Line-by-line Python code profiler with optional memory tracking.
Project description
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pywhipper-0.1.0.tar.gz.
File metadata
- Download URL: pywhipper-0.1.0.tar.gz
- Upload date:
- Size: 4.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
34b99ccc9c4a9b2a3630410941446daf23f03d5266e019f156a03ebd823f249c
|
|
| MD5 |
2a4738881df7f7975295a3018522a260
|
|
| BLAKE2b-256 |
f3b7137cbef2a269fc5e86856a208957c8ad99eeb613e8cb3abd80226fbba6b6
|
File details
Details for the file pywhipper-0.1.0-py3-none-any.whl.
File metadata
- Download URL: pywhipper-0.1.0-py3-none-any.whl
- Upload date:
- Size: 4.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
dec036c543b0d82619863c3030fc4765a3fdbd134bad1e1cdb6829aa43e8b279
|
|
| MD5 |
bb3cdef4a15b1674245903f8668ce31c
|
|
| BLAKE2b-256 |
fd5391c6aa56980ae63b740610ec27786ad8dc66aa87fed2d1c4cc0cd25d7d13
|