The singularity and docker folders provide the definition files to create a container image that includes R and the Tidyverse packages alongside an installation of Apache Arrow and the apache-arrow R package. Intended to be run on a monthly basis via GitHub actions. update_tables.R: For all months from January 2017 to today, downloads and collates the daily count data into the complete tables.
Anaconda download download#
download_functions.R: Contains functions to download and process the parquet files containing the package download counts.Scripts for producing the count tables can be found in the R folder: Both are four column tables, with column names preserved from the Anaconda source files e.g.īiocPkgTools ::anacondaDownloadStats() % >% filter( Year = 2019, Month = "Jan ") Summarised counts for all packages distributed via Anaconda can be found in all_counts.tsv and all_counts.rds. The TSV files are UTF-8 encoded text files and the RDS file contain the data as a tibble. These are updated monthly with some lag behind the release of the data from Anaconda. Tab-separated and serialized R-object files for the two count tables can be found in the tsv and rdata folders respectively. This summarisation level was chosen to match the download statistics reported by the Bioconductor project ( ) and to that end we also make available count tables containing only Bioconductor packages distributed via bioconda. This repository provides TSV and RDS tables of monthly download counts for all packages, aggregated across all platforms and versions. However reading these data this is non-trivial in R.
The data are available in the Parquet file format on Amazon S3 and can be parsed relatively easily in Python (full details at ). The Anaconda project publishes summarized download counts of conda packages distributed via the Anaconda Distribution, and the conda-forge and bioconda channels ( ). Process and host download statistics for Anaconda packages
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