As the open-source community completed a decade of existence, GitHub released a report which reveals the top open source project trends for 2018, on the basis of contributors, visitors, and star activity data.
Today, GitHub is used by millions of developers to share code and build business. It isn’t just about the code (like all things in life), it’s the people that keep the project moving forward and alive along with the community of users.
Below are the top open-source project trends to look out for in the year ahead.
GitHub revealed that cross-platform/web development showed the highest activity growth in 2017. It was the most contributed, most visited, and most starred project.
The cross-platform development leads to easier development process and enables deployment across desktop and mobile platforms in lesser time.
As per the data, Angular/angular-cli repository saw the highest growth, with a 2.2 time increase in contributors in 2017, as compared to a year ago.
Deep learning & Machine learning
Artificial intelligence, especially its deep learning category, drove the interest of a number of users. The deep learning projects like Keras-team/Keras and Mozilla/DeepSpeech were the most contributed projects in 2017.
The popularity of image and speech recognition, and other such technologies among enterprises, is contributing towards the implementation of deep learning.
While Tensorflow repository provides scalable machine learning using data flow graphs, scikit-learn offers machine learning in Python language.
There were more coding skills which guided users with ways to pass software engineering interviews, and in picking up or brushing existing skills.
Apart from these trends, the code editing, containerization, development, and design also saw growth in 2017.