pytrack-sent 0.2

Lightweight Python performance & event tracker

PyTrack -- Efortless Performance Tracking for Python

Track. Analyze. Improve

• PyTrack is a lightweight, type-safe performance tracker built for developers who want deep insights into their code without the hassle.
• Perfect for Discord bots, APIs, data scripts, or any Python project that needs precise execution metrics.

Features

• Function-level tracking — Measure execution time with a simple decorator

• Session reports — Automatically summarize tracked function performance

• Context managers — Profile any code block in a clean, readable way

• Structured output — Easy-to-parse logs for data visualization

• Type-safe design — Fully typed with Python 3.10+ annotations

• Pluggable system — Extend with custom loggers, filters, or exporters

Example

from pytrack_sent import PyTrack

tracker = PyTrack()
my_dict = {}

@tracker.track
def slow_task():
    for _ in range(10**7):
        my_dict[_] = _
    tracker.event("slow_task_completed")

@tracker.track 
def slowertask():
    for _ in range(4):
        slow_task()

slow_task()
slowertask()
tracker.summary()

Output

📊 PyTrack Report: default
 - slow_task: 5 calls, avg 1.0056s
 - slowertask: 1 calls, avg 3.8714s

Events:
 - slow_task_completed: 5 times

Why PyTrack?

Unlike heavy profilers, PyTrack is developer-friendly, portable, and customizable. It’s perfect for measuring performance in scripts, bots, or production-ready apps without slowing them down.

Installation

pip install pytrack-sent

GUI Dashboard (coming soon)

A built-in dashboard for visualizing tracked data in real-time using a simple pytrack dashboard command.

Planned Integrations

• Discord.py command profiling

• Matplotlib and Plotly report generation

• Cloud export support (JSON/CSV)

• AI code profiling insights (experimental)

Made for developers who care about performance.

Simple. Typed. Transparent. See live performance charts, trends, and insights right from your terminal or browser