Supplementary Table 1. Select data science resources. Metrics in all tables were assessed on 2018-11-30.
| Name | Description | URL | Stars | Watchers | Forks |
|---|---|---|---|---|---|
| free-programming-books | books Freely available programming books | https://github.com/EbookFoundation/free-programming-books | 114409 | 8014 | 28871 |
| every-programmer-should-know | A collection of mostly technical things every software developer should know | https://github.com/mtdvio/every-programmer-should-know | 35592 | 1652 | 3201 |
| awesome-public-datasets | A topic-centric list of HQ open datasets in public domains New PR | https://github.com/awesomedata/awesome-public-datasets | 29399 | 1901 | 4882 |
| Best-websites-a-programmer-should-visit | link Some useful websites for programmers | https://github.com/sdmg15/Best-websites-a-programmer-should-visit | 23387 | 986 | 2587 |
| awesome-docker | whale A curated list of Docker resources and projects | https://github.com/veggiemonk/awesome-docker | 13016 | 667 | 1493 |
| awesome-R | A curated list of awesome R packages frameworks and software | https://github.com/qinwf/awesome-R | 3260 | 389 | 1105 |
| awesome-pipeline | A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin | https://github.com/pditommaso/awesome-pipeline | 1793 | 147 | 211 |
| awesome-rshiny | An awesome R-shiny list | https://github.com/grabear/awesome-rshiny | 207 | 27 | 48 |