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.
- 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
pip install statzstatz comes with a powerful command-line interface that lets you get system information right from your terminal.
# 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 --dashboardThe live dashboard provides real-time monitoring of your system with an interactive interface:
# Launch the dashboard
statz --dashboardThe 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
# 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# 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| 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. |
# 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.jsonstatz provides a clean Python API for accessing system information programmatically. Here are examples of all available functions:
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)
)# 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
)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}# 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}, ...]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
# }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}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")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")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)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}")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]}")from statz.stats import connected_device_monitoring
devices = connected_device_monitoring()
print(devices)from statz.network import scan_open_ports
ports = scan_open_ports()
print(ports)- 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)
- 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)
- GPU usage has been removed from the app due to it being extremely buggy and unreliable. Sorry.
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.
