Python is a popular programming language, so it's no wonder that it has a strong open-source presence, with numerous robust projects that benefit from contributions from developers all over the world.
Here is a list of some of the most popular open-source Python projects.
Flask is a micro web framework written in Python. It is designed to make getting started quick and easy, with the ability to scale up to complex applications.
NewsData provides News API that scrapes news in Python and PHP. Get live breaking news or search historical news data for the past 5 years from 20,000+ sources using NewsDataio API. Collect the data in JSON or Excel Format.
TensorFlow is a Machine Learning Framework with a comprehensive, flexible ecosystem of tools, libraries, and community resources that enable researchers to push the boundaries of ML and developers to effortlessly build and deploy ML-powered applications.
Django is a Python web development framework that uses the Model-Template-View (MTV) design pattern. It includes the majority of the libraries and tools needed for popular use cases.
Keras is a Python-based Open Source Neural Network library that runs on top of TensorFlow, CNTK, or Theano.
Ansible is an open-source IT Configuration Management, Deployment, and Orchestration solution that makes it easier to deploy applications and systems.
PyTorch is an open-source machine learning library based on the Torch library that is used for computer vision and natural language processing.
Scikit-learn is an open-source Python library built on top of SciPy that has powerful tools for data analysis and data mining.
Pandas is a Python module that provides quick, versatile, and expressive data structures that make it simple and natural to work with "relational" or "labeled" data.
The world's simplest face recognition library allows you to recognize and manipulate faces from Python or the command line.
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