Python is booming and so is its Github page. This year was great for Python and we saw some very powerful python open-source projects to contribute to. Today, we’re listing down some of the top python open-source projects; try contributing to at least one of these, it will help improve your Python skills.
This is a micro web framework written in Python. It does not have form validation and a database abstraction layer, but it lets you use third-party libraries for common functions. And that is why it’s a microframework. Flask is designed to make creating apps easy and fast and is scalable and lightweight. It is based on the projects Werkzeug and Jinja2. You can learn more about it at DataFlair’s latest article on Python Flask.
OpenCV is an open-source computer vision and machine learning library. The library has more than 2500 optimized algorithms for computer vision tasks like detecting and recognizing objects, classifying different human activities, tracking movements with the camera, producing 3d models of objects, stitching images to get the high-resolution images and a lot more tasks. The library is available for many languages like Python, C++, Java, etc.
Number of stars on Github: 39585
This is an open-source software library that deals with Natural Language Processing and is written in Python and Cython. While NLTK is more for teaching and research purposes, spaCy’s job is to provide software for production. Also, Thinc is spaCy’s machine learning library featuring CNN models for part-of-speech tagging, dependency parsing, and named entity recognition.
Keras is a neural network library that is open-source and written in Python. It is user-friendly, modular, and extensible, and can run on top of TensorFlow, Theano, PlaidML, or Microsoft Cognitive Toolkit (CNTK). Keras has it all- layers, objectives, activation functions, optimizers, and much more. It also supports convolutional and recurrent neural networks.
It offers hosted error monitoring that is also open-source so you can discover and triage errors in real-time. Simply install the SDK for your language(s) or framework(s) and get started. It lets you capture unhandled exceptions, examine the stack trace, analyze the impact of each problem, track errors across different projects, assign issues, and much more. Using Sentry means fewer bugs and more shipped code.
Scikit-learn is another python open-source project. This is a very famous machine learning library for Python. Often used with NumPy and SciPy, scikit-learn offers classification, regression, and clustering- it has support for SVM (Support Vector Machines), random forests, gradient boosting, k-means, and DBSCAN. This library is written in Python and Cython for performance.
Number of stars on Github: 37,144
Librosa is one of the best python library for music and audio analysis. It provides the necessary building blocks which are used to retrieve information from music. The library is well documented and has several tutorials and examples to make your task easier.
Django is a high-level Python framework that encourages rapid development and believes in the DRY Principle (Don’t Repeat Yourself). It is a very powerful framework and the most-widely used web framework for Python. It follows the MTV pattern (Model-Template-View).
Number of stars on Github: 44,214
Number of stars on Github: 10,291
Pipenv promises to be a production-ready tool aiming to bring the best of all packaging worlds to the world of Python. Its terminal colors are pretty and it harnesses Pipfile, pip, and virtualenv into one command. It automatically creates and manages a virtualenv for your projects and gives users an easy way to setup a working environment.
This is a 3D rendering library written in vanilla Python. It renders 2D, 3D, higher dimensional objects and scenes in Python, and animations. It finds us in the fields of created videos, video games, physical simulations, and even pretty pictures. The requirements for this are PIL, numpy, and scipy.
Number of stars on Github: 451