GitHub 上最流行的编程语言
GitHub 编程语言
![](/data/attachment/album/201504/25/220443zzg0df20mm20c0yl.png)


编程语言不仅仅是开发者用来创建程序或表达算法的工具，它们也是对创造力进行编码和解码的仪器。通过观察编程语言的历史，我们在追求为解决问题找到一个更好的方法，促进协作，构建好的产品以及重用他人的工作上得到一个独特的观点。


我们有大约 70% 的客户向我们的服务发送应用日志，因此我们能追踪哪种语言是最流行的，以及哪种语言获得了开发人员的关注。


基于从2012年以来的历史的[GitHub 归档](https://www.githubarchive.org/)和[GitHut](http://githut.info/)数据，我们分析了GitHub上大部分开发者的动作并绘制成你下面看到的信息图表。我们主要关注：


* 活跃库的数量，这是反应了人们正在研究的项目的有用度量。
* 每种语言总的推送数量以及每个库的平均推送次数。这些指标是由某种语言编写的项目的创新效率的指示器。
* 每个库新的fork数和发现的问题数目，这也显示了活跃度和创新性。
* 每个库新的观察者，这是开发人员兴趣的指示器。


查看信息图表并告诉我们你的想法！在你的同龄人中是怎么选择你使用的语言的？


![](/data/attachment/album/201504/25/221128wtwzhqrfqyriw92z.gif) 




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via: <https://www.loggly.com/blog/the-most-popular-programming-languages-in-to-github-since-2012/>


作者：[Justin Mares](https://www.loggly.com/blog/author/guest/) 译者：[ictlyh](https://github.com/ictlyh) 校对：[wxy](https://github.com/wxy)


本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创翻译，[Linux中国](http://linux.cn/) 荣誉推出


OK
# Most popular programming languages in GitHub

Programming languages are not simply the tools that developers use to create programs or express algorithms. They’re also instruments to code and decode creativity. By observing the history of programming languages, we gain a unique perspective on our quest to find better ways to solve problems, facilitate collaboration, build great products, and reuse the efforts of others.

About 70% of our customers send application logs to our service, so Loggly is interested in tracking which are the most popular programming languages and which ones are gaining traction among developers.

Based on the historical [GitHub Archive](https://www.githubarchive.org/) and [GitHut](https://githut.info/) data starting in 2012, we analyzed the most common developer actions within GitHub and turned it into the infographic you see below. We looked at:

- The number of active repositories, a useful proxy for the projects that people are working on right now.
- The total number of pushes per language as well as the average number of pushes per repository. These metrics are indicators of the rate of innovation occurring with projects being written in a particular language.
- New forks and open issues per repository, which also show active use and innovation.
- New watchers per repository, an indicator of developer interest.

** Check out the infographic and let us know what you think! How does your programming language of choice fare among your peers? **

*Click on image to view at full size.*

![Most Popular Languages According to GitHub Since 2012 loggly infographic](https://www.loggly.com/wp-content/uploads/2015/04/Most-Popular-Languages-According-to-GitHub-Since-2012-loggly-infographic_v3.png)


![Most Popular Languages According to GitHub Since 2012 loggly infographic](https://www.loggly.com/wp-content/uploads/2015/04/Most-Popular-Languages-According-to-GitHub-Since-2012-loggly-infographic_v3.png)

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![Justin Mares](https://www.loggly.com/wp-content/uploads/2015/03/justin-mares-220x220.png)

**Justin Mares**