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Get popularity metrics from CRAN or Bioconductor package

CRAN download

download_cran_df <- get_package_download_cran("admiral", years = 5)
head(download_cran_df)
version_infos <- check_and_fetch_cran_package("admiral")

GitHub commit activity

repo_info <- get_github_data("tidyverse", "ggplot2")
repo_info
df_commit <- get_commits_since("tidyverse", "ggplot2", years = 1)
head(df_commit)

Bioconductor download

download_bio_df <- get_package_download_bioconductor("limma")
head(download_bio_df$all_data)
#>         Date Year Month Nb_of_distinct_IPs Nb_of_downloads Cumulative_downloads
#> 1 2009-01-01 2009   Jan               3341            7053                 7053
#> 2 2009-02-01 2009   Feb               3229            6681                13734
#> 3 2009-03-01 2009   Mar               3753            8021                21755
#> 4 2009-04-01 2009   Apr               4025            8583                30338
#> 5 2009-05-01 2009   May               3476            7524                37862
#> 6 2009-06-01 2009   Jun               3763            7725                45587
#>   Cumulative_IPs
#> 1           3341
#> 2           6570
#> 3          10323
#> 4          14348
#> 5          17824
#> 6          21587
download_bio_df <- get_package_download_bioconductor("DESeq2")
head(download_bio_df$all_data)

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.