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The Herper package is a simple toolset to install and manage conda packages and environments from R

Bioconductor version: Release (3.19)

Many tools for data analysis are not available in R, but are present in public repositories like conda. The Herper package provides a comprehensive set of functions to interact with the conda package managament system. With Herper users can install, manage and run conda packages from the comfort of their R session. Herper also provides an ad-hoc approach to handling external system requirements for R packages. For people developing packages with python conda dependencies we recommend using basilisk ( to internally support these system requirments pre-hoc.

Author: Matt Paul [aut] , Thomas Carroll [aut, cre] , Doug Barrows [aut], Kathryn Rozen-Gagnon [ctb]

Maintainer: Thomas Carroll <tc.infomatics at>

Citation (from within R, enter citation("Herper")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Quick Start HTML R Script
Reference Manual PDF


biocViews Infrastructure, Software
Version 1.14.0
In Bioconductor since BioC 3.12 (R-4.0) (3.5 years)
License GPL-3
Depends R (>= 4.0), reticulate
Imports utils, rjson, withr, stats
System Requirements
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Suggests BiocStyle, testthat, knitr, rmarkdown
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Follow Installation instructions to use this package in your R session.

Source Package Herper_1.14.0.tar.gz
Windows Binary
macOS Binary (x86_64) Herper_1.14.0.tgz
macOS Binary (arm64)
Source Repository git clone
Source Repository (Developer Access) git clone
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