peekpy 0.1.0a4

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PeekPy

PeekPy is a lightweight Python library for collecting runtime statistics and profiling function calls.

• ✅ Easy to integrate using decorators
• ⏱️ Built-in analyzers like call counter and execution timer
• 🧩 Extensible via custom analyzers
• 📦 Production ready and configurable

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Installation

pip install peekpy

Quick Start

from peekpy.core.analyzers.call_counter import CallCounter
from peekpy.core.analyzers.timer import TimerCount
from peekpy.storage import save_stats_to_file


enable()  # Enable PeekPy globally

@analyze(analyzers=[CallCounter(), Timer()])
def my_function(x, y):
    return x + y

my_function(3, 4)
my_function(1, 2)

print(manager.get_stats())  # Print collected stats
save_stats_to_file("stats.json")

Features

• CallCounter → tracks how many times a function is called
• Timer → measures execution time per call
• StatsManager → central place to store and export stats
• @analyze() → flexible and customizable decorator

Usage

@analyze Decorator

@analyze(analyzers=[CallCounter(), Timer()])
def your_function(): ...

Each analyzer must implement a .before() and .after() method, and inherits from BaseAnalyzer.

Enable or Disable Analysis Globally

from peekpy.config import enable, disable, is_enabled

enable()
# or
disable()

Exporting Statistics

All statistics are collected by the StatsManager singleton:

import peekpy
from peekpy.storage import save_stats_to_file


print(json.dumps(peekpy.get_stats(), indent=4))

save_stats_to_file("stats.json")