fluidtop 0.1.5
Real-time macOS hardware performance monitoring for Apple Silicon (M1/M2/M3/M4) with AI workload focus - enhanced asitop alternative
Requires Python: >=3.10
Keywords: ai, ane, apple-silicon, artificial-intelligence, asitop, cli, command-line, cpu, fluidtop, gpu, hardware, htop, m1, m2, m3, m4, machine-learning, macos, memory, ml, monitoring, neural-engine, nvtop, performance, powermetrics, realtime, system-monitor, terminal, workload

# FluidTop - MacOS Performance Monitor for Local AI

[![PyPI version](https://badge.fury.io/py/fluidtop.svg)](https://badge.fury.io/py/fluidtop)
[![Python 3.8+](https://img.shields.io/badge/python-3.8+-blue.svg)](https://www.python.org/downloads/)
[![macOS](https://img.shields.io/badge/macOS-Monterey%2B-green.svg)](https://www.apple.com/macos/)
[![Apple Silicon](https://img.shields.io/badge/Apple%20Silicon-M1%2FM2%2FM3%2FM4-orange.svg)](https://www.apple.com/mac/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

**Real-time macOS hardware performance monitoring CLI tool for Apple Silicon Macs (M1/M2/M3/M4+) with AI workload focus**

FluidTop is a Python-based `nvtop`-inspired command line tool specifically designed for Apple Silicon Macs. This enhanced and actively maintained fork of the original [asitop](https://github.com/tlkh/asitop) project provides comprehensive hardware monitoring with additional features, support for newer Apple Silicon chips, and optimizations for modern terminal emulators including Ghostty.

![View animated demo (GIF)](https://raw.githubusercontent.com/FluidInference/fluidtop/main/images/live.gif)

## 📦 Installation & Usage

### Quick Start with UV (Recommended)

```bash
# Install UV package manager (if not already installed)
curl -LsSf https://astral.sh/uv/install.sh | sh
```

```bash
# Run FluidTop directly without installation (one-time usage)
sudo uvx fluidtop

# Run with custom options
sudo uvx fluidtop --interval 2 --color 5 --avg 60

# Or install as a tool for regular usages
uv tool install fluidtop@latest -U
sudo uv tool run fluidtop
```

```bash
# to update fluidtop
uv tool install fluidtop@latest -U
```

```bash
# Run with custom options
sudo uvx fluidtop --interval 2 --color 5 --avg 60
```

### Install from PyPI

```bash
# Install with pip
pip install fluidtop

# Run after installation
sudo fluidtop
```

## 🚀 Key Features & Capabilities

### Hardware Monitoring
* **Real-time CPU monitoring** - Individual core utilization and frequency tracking
* **GPU performance tracking** - Apple GPU usage, memory, and power consumption  
* **Neural Engine (ANE) monitoring** - AI/ML workload detection and utilization
* **Memory usage monitoring** - RAM and swap memory tracking
* **Power consumption analysis** - CPU/GPU power draw with thermal throttling detection
* **Temperature monitoring** - System thermal state and throttling alerts

### Apple Silicon Support
* **Complete Apple Silicon coverage** - M1, M2, M3, M4, and future chip support
* **Optimized for modern terminals** - Enhanced Ghostty compatibility and performance
* **Hardware-specific metrics** - TDP specifications for all variants
* **Individual core monitoring** - Detailed per-core performance and efficiency tracking

### AI & Machine Learning Focus
* **AI workload detection** - Specialized monitoring for machine learning tasks
* **Neural Engine utilization** - Track AI inference and training workloads
* **Memory usage optimization** - Critical for large model performance
* **Future ML framework integration** - Planned support for popular AI libraries

### Development Installation

```bash
# Clone repository
git clone https://github.com/FluidInference/fluidtop.git
cd fluidtop

# Install in development mode
uv sync
sudo uv run fluidtop
```

## 🎛️ Command Line Options & Configuration

```bash
fluidtop [OPTIONS]

Options:
  --interval INTERVAL   Display refresh rate in seconds (default: 1.0)
  --color COLOR        Color theme selection 0-8 (default: 2)
  --avg AVG           Power averaging window in seconds (default: 30)
  --show_cores        Enable individual CPU core monitoring
  --max_count COUNT   Restart powermetrics after N samples (stability)
  -h, --help          Show help message and exit
```

### Usage Examples

```bash
# Basic monitoring with 1-second refresh
sudo fluidtop

# High-frequency monitoring for AI workloads
sudo fluidtop --interval 0.5 --show_cores

# Long-term monitoring with 60-second power averaging
sudo fluidtop --avg 60 --max_count 1000

# Custom color theme
sudo fluidtop --color 5
```

## 🔧 How FluidTop Works

FluidTop leverages macOS's built-in [`powermetrics`](https://www.unix.com/man-page/osx/1/powermetrics/) utility to access hardware performance counters with minimal system impact. Root privileges are required due to `powermetrics` security requirements.

### Technical Architecture

* **CPU/GPU Utilization:** Active residency measurements via `powermetrics`
* **Power Consumption:** Hardware energy counters and thermal state monitoring
* **Memory Statistics:** [`psutil`](https://github.com/giampaolo/psutil) virtual memory and swap tracking
* **System Information:** `sysctl` CPU details and `system_profiler` GPU specifications
* **Hardware Database:** Built-in TDP specifications for all Apple Silicon variants

**Note**: Bandwidth monitoring was removed as macOS 13 deprecated bandwidth support in powermetrics.

### System Requirements

* **Hardware:** Apple Silicon Mac (M1, M2, M3, M4, or newer)
* **Operating System:** macOS Monterey (12.0) or later
* **Python:** Python 3.8+ (automatically managed with UV)
* **Privileges:** Root access required for `powermetrics`

### Why Fork asitop?

The original `asitop` provided excellent Apple Silicon monitoring but lacked:

- **Modern hardware support** - M3, M4+ compatibility
- **Terminal compatibility** - Ghostty and modern terminal optimization  
- **AI workload focus** - Machine learning specific monitoring
- **Active maintenance** - Regular updates and bug fixes

### Migration from asitop

FluidTop is a drop-in replacement for asitop with identical command-line interface:

```bash
# Replace this:
sudo asitop

# With this:
sudo fluidtop
```

## 📚 Documentation

For detailed information, troubleshooting, and frequently asked questions, see our comprehensive [FAQ](docs/FAQ.md) which covers:

- **Apple Silicon Architecture**: Understanding E-CPU vs P-CPU cores
- **System Requirements**: Supported chips and compatibility  
- **Monitoring Details**: Power accuracy, Neural Engine tracking, and more
- **Troubleshooting**: Common issues and solutions
- **Migration Guide**: Differences from asitop and compatibility

## 🗺️ Roadmap & Development

### Completed Features
- ✅ Enhanced hardware support (M1-M4+)
- ✅ Ghostty terminal optimization  
- ✅ Improved documentation and user experience
- ✅ PyPI publishing and UV integration

### In Development
- 🔄 monitor a specific process/application
- 🔄 GUI-less monitoring and data collection
- 🔄 Performance data export capabilities (CSV, JSON)
- API interface for other Python services

## 🛠️ Development & Publishing

### Automated Release Process

FluidTop uses GitHub Actions to automate the entire release process. No manual steps required!

#### 🧪 Development Workflow

```bash
# Setup development environment
git clone https://github.com/FluidInference/fluidtop.git
cd fluidtop
uv sync

# Make changes to code
# Test changes locally
sudo uv run fluidtop

# Run with development options
sudo uv run fluidtop --interval 0.5 --show_cores

# Test build (optional)
uv build
sudo uv run fluidtop --help  # Verify build works
```


## 🐛 Known Issues & Contributing

### Current Issues
- Chart height doesn't adapt to terminal height (width works correctly)
- Plot colors don't always respect theme selection
- Long-running sessions may require periodic restart

### Contributing
- Report bugs and request features via [GitHub Issues](https://github.com/FluidInference/fluidtop/issues)
- Submit pull requests for bug fixes and improvements
- Improve documentation and examples
- Test on different Apple Silicon variants

## 📄 License

MIT License - maintaining compatibility with the original asitop project.

## 🙏 Acknowledgments

This project builds upon the excellent foundation created by [Timothy Liu](https://github.com/tlkh) with the original [asitop](https://github.com/tlkh/asitop) project. We extend our gratitude for creating the groundwork for Apple Silicon performance monitoring.

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**Keywords:** Apple Silicon monitoring, M1 M2 M3 M4 performance, macOS system monitor, AI workload tracking, Neural Engine monitoring, GPU utilization, real-time hardware stats, terminal performance tool, powermetrics CLI, asitop alternative