gousset 0.1.0

Your pocket profiler - elegant, friendly timing for Python functions

🕰️ Gousset

Your pocket profiler - Elegant, friendly timing for Python functions

Gousset (pronounced "goo-SAY") is a simple, unobtrusive timing profiler for Python. Like a elegant pocket watch, it sits quietly and tells you exactly what you need to know about your function performance.

✨ Features

• 🎯 One-line setup - Just gousset.instrument(my_module)
• 🔍 Automatic nested call detection - Captures internal function calls
• 📊 Rich statistics - Mean, std dev, min, max, call counts
• 🚫 Zero code changes - Your modules stay clean
• 📈 Production ready - Minimal overhead, comprehensive insights

🚀 Quick Start

import gousset
import my_module

# Instrument your module - that's it!
gousset.instrument(my_module)

# Use your functions normally
result = my_module.some_function()

# Statistics automatically print at program exit

📦 Installation

pip install gousset

🎭 Why Gousset?

Other tools are intimidating:

# cProfile - overwhelming output
python -m cProfile my_script.py  # 😵‍💫 Wall of text

# line_profiler - pollutes your code
@profile  # 😤 Decorators everywhere!
def my_function():
    pass

Gousset is friendly:

import gousset
gousset.instrument(my_module)  # 😌 One line, done!

📊 Sample Output

=== Gousset Timing Statistics for Module: my_module ===
----------------------------------------------------------------------
Function: slow_function
  Calls:        5
  Sum:     0.025123s
  Average: 0.005025s
  Std Dev: 0.000012s
  Min:     0.005008s
  Max:     0.005045s

Function: fast_function
  Calls:        8
  Sum:     0.008034s
  Average: 0.001004s
  Std Dev: 0.000003s
  Min:     0.001001s
  Max:     0.001009s

🔍 Advanced Example

import gousset
import requests_module
import database_module
import utils

# Instrument multiple modules
gousset.instrument(requests_module)
gousset.instrument(database_module)
gousset.instrument(utils)

# Your application runs normally
app.run()

# Exit statistics show timing for ALL instrumented modules:
# - Which functions are bottlenecks?
# - How many times is each function called?
# - What's the performance distribution?

🧪 Development

# Clone repository
git clone https://github.com/yourusername/gousset.git
cd gousset

# Install in development mode
pip install -e ".[dev]"

# Run tests
pytest tests/

# Run example
python examples/basic_usage.py

🤝 Contributing

Contributions welcome! Please read our Contributing Guidelines.

📝 License

MIT License - see LICENSE file.

🎯 Philosophy

"The best profiler is the one you actually use."

Gousset follows the principle of friendly tooling - powerful capabilities with zero friction. Like a trusted pocket watch, it should be:

• Elegant - Beautiful, clean output
• Reliable - Always works, minimal overhead
• Unobtrusive - Doesn't interfere with your work
• Insightful - Shows you exactly what you need to know

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Gousset - Timing, reimagined ⚡