pywhipper

pywhipper is a lightweight, zero-dependency Python profiler designed for developers who want clear, line-by-line insights into the runtime and memory behavior of their code. With support for both function-level and block-level profiling, pywhipper is an ideal tool for rapid debugging and performance analysis.

📦 Installation

Install pywhipper directly from PyPI:

pip install pywhipper

🚀 Key Features

• 🔍 Line-by-line execution time tracking
• 🧠 Optional memory usage measurement (via tracemalloc)
• 🧩 Profile entire functions with @whip
• ⚡ Profile code blocks with with whip()
• 📋 Clean, readable console outputs

🧪 Quick Start

Profile an Entire Function & Profile a Specific Code Block

from pywhipper import whip

# -------------------------------
# ✅ Approach 1 – Manual reverse
# -------------------------------

@whip(use_memory=True)
def reverse_string(s):
    string_list = list(s)
    left = 0
    right = len(string_list) - 1

    while left < right:
        string_list[left], string_list[right] = string_list[right], string_list[left]
        left += 1
        right -= 1
    return "".join(string_list)

string = 'sooraj'
print("Approach 1 result:", reverse_string(string))


# -------------------------------
# ✅ Approach 2 – Python slicing
# -------------------------------

with whip("Approach 2 slice reverse", use_memory=True):
    print("Approach 2 result:", string[::-1])

📊 Example Output

Profiling Function: reverse_string
Total Time: 0.000709 seconds
Memory measured in KB (approx)
------------------------------------------------------------
demo.py:9 | 0.000016s | +0.12 KB | string_list = list(s)
demo.py:10 | 0.000379s | +19.35 KB | left = 0
demo.py:11 | 0.000017s | +0.00 KB | right = len(string_list) - 1
demo.py:13 | 0.000017s | +0.00 KB | while left < right:
demo.py:14 | 0.000018s | +0.00 KB | string_list[left], string_list[right] = string_list[right], string_list[left]
demo.py:15 | 0.000019s | +0.00 KB | left += 1
demo.py:16 | 0.000017s | +0.00 KB | right -= 1
------------------------------------------------------------
Approach 1 result: jaroos

Timing block: Approach 2 slice reverse
Approach 2 result: jaroos
Done in 0.000037s | Memory: +0.45 KB

📌 License

This project is licensed under the MIT License.

🙋‍♂️ Author & Contributions

Developed by SOORAJ K K.

• GitHub: https://github.com/soorajInsights/pywhipper
• Contributions, bug reports, and feature requests are welcome via GitHub Issues.

⭐️ Why pywhipper?

pywhipper is designed for developers who want just the right amount of visibility into their code's behavior — without the overhead or complexity of full-scale profilers. Whether you're debugging a slow function, understanding memory leaks, or optimizing a script, pywhipper makes performance transparent, fast, and actionable.

Thank you for using pywhipper.