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Freezing Python Dependencies Inside Bioconductor Packages

Bioconductor version: Release (3.19)

Installs a self-contained conda instance that is managed by the R/Bioconductor installation machinery. This aims to provide a consistent Python environment that can be used reliably by Bioconductor packages. Functions are also provided to enable smooth interoperability of multiple Python environments in a single R session.

Author: Aaron Lun [aut, cre, cph], Vince Carey [ctb]

Maintainer: Aaron Lun <infinite.monkeys.with.keyboards at>

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


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:

Motivation HTML R Script
Reference Manual PDF


biocViews Infrastructure, Software
Version 1.16.0
In Bioconductor since BioC 3.11 (R-4.0) (4 years)
License GPL-3
Depends reticulate
Imports utils, methods, parallel, dir.expiry, basilisk.utils(>= 1.15.1)
System Requirements
Bug Reports
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Suggests knitr, rmarkdown, BiocStyle, testthat, callr
Linking To
Depends On Me scviR
Imports Me BiocHail, BiocSklearn, cbpManager, cfTools, crisprScore, densvis, FLAMES, HiCool, MACSr, MOFA2, orthos, pareg, Rcwl, recountmethylation, ReUseData, scPipe, SimBu, sketchR, snifter, spatialDE, velociraptor, zellkonverter
Suggests Me basilisk.utils, CuratedAtlasQueryR
Links To Me
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package basilisk_1.16.0.tar.gz
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64) basilisk_1.16.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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