Top 100 Python Pip Packages by Downloads (2025 Approximation) | Generated by AI

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As of 2025, a definitive list of the top 100 Python pip packages by download count is not directly available in a single reliable source, due to the dynamic nature of PyPI (Python Package Index) and the lack of real-time access to comprehensive download statistics in my data. However, I can provide an informed approximation based on recent trends, historical data from sources like the “Top PyPI Packages” repository, and insights from posts found on X and web analyses up to June 2025.

The “Top PyPI Packages” project by hugovk on GitHub provides a monthly dump of the 15,000 most-downloaded packages from PyPI, which is a strong starting point. Additionally, analyses from 2024 and early 2025 highlight packages critical to data science, machine learning, web development, and DevOps, which consistently dominate download rankings. Below, I’ll list 100 packages that are likely among the most downloaded in 2025, grouped by category for clarity, with explanations for their prominence. Note that exact rankings may vary slightly due to monthly fluctuations and emerging tools.

Methodology

Top 100 Python Pip Packages (Estimated for 2025)

Core Utilities and Package Management (10)

These are foundational tools for Python development, often pre-installed or universally used.

  1. pip - Package installer for Python. Essential for managing dependencies.
  2. setuptools - Enhances Python’s distutils for building and distributing packages.
  3. wheel - Built-package format for faster installations.
  4. packaging - Core utilities for version handling and package compatibility.
  5. virtualenv - Creates isolated Python environments.
  6. pipenv - Combines pip and virtualenv for dependency management.
  7. pyproject-toml - Parses pyproject.toml files for modern packaging.
  8. poetry - Dependency management and packaging tool with a focus on developer experience.
  9. hatch - Modern build system and package manager.
  10. pdm - Fast, modern package manager with PEP compliance.

HTTP and Networking (8)

Critical for web interactions and API integrations.

  1. requests - Simple, human-friendly HTTP library.
  2. urllib3 - Powerful HTTP client with thread safety and connection pooling.
  3. certifi - Provides Mozilla’s root certificates for SSL validation.
  4. idna - Supports Internationalized Domain Names.
  5. charset-normalizer - Detects and normalizes character encodings.
  6. aiohttp - Asynchronous HTTP client/server framework.
  7. httpx - Modern HTTP client with sync/async support.
  8. python-socketio - WebSocket and Socket.IO integration.

Cloud and AWS Integration (6)

Dominant due to AWS’s prevalence in cloud computing.

  1. boto3 - AWS SDK for Python, used for S3, EC2, and more.
  2. botocore - Low-level core functionality for boto3.
  3. s3transfer - Manages Amazon S3 file transfers.
  4. aiobotocore - Asyncio support for botocore.
  5. awscli - Command-line interface for AWS services.
  6. aws-sam-cli - CLI for AWS Serverless Application Model.

Data Science and Numerical Computing (12)

Core for scientific computing, data analysis, and ML.

  1. numpy - Fundamental package for numerical computations and arrays.
  2. pandas - Data manipulation and analysis with DataFrames.
  3. scipy - Scientific computing with optimization and signal processing.
  4. matplotlib - Data visualization with plots and charts.
  5. seaborn - Statistical data visualization built on matplotlib.
  6. plotly - Interactive plotting library.
  7. dask - Parallel computing for large datasets.
  8. numba - JIT compiler for speeding up numerical Python code.
  9. polars - Fast DataFrame library, 10–100x faster than pandas.
  10. statsmodels - Statistical modeling and econometrics.
  11. sympy - Symbolic mathematics and computer algebra.
  12. jupyter - Interactive notebooks for data science workflows.

Machine Learning and AI (12)

Essential for ML, deep learning, and NLP.

  1. tensorflow - Deep learning framework for neural networks.
  2. pytorch - Flexible deep learning framework with GPU acceleration.
  3. scikit-learn - Machine learning with algorithms for classification, regression, etc.
  4. keras - High-level API for neural networks, often used with TensorFlow.
  5. transformers - State-of-the-art NLP models from Hugging Face.
  6. xgboost - Gradient boosting for high-performance ML.
  7. lightgbm - Fast gradient boosting framework.
  8. catboost - Gradient boosting with categorical feature support.
  9. fastai - High-level API for deep learning with PyTorch.
  10. huggingface-hub - Access to Hugging Face models and datasets.
  11. ray - Distributed computing for ML workloads.
  12. nltk - Natural language processing toolkit.

Web Development Frameworks (8)

Popular for building web applications and APIs.

  1. django - High-level web framework for rapid development.
  2. flask - Lightweight web framework for minimal APIs.
  3. fastapi - High-performance async web framework.
  4. starlette - ASGI framework underpinning FastAPI.
  5. uvicorn - ASGI server implementation for FastAPI and Starlette.
  6. gunicorn - WSGI HTTP server for Django/Flask.
  7. sanic - Async web framework for high-speed APIs.
  8. tornado - Non-blocking web server and framework.

Database and Data Formats (8)

For handling data storage and interchange.

  1. psycopg2 - PostgreSQL adapter for Python.
  2. sqlalchemy - SQL toolkit and ORM for database interactions.
  3. pyyaml - YAML parser and emitter.
  4. orjson - Fast JSON parsing library.
  5. pyarrow - Apache Arrow integration for in-memory data processing.
  6. pymysql - MySQL connector for Python.
  7. redis - Python client for Redis key-value store.
  8. pymongo - MongoDB driver for Python.

Testing and Development Tools (8)

For code quality and testing.

  1. pytest - Flexible testing framework.
  2. tox - Automation tool for testing across Python versions.
  3. coverage - Code coverage measurement.
  4. flake8 - Linting tool for style and error checking.
  5. black - Opinionated code formatter.
  6. isort - Sorts Python imports automatically.
  7. mypy - Static type checker for Python.
  8. pylint - Comprehensive linter and code analyzer.

Web Scraping and Automation (6)

For data extraction and browser automation.

  1. beautifulsoup4 - HTML/XML parsing for web scraping.
  2. scrapy - Web scraping framework for large-scale projects.
  3. selenium - Browser automation for testing and scraping.
  4. playwright - Modern browser automation tool.
  5. lxml - Fast XML and HTML parsing.
  6. pyautogui - GUI automation for mouse/keyboard control.

Miscellaneous Utilities (12)

Widely used for specific tasks across domains.

  1. pillow - Image processing library (fork of PIL).
  2. pendulum - Intuitive datetime manipulation.
  3. tqdm - Progress bars for loops and tasks.
  4. rich - Beautiful console output with formatting.
  5. pydantic - Data validation and settings management.
  6. click - Command-line interface creation.
  7. loguru - Simplified logging for Python.
  8. humanize - Formats numbers and dates for human readability.
  9. pathlib - Modern filesystem path handling.
  10. pyinstaller - Bundles Python apps into executables.
  11. pywin32 - Windows API bindings for Python.
  12. python-dateutil - Extensions for datetime parsing.

Emerging or Niche Tools (10)

Gaining traction in 2025 based on community buzz.

  1. streamlit - Web app builder for data science dashboards.
  2. taipy - Simplified app builder for ML pipelines.
  3. mkdocs - Documentation generator for projects.
  4. sphinx - Advanced documentation tool.
  5. pydoc - Built-in documentation generator.
  6. gensim - Topic modeling and NLP analysis.
  7. networkx - Graph and network analysis.
  8. pyspark - Python API for Apache Spark (non-wheel package).
  9. delorean - Enhanced datetime manipulation.
  10. eli5 - ML model interpretability tool.

Notes

How to Explore Further

If you need a specific package’s details, installation instructions, or a subset (e.g., top 10 for a domain), let me know!

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