wisetimer 1.2.0

Smart timer with limits, code comparison and analysis

⏱️ WiseTimer - Smart Timer from 11-Year-Old Developer

Smart timer with limits, benchmarking, code comparison, and performance AI analysis.

✨ Features

✅All-in-one solution - multiple tools in one package
✅For everyone - suitable for both beginners and advanced developers
✅Multiple usage methods - methods, context managers, decorators, limits
✅Beautiful output with emojis 😊
✅Very simple API - easy to learn and use
✅Clear error messages - human-readable with solutions

📦 Installation

pip install wisetimer

🚀 Quick Start

from wisetimer import Timer

from wisetimer import Analyze

from wisetimer import Benchmark

import time

timer = Timer()

a = Analyze()
    
# Basic timer

print(timer.start())

print("Hello wisetimer!") 

print(timer.stop())

# Context manager for benchmarking

with Timer() as t:

    x = 1 + 2 + 3 + 4 + 5 + 6 + 7 + 8 + 9 + 0 

# Decorator for function timing

@Timer.funcTimer

def example():

    return "Hello world!"
    
result = example()

print(result)

# Benchmark comparison

with Benchmark("a"):

    print("Hello wisetimer!")

with Benchmark("b"):

    print("Hello wisetimer!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!")
    
Benchmark().compar()

Benchmark().reset()

with Benchmark("c"):

    print("Hello wisetimer")
    
with Benchmark("d"):

    print("Hello wisetimer!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!")
    
Benchmark().compar()

# Time limits

timer2 = Timer()

timer2.limit(0.1)# Set 0.1 second limit

for x in range(5):

    time.sleep(0.001)
    
    timer2.limitRevise()
    
print("✅Limit revise = OK")
    

# Code analysis
code = '''x = 0
for i in range(100):
    x = (range(1000))'''

analyzer = Analyze()

analyzer.AiCode(code)

📃 Detailed Documentation

Timer Class

Timer is the base class containing all timer functions.

Import

from wisetimer import Timer

Timer Methods

Timer().start() - starts the timer

Timer().stop() - stops the timer

Timer().lap()- creates a checkpoint without stopping

Timer().status() - returns timer status

Timer().reset() - stops and resets the timer

timer = Timer()

print(timer.start())    # ✅Timer started!

x = 1234567890

print(timer.lap())      # 🚩Checkpoint at ... sec.

print(x \* 100)

print(timer.stop())     # ⏰Timer stopped...

print(timer.reset())    # ✅Timer reset!

print(timer.start())     # Start again

print("Hi!")

print(timer.status())   # ✔️Timer running...

print(timer.stop())      # ⏰Timer stopped...

Timer().limit(seconds) - sets execution time limit and starts counting

Timer().limitRevise() - checks if limit is exceeded

timer = Timer()

timer.limit(0.1)

for x in range(5):

    time.sleep(0.001)
    
    timer.limitRevise()

@Timer.funcTimer - decorator for timing functions

@Timer.funcTimer

def example():

    return "Hello!"
    
result = example()

print(result)  #🕒Function 'example' executed in ... sec.

Context Manager - simple benchmark with with statement

with Timer() as t:

    x = 1 + 2 + 3 + 4 + 5 + 6 + 7 + 8 + 9 + 0

Benchmark Class

Benchmark class for creating and comparing named benchmarks.

Benchmark Methods

Benchmark("name") - named benchmark (default name is "_")

Benchmark().compar() - compares benchmark execution times and ploting a graph

Benchmark().reset() - clears benchmark data

with Benchmark("a"):

    print("Hello wisetimer!")
    
with Benchmark("b"):

    print("Hello wisetimer!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!")
    
Benchmark().compar() # Shows fastest and slowest

Benchmark().reset() # ✅Benchmarks reset!

with Benchmark("c"):

    print("Hello wisetimer")
    
with Benchmark("d"):

    print("Hello wisetimer!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!")
    
Benchmark().compar() # Shows fastest and slowest

Analyze Class

Analyze class for code performance analysis and optimization advice.

Analyze Methods

Analyze().checkpoint("name") - sets checkpoints for speed analysis (minimum 4 checkpoints required)

Analyze().getAdvice() - provides performance patterns based on checkpoints

for x in range(10):

    print(x)
    
    Analyze().checkpoint(x)
    
Analyze().getAdvice()

Analyze().AiCode('''Your code''') - analysis code using Google Gemeni AI!(the key is securely stored in the operating system(using the keyring library))

Analyze().AstCode('''Your code''') - analysis code using AST

code = '''

for i in range(1000):

    result = []
    
    result.append(i \* 2)
    
'''

analyzer = Analyze()

analyzer.AiCode(code)
analyzer.AstCode(code)

😮Error explanation

All errors are understandable toa personand contain an explanationand solution to it

❓What's new?

🆕Improved documentation

🆕Simplified api

🆕Instead of ast analysis, Google Gamini 3 AI has been added(the key is securely stored in the operating system)

🆕Improved structure

🆕Added ASCII graphs

📊Comparison with analogues

Feature	wisetimer	time.time()	cProfile	timeit
Ease of use	⭐⭐⭐⭐⭐	⭐⭐⭐⭐⭐	⭐	⭐⭐
Precision	nanoseconds	seconds	nanoseconds	nanoseconds
AI analysis	✅	❌	❌	❌
Optimization advice	✅	❌	❌	❌
Clear error messages	✅	❌	❌	❌
Time limits	✅	❌	❌	❌

👦🏻About the Developer

My name is Andrey Egupov, I'm 11 years old. I've been programming for several years. Started with Scratch, now I write in Python and JavaScript.

The idea for this library didn't come out of nowhere. I wanted to create something truly useful, spent a long time asking AI assistants what libraries Python was missing. But I eventually found a suitable one. The wisetimer library not only measures time like regular timer libraries do, but also gives optimization advice. It's very simple and suitable for everyone - both beginners and advanced developers due to its simple interface and system accuracy.

During development I learned a lot - from what optimization advice to give for code performance improvement, to benchmarking and decorators.

In the future I plan to develop my library: I'll add more unique advice, progress bars, and much more.

📄License

This project is distributed under the MIT license. For more details see the LICENSE file.

*Created by Andrey Egupov - 11-year-old developer 👦🏻

AI assistant helped with publication and development stages.

If you liked this project, please give it ⭐(a star) on GitHub*