Timeline of the most popular programming languages since 1965 to 2019. So far the most intense ranking I've ever done :) For recent years I've used multiple programming languages popularity indexes with adjustments thanks to the data from GitHub repositories access frequency. For historical ranking I've used aggregation of multiple national surveys to establish several data points, plus a world wide publications rate of occurrence. In this ranking popularity is defined by percentage of programmers with either proficiency in specific language or currently learning/mastering one. Y axis a relative value to define ranking popularity between all other items.
Timeline of the Most Popular Programming Languages (1965–2019)
Dive into the fascinating history of programming languages with this comprehensive timeline spanning from 1965 to 2019. This video tracks the rise and fall of the world’s most widely used programming languages, based on factors such as developer adoption, industry demand, and community support.
Starting from early pioneers like Fortran, COBOL, and BASIC, the timeline moves through the emergence of influential languages such as C and C++, which shaped system and application programming. The rise of Java and JavaScript in the late 1990s and early 2000s revolutionized web development, while Python's explosive growth in recent years highlights its versatility in data science, AI, and automation.
The data reflects shifts in technology trends, corporate backing, and the evolving needs of software development communities worldwide. This overview offers a clear picture of how programming languages have adapted to meet changing challenges in computing over more than five decades.
Fun Facts & Trivia:
Fortran, created in the 1950s, is still used today in scientific computing.
JavaScript, initially developed in 10 days, now powers almost every website globally.
Python’s popularity surged with the rise of AI and machine learning.
Keywords: popular programming languages, programming language trends, language popularity timeline, coding languages history, developer tools evolution.
Source: Data Is Beautiful
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