600+ downloads in 1 month, My library "pystringtoolkit" on pypi

🚀 I Built a Python String Toolkit and Hit 500+ Downloads in 3 Weeks

After working on Python projects involving text parsing and data cleaning, I kept rewriting the same string helper functions over and over.

So I decided to do something about it — and created PyStringToolkit, a lightweight Python package for clean, reusable string manipulation.

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✨ What is PyStringToolkit?

PyStringToolkit is a Python library that offers a rich set of utilities for string transformation and formatting. Whether you're building web apps, cleaning up data, or preparing text for machine learning — this toolkit makes it easier.

🔗 PyPI: https://pypi.org/project/pystringtoolkit/

📦 Install via pip:

pip install pystringtoolkit

🔠 Key Features

✅ Case Conversion Utilities

• to_snake_case("Hello World") → "hello_world"
• to_camel_case("Hello World") → "helloWorld"
• to_pascal_case("Hello World") → "HelloWorld"
• to_kebab_case("Hello World") → "hello-world"

🧹 Text Cleaning Functions

• remove_punctuation("Hi! Are you... okay?") → "Hi Are you okay"
• remove_extra_spaces("a b c") → "a b c"
• truncate("This is a long sentence", 10) → "This is a..."

🔧 String Generation Tools

• slugify("Hello World!") → "hello-world"
• random_string(6) → "a7b9xZ" (random output)

📈 Why This Matters

⏱️ Saves time rewriting the same utility functions.
🧼 Encourages clean, readable code.
🚀 Already over 500+ downloads in just 3 weeks since launch!
👨‍💻 Perfect for devs working in:

• Web scraping
• ML text preprocessing
• Backend APIs
• Automation scripts

🧪 Quick Example

from pystringtoolkit import to_snake_case, remove_punctuation

text = "Hello World! How are you?"
print(to_snake_case(text))         # hello_world_how_are_you
print(remove_punctuation(text))    # Hello World How are you

💬 Feedback Welcome!

I’d love to hear:

• Feature requests?
• Bugs?
• Use cases where it helped you?

You can find the project on GitHub here:
🔗 https://github.com/RaeesFatima/pystringtoolkit

If you like it, consider giving it a ⭐️ and sharing it with others!

Thanks for reading! 🙌
Let’s keep building clean tools for the Python community!