary": {
#     "total_added": 1,
#     "total_removed": 1, 
#     "total_changed": 1,
#     "current_file": "statz_export_2025-01-23_10-30-15.json",
#     "baseline_file": "statz_export_2025-01-20_10-30-15.csv"
#   }
# }

# Supports cross-format comparison (JSON vs CSV, CSV vs JSON)
json_vs_csv = file.compare("specs.json", "baseline.csv")
csv_vs_json = file.compare("current.csv", "baseline.json")

Platform-Specific Notes

import platform
import statz.stats as stats

# Check current platform
current_os = platform.system()

if current_os == "Windows":
    # Windows supports all features including GPU, network, and battery specs
    specs = stats.get_system_specs(get_gpu=True, get_network=True, get_battery=True)
    
elif current_os in ["Darwin", "Linux"]:  # macOS or Linux
    # macOS/Linux don't support GPU, network, or battery specs
    specs = stats.get_system_specs(get_gpu=False, get_network=False, get_battery=False)

Error Handling

import statz.stats as stats
import statz.temp as temp
import statz.benchmark as benchmark
import statz.health as health
import statz.file as file

try:
    # System information functions
    specs = stats.get_system_specs()
    usage = stats.get_hardware_usage()
    temps = temp.get_system_temps()
    processes = stats.get_top_n_processes()
    health_score = health.system_health_score()
    
    # Performance benchmarks
    cpu_bench = benchmark.cpu_benchmark()
    mem_bench = benchmark.mem_benchmark()
    disk_bench = benchmark.disk_benchmark()
    
    # File operations
    file.export_into_file(stats.get_system_specs, csv=True)
    differences = file.compare("current.json", "baseline.csv")
    
except OSError as e:
    print(f"Unsupported operating system: {e}")
except Exception as e:
    print(f"Error getting system information: {e}")

Internet Testing

from statz.internet import internet_speed_test

results = internet_speed_test()

print(f"Download Speed (Mbps): {results[0]}, Upload Speed (Mbps): {results[1]}, Ping (ms): {results[2]}")

Connected Device Monitoring

from statz.stats import connected_device_monitoring

devices = connected_device_monitoring()
print(devices)

Port Scanning

from statz.network import scan_open_ports

ports = scan_open_ports()
print(ports)

Changelog

Port Scanner

  • You can now scan specified ports on a certain host to see if they are open.
  • Example Usage: network.scan_open_ports(starting_port, ending_port, host_ip)

Secure Delete

  • You can now securely delete files. It will overwrite it with random data 5 times and then rename it to something random, before deleting it.
  • Example CLI Usage: statz --securedelete --path specs.json
  • Example API Usage: file.secure_delete(specs.json)

Removed GPU Usage

  • GPU usage has been removed from the app due to it being extremely buggy and unreliable. Sorry.

Side Note

If you find any errors on Linux, please report them to me with as much detail as possible as I do not have a Linux machine.

About

statz is a cross-platform Python package that fetches real-time system usage and hardware specs, all wrapped in a simple, clean API.

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