Python is a popular programming language, so it is no surprise that it has a large opensource presence with many powerful projects that receives contribution from developers around the world.
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.
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.
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.
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.
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
Have you worked on any OpenCV project yet? Here is one for FREE – Gender and Age Detection Project
This is a module for fast and easy implementation of statistical learning on NeuroImaging data. This makes use of scikit-learn for multivariate statistics for predictive modeling, classification, decoding, and connectivity analysis. Nilearn is a part of the NiPy ecosystem, which is a community devoted to using Python for analyzing neuroimaging data.
Number of stars on Github: 549
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
PyTorch is another open-source machine learning library written in and for Python. This is based on the Torch library, and is great for domains like computer vision and natural language processing (NLP). It also has a C++ frontend. Among many other features, PyTorch offers two high-level ones:
- Tensor computing with strong acceleration using GPU
- Deep neural networks
Number of stars on Github: 31,779
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.
Number of stars on Github: 3107
Implement Python Open-source Project with Librosa – Speech Emotion Recognition
Gensim is a Python library for topic modeling, document indexing, and similarity retrieval with large corpora. It targets the NLP and information retrieval communities. Gensim is short for ‘generate similar’. Earlier, this would generate a shortlist of articles similar to a given article. Gensim is clear, efficient, and scalable. This implements efficient and hassle-free realization of unsupervised semantic modeling from plain text.
Number of stars on Github: 9,870
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
12. Face Recognition
Face Recognition is a popular project on GitHub- it easily recognizes and manipulates faces using Python/command line and uses the world’s simplest face recognition library for this. This uses dlib with deep learning to detect faces with an accuracy of 99.38% on the Labeled Faces in the Wild benchmark.
Number of stars on Github: 28,267
Number of stars on Github: 10,291
pandas is a data analysis and manipulation library for Python and offer labeled data structures and statistical functions.
Number of stars on Github: 21,404
Python open-source project to try with Pandas – Detecting Parkinson Disease
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.
Number of stars on Github: 18,322
While Python’s development community is large, it can be daunting to find appropriate and relevant existing Python projects to start from. Below is a list of various active Python-related open source projects which have valuable and rich documentation and/or source code.
Open source python code is more common than you think. Whether solving problems for the scientific community or creating new web tools, teams of developers from around the world contribute to these shared resources every day. Why should you care? Because these projects are freely available to use in whatever way you see fit—and some of them are actually fun to use!