GitHut
Interactive data visualization tracking the popularity of programming languages on GitHub over time.
| What is it | Interactive data visualization tracking the popularity of programming languages on GitHub over time. |
|---|---|
| Pricing | Unknown |
| Platform | Web Application |
| Best for | Tracking language popularity trends for career planning, Researching language adoption in open-source projects |
| Domain registered | 2014 |
Data updated Aug. 1, 2026
What does GitHut do?
GitHut is a data visualization project that tracks and ranks the popularity of programming languages based on their activity within GitHub repositories. It presents this data in a clear, interactive chart that shows language rankings from 2012 to 2014, allowing you to see how languages like JavaScript, Java, and Python have trended over specific quarters. The tool measures activity by counting the number of pushes (changes) made to repositories for each language, providing a concrete metric for developer engagement rather than just repository count.
The site pulls its data from the GitHub Archive, which aggregates public event data from GitHub's API. This data is then processed and made available through Google BigQuery. What makes GitHut stand out is its simple, focused approach to a single question: which languages are developers actually using? It avoids complex dashboards in favor of a straightforward, ranked list you can filter by total activity or percentage share.
This tool is most useful for developers curious about language trends, students deciding which language to learn, or tech leaders making stack decisions. It provides a data-backed look at the ecosystem beyond hype, showing what languages have sustained activity in real-world projects. While the data is from 2014, it offers a fascinating snapshot of a specific era in software development.
Key features
What makes it stand outWho is GitHut for?
Who benefits most from this toolTrust & presence
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