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With GitStats you can pull git data in a uniform way (table format) from GitHub and GitLab. For the time-being you can get data on:
From CRAN:
install.packages("GitStats")
From GitHub:
::install_github("r-world-devs/GitStats") devtools
Setup your GitStats
:
library(GitStats)
<- create_gitstats() |>
git_stats set_gitlab_host(
repos = "mbtests/gitstatstesting"
|>
) set_github_host(
orgs = "r-world-devs",
repos = "openpharma/DataFakeR"
)
Get commits:
<- git_stats |>
commits get_commits(
since = "2022-01-01"
)
commits#> # A tibble: 2,178 × 11
#> id committed_date author author_login author_name additions deletions
#> <chr> <dttm> <chr> <chr> <chr> <int> <int>
#> 1 7f48… 2024-09-10 11:12:59 Macie… maciekbanas Maciej Ban… 0 0
#> 2 9c66… 2024-09-10 10:35:37 Macie… maciekbanas Maciej Ban… 0 0
#> 3 fca2… 2024-09-10 10:31:24 Macie… maciekbanas Maciej Ban… 0 0
#> 4 e8f2… 2023-03-30 14:15:33 Macie… maciekbanas Maciej Ban… 1 0
#> 5 7e87… 2023-02-10 09:48:55 Macie… maciekbanas Maciej Ban… 1 1
#> 6 62c4… 2023-02-10 09:17:24 Macie… maciekbanas Maciej Ban… 2 87
#> 7 55cf… 2023-02-10 09:07:54 Macie… maciekbanas Maciej Ban… 92 0
#> 8 C_kw… 2023-05-08 09:43:31 Kryst… krystian8207 Krystian I… 18 0
#> 9 C_kw… 2023-04-28 12:30:40 Kamil… <NA> Kamil Kozi… 18 0
#> 10 C_kw… 2023-03-01 15:05:10 Kryst… krystian8207 Krystian I… 296 153
#> # ℹ 2,168 more rows
#> # ℹ 4 more variables: repository <chr>, organization <chr>, repo_url <chr>,
#> # api_url <glue>
|>
commits get_commits_stats(
time_aggregation = "month",
group_var = author
)#> # A tibble: 228 × 4
#> stats_date githost author stats
#> <dttm> <chr> <chr> <int>
#> 1 2022-01-01 00:00:00 github Admin_mschuemi 1
#> 2 2022-01-01 00:00:00 github Gowtham Rao 5
#> 3 2022-01-01 00:00:00 github Krystian Igras 1
#> 4 2022-01-01 00:00:00 github Martijn Schuemie 1
#> 5 2022-02-01 00:00:00 github Hadley Wickham 3
#> 6 2022-02-01 00:00:00 github Martijn Schuemie 2
#> 7 2022-02-01 00:00:00 github Maximilian Girlich 13
#> 8 2022-02-01 00:00:00 github Reijo Sund 1
#> 9 2022-02-01 00:00:00 github eitsupi 1
#> 10 2022-03-01 00:00:00 github Maximilian Girlich 14
#> # ℹ 218 more rows
Get repositories:
|>
git_stats get_repos(
with_code = "shiny",
add_contributors = FALSE
)#> # A tibble: 6 × 16
#> repo_id repo_name organization fullname platform repo_url api_url
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 627452680 hypothesis r-world-devs r-world-d… github https:/… https:…
#> 2 604718884 shinyTimelines r-world-devs r-world-d… github https:/… https:…
#> 3 495151911 shinyCohortBuilder r-world-devs r-world-d… github https:/… https:…
#> 4 495144469 cohortBuilder r-world-devs r-world-d… github https:/… https:…
#> 5 884789327 GitAI r-world-devs r-world-d… github https:/… https:…
#> 6 586903986 GitStats r-world-devs r-world-d… github https:/… https:…
#> # ℹ 9 more variables: created_at <dttm>, last_activity_at <dttm>,
#> # last_activity <drtn>, default_branch <chr>, stars <int>, forks <int>,
#> # languages <chr>, issues_open <int>, issues_closed <int>
Get files:
|>
git_stats get_files(
pattern = "\\.md",
depth = 2L
)#> # A tibble: 51 × 8
#> repo_name repo_id organization file_path file_content file_size repo_url
#> <chr> <chr> <chr> <chr> <chr> <int> <chr>
#> 1 GitStats Test… gid://… mbtests README.md "# GitStats… 122 https:/…
#> 2 shinyGizmo R_kgDO… r-world-devs NEWS.md "# shinyGiz… 2186 https:/…
#> 3 shinyGizmo R_kgDO… r-world-devs README.md "\n# shinyG… 2337 https:/…
#> 4 shinyGizmo R_kgDO… r-world-devs cran-com… "## Test en… 1700 https:/…
#> 5 cohortBuilder R_kgDO… r-world-devs NEWS.md "# cohortBu… 917 https:/…
#> 6 cohortBuilder R_kgDO… r-world-devs README.md "\n# cohort… 15828 https:/…
#> 7 shinyCohortBu… R_kgDO… r-world-devs NEWS.md "# shinyCoh… 2018 https:/…
#> 8 shinyCohortBu… R_kgDO… r-world-devs README.md "\n# shinyC… 3355 https:/…
#> 9 cohortBuilder… R_kgDO… r-world-devs README.md "\n# cohort… 3472 https:/…
#> 10 GitStats R_kgDO… r-world-devs LICENSE.… "# MIT Lice… 1075 https:/…
#> # ℹ 41 more rows
#> # ℹ 1 more variable: api_url <chr>
Get package usage:
|>
git_stats get_R_package_usage(
packages = c("shiny", "purrr"),
split_output = TRUE
)#> $shiny
#> # A tibble: 5 × 11
#> package package_usage repo_id repo_fullname repo_name default_branch
#> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 shiny import 495144469 r-world-devs/cohor… cohortBu… dev
#> 2 shiny import, library 495151911 r-world-devs/shiny… shinyCoh… dev
#> 3 shiny import, library 604718884 r-world-devs/shiny… shinyTim… master
#> 4 shiny import, library 884789327 r-world-devs/GitAI GitAI main
#> 5 shiny import, library 627452680 r-world-devs/hypot… hypothes… master
#> # ℹ 5 more variables: created_at <dttm>, organization <chr>, repo_url <chr>,
#> # api_url <chr>, platform <chr>
#>
#> $purrr
#> # A tibble: 6 × 11
#> package package_usage repo_id repo_fullname repo_name default_branch
#> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 purrr import 495144469 r-world-devs/cohortB… cohortBu… dev
#> 2 purrr import 495151911 r-world-devs/shinyCo… shinyCoh… dev
#> 3 purrr import 586903986 r-world-devs/GitStats GitStats master
#> 4 purrr import 884789327 r-world-devs/GitAI GitAI main
#> 5 purrr import 627452680 r-world-devs/hypothe… hypothes… master
#> 6 purrr import 402384343 openpharma/DataFakeR DataFakeR master
#> # ℹ 5 more variables: created_at <dttm>, organization <chr>, repo_url <chr>,
#> # api_url <chr>, platform <chr>
#>
#> attr(,"class")
#> [1] "R_package_usage" "list"
#> attr(,"packages")
#> [1] "shiny" "purrr"
#> attr(,"only_loading")
#> [1] FALSE
Print GitStats
to see what it stores:
git_stats#> A GitStats object for 2 hosts:
#> Hosts: https://gitlab.com/api/v4, https://api.github.com
#> Scanning scope:
#> Organizations: [1] r-world-devs
#> Repositories: [2] mbtests/gitstatstesting, openpharma/DataFakeR
#> Storage:
#> Repositories: 6
#> Commits: 2178 [date range: 2022-01-01 - 2025-01-10]
#> Files: 51 [file pattern: \.md]
#> R_package_usage: 2 [packages: shiny, purrr]
Special thanks to James Black, Karolina Marcinkowska, Kamil Koziej, Matt Secrest, Krystian Igras, Kamil Wais, Adam Forys - for the support in the package development.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.