Python Libraries Explorer
Discover, compare, and find detailed information about Python libraries for your projects.
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Python Libraries Explorer
Discover 39 Python libraries for your projects
NumPy
Fundamental package for scientific computing with Python, providing support for arrays, matrices, and mathematical functions.
Pandas
Fast, powerful, flexible and easy to use open-source data analysis and manipulation library.
Requests
Elegant and simple HTTP library for Python, built for human beings.
TensorFlow
End-to-end open-source platform for machine learning that enables easy model building and deployment.
PyTorch
Open-source machine learning library developed by Facebook's AI Research lab for deep learning applications.
Django
High-level Python web framework that encourages rapid development and clean, pragmatic design.
Flask
Lightweight WSGI web application framework designed to make getting started quick and easy, with the ability to scale up to complex applications.
Matplotlib
Comprehensive library for creating static, animated, and interactive visualizations in Python.
Scikit-learn
Machine learning library that features various classification, regression and clustering algorithms.
FastAPI
Modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints.
SQLAlchemy
SQL toolkit and Object-Relational Mapping (ORM) library for Python that provides a full suite of enterprise-level persistence patterns.
Pytest
Mature full-featured Python testing tool that helps you write better programs.
BeautifulSoup
Library for pulling data out of HTML and XML files, designed for quick turnaround projects like screen-scraping.
Pillow
Python Imaging Library (PIL) fork, adding image processing capabilities to your Python interpreter.
OpenCV
Open source computer vision and machine learning software library with Python bindings, designed to provide a common infrastructure for computer vision applications.
SciPy
Fundamental library for scientific computing, providing modules for optimization, linear algebra, integration, interpolation, and statistics.
XGBoost
Optimized distributed gradient boosting library designed for efficiency and performance.
Django REST Framework
Powerful and flexible toolkit for building Web APIs on top of Django.
Boto3
Amazon Web Services (AWS) SDK for Python, which allows Python developers to write software that makes use of AWS services.
Scrapy
Fast high-level web crawling and scraping framework for Python.
Seaborn
Statistical data visualization library based on matplotlib with a high-level interface for drawing attractive and informative statistical graphics.
Plotly
Interactive visualization library for Python that allows for the creation of beautiful interactive visualizations that can be displayed in Jupyter notebooks, saved as standalone HTML files, or embedded in web applications.
Dash
Framework for building analytical web applications in Python without requiring JavaScript.
NLTK
Natural Language Toolkit. Leading platform for building Python programs to work with human language data.
spaCy
Industrial-strength Natural Language Processing in Python, designed for production use.
Streamlit
Open-source Python library that makes it easy to create and share custom web apps for machine learning and data science.
Bokeh
Interactive visualization library that targets modern web browsers for presentation.
Gensim
Robust library for topic modeling and document similarity analysis.
Celery
Distributed task queue system for asynchronous task processing.
Cryptography
Provides cryptographic recipes and primitives to Python developers.
google-cloud-python
Official Python client library for Google Cloud Platform services.
aiohttp
Asynchronous HTTP client/server framework for asyncio and Python.
Polars
Lightning-fast DataFrame library built in Rust and powered by Apache Arrow.
Typer
Library for building CLI applications with type hints and autocompletion.
MLflow
Platform to manage the ML lifecycle including experimentation, reproducibility, and deployment.
Pygame
Cross-platform set of Python modules designed for writing video games.
Dask
Parallel computing library that scales Python and its ecosystem, providing advanced parallelism for analytics and enabling performance at scale for the tools you love.
PyQt
Cross-platform GUI toolkit combining Python and Qt.
Hypothesis
Advanced property-based testing library for Python.
Examples of Real-World Usage
Data Scientists & Analysts
Find the perfect libraries for data manipulation, statistical analysis, and machine learning to accelerate your workflow.
Web Developers
Discover Python frameworks and libraries for building robust web applications, APIs, and services.
AI & Machine Learning Engineers
Compare machine learning libraries to find the right tools for model development, training, and deployment.
DevOps Engineers
Explore libraries for automation, deployment, and infrastructure management to streamline your operations.
Students & Educators
Learn about Python libraries for different domains and compare their features, popularity, and learning curves.
Security Professionals
Find specialized security libraries for penetration testing, encryption, and security analysis.
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