The Most Active Python packages
Page 1

  • Sentry

    9.8 10.0 L3 Logging
    Developer-first error tracking and performance monitoring

  • tensorflow

    10.0 10.0 L1 Machine Learning
    An Open Source Machine Learning Framework for Everyone

  • Pytorch

    10.0 10.0 L3 Deep Learning
    Tensors and Dynamic neural networks in Python with strong GPU acceleration

  • elasticsearch-py

    10.0 10.0 L2 Search
    Free and Open, Distributed, RESTful Search Engine

  • PaddlePaddle

    9.6 10.0 L1 Machine Learning
    PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

  • Airflow

    9.8 10.0 Workflow Engine
    Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

  • MindsDB

    9.5 10.0 Machine Learning
    The platform for customizing AI from enterprise data

  • Ray

    9.7 10.0 Concurrency and Parallelism
    Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  • PySpark

    9.9 10.0 MapReduce
    Apache Spark - A unified analytics engine for large-scale data processing

  • Nuitka

    8.9 10.0 L2 Distribution
    Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.

  • NumPy

    9.8 10.0 L1 Science and Data Analysis
    The fundamental package for scientific computing with Python.

  • Ruff

    9.5 10.0 Code Analysis and Linter Linter
    An extremely fast Python linter and code formatter, written in Rust.

  • Prefect

    9.3 10.0 Job Scheduler
    The easiest way to build, run, and monitor data pipelines at scale.

  • SymPy

    9.4 10.0 L2 Science and Data Analysis
    A computer algebra system written in pure Python

  • matplotlib

    9.7 10.0 L3 Data Visualization
    matplotlib: plotting with Python

  • Pandas

    9.9 10.0 L2 Science and Data Analysis
    Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

  • SaltStack

    9.5 10.0 L2 DevOps Tools
    Software to automate the management and configuration of any infrastructure or application at scale. Get access to the Salt software package repository here:

  • SciPy

    9.4 9.9 L2 Science and Data Analysis
    SciPy library main repository

  • pillow

    9.2 9.9 L3 Imagery
    Python Imaging Library (Fork)

  • Textual

    9.5 9.9 GUI
    The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.

  • PEP 8 Speaks

    3.9 9.9 RESTful API Flask
    A GitHub :octocat: app to automatically review Python code style over Pull Requests

  • Wagtail

    9.5 9.9 L3 CMS
    A Django content management system focused on flexibility and user experience

  • scikit-learn

    9.9 9.9 L3 Machine Learning
    scikit-learn: machine learning in Python

  • Apache Superset

    9.8 9.9 L2 Data Visualization
    DISCONTINUED. Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]

  • Selenium

    9.8 9.9 L2 Testing GUI / Web Testing
    A browser automation framework and ecosystem.

  • NiceGUI

    8.3 9.9 GUI
    Create web-based user interfaces with Python. The nice way.

  • cryptography

    8.5 9.9 L2 Cryptography
    cryptography is a package designed to expose cryptographic primitives and recipes to Python developers.

  • gRPC

    9.8 9.9 L3 RPC Servers
    The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)

  • MLflow

    9.5 9.9 Machine Learning
    Open source platform for the machine learning lifecycle

  • astropy

    8.2 9.9 L2 Science and Data Analysis
    Astronomy and astrophysics core library

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