12 Hidden Gem Python Libraries You Should Know About!
Upgrade your Python toolkit with these hidden gems!
12 Hidden Gem Python Libraries You Should Know About!
Discover 12 underrated Python libraries that can boost your productivity and simplify development.
Python has a massive ecosystem of libraries, but many gems remain underrated despite being incredibly useful. Whether you’re a developer, data scientist, or automation enthusiast, these 12 lesser-known Python libraries can help you write better, faster, and more efficient code!
1. Rich — Beautiful Terminal Formatting
🔹 Why You Need It: Rich makes it easy to create beautifully formatted CLI applications with tables, syntax-highlighted code, and progress bars.https://rich.readthedocs.io/en/stable/introduction.html
🔹 Installation:
pip install rich🔹 Example:
from rich.console import Console
console = Console()
console.print("[bold green]Hello, Beautiful CLI![/bold green]")💡 Use it for: Colorful terminal outputs, progress bars, and logging.
2. Textual — Build TUI Apps Like a Pro
🔹 Why You Need It: Want to build interactive text-based user interfaces (TUIs)? Textual makes it possible!https://textual.textualize.io/
🔹 Installation:
pip install textual🔹 Example:
from textual.app import App, ComposeResult
from textual.widgets import Header, Footer, TextLog
class MyApp(App):
def compose(self) -> ComposeResult:
yield Header()
yield TextLog()
yield Footer()
MyApp().run()💡 Use it for: Building rich CLI applications without a GUI.
3. PyWhat — Identify Unknown Files & Text
🔹 Why You Need It: PyWhat can detect file formats, text encodings, and hidden data types in any input string or file.https://pypi.org/project/pywhat/
🔹 Installation:
pip install pywhat🔹 Example:
from pywhat import what
print(what("4f6b3d2a9c"))💡 Use it for: Cybersecurity, file format identification, and reverse engineering.
4. Faker — Generate Fake Data
🔹 Why You Need It: Need realistic fake data for testing? Faker can generate names, emails, addresses, and more.https://pypi.org/project/Faker/
🔹 Installation:
pip install faker🔹 Example:
from faker import Faker
fake = Faker()
print(fake.name(), fake.email(), fake.address())💡 Use it for: Creating test data for databases and applications.
5. PyFlow — Visual Programming for Python
🔹 Why You Need It: PyFlow lets you create Python applications using node-based visual programming.https://github.com/Bycelium/PyFlow
🔹 Installation:
pip install PyFlow💡 Use it for: Game development, simulations, and visual scripting.
6. Poetry — Modern Python Dependency Management
🔹 Why You Need It: Poetry simplifies dependency management and packaging in Python.https://python-poetry.org/docs/#ci-recommendations
🔹 Installation:
pipx install poetry🔹 Example:
poetry new my_project
cd my_project
poetry add requests💡 Use it for: Creating and managing Python projects with ease.
7. Jina — AI-Powered Search Framework
🔹 Why You Need It: Jina lets you build neural search engines for text, images, and audio.https://github.com/jina-ai/serve
🔹 Installation:
pip install jina💡 Use it for: Building AI-powered search applications.
8. Loguru — Better Logging in Python
🔹 Why You Need It: Loguru simplifies logging with less boilerplate and more flexibility.https://pypi.org/project/loguru/
🔹 Installation:
pip install loguru🔹 Example:
from loguru import logger
logger.info("This is an info message")💡 Use it for: Improved debugging and logging.
9. TQDM — Super Fast Progress Bars
🔹 Why You Need It: tqdm makes it easy to add progress bars to loops and CLI scripts.https://pypi.org/project/tqdm/
🔹 Installation:
pip install tqdm🔹 Example:
from tqdm import tqdm
for _ in tqdm(range(100)): pass💡 Use it for: Tracking progress in long-running scripts.
10. FlashText — Ultra-Fast Text Replacement
🔹 Why You Need It: FlashText is 100x faster than regex for keyword extraction and text replacement.https://pypi.org/project/flashtext/
🔹 Installation:
pip install flashtext🔹 Example:
from flashtext import KeywordProcessor
kp = KeywordProcessor()
kp.add_keyword("Python", "🐍")
print(kp.replace_keywords("I love Python!"))💡 Use it for: Fast text processing and keyword extraction.
11. Pyngrok — Expose Localhost to the Internet
🔹 Why You Need It: pyngrok lets you expose local servers to the internet using Ngrok.https://pypi.org/project/pyngrok/
🔹 Installation:
pip install pyngrok🔹 Example:
from pyngrok import ngrok
url = ngrok.connect(5000)
print("Public URL:", url)💡 Use it for: Hosting web apps locally for testing.
12. PrettyErrors — Make Python Errors Readable
🔹 Why You Need It: PrettyErrors makes error messages more readable by adding color and context.
🔹 Installation:
pip install pretty_errors💡 Use it for: Better debugging experience.
Final Thoughts
These 12 Python libraries might not be the most famous, but they can save you time, boost your productivity, and make development easier. Try them out and see how they can enhance your Python projects! 🚀
💡 Which one is your favorite? Did I miss any? Let me know in the comments!
