R functions for managing Python condaenvironments.

conda_list(conda = "auto")

conda_create(envname, packages = "python", conda = "auto")

conda_remove(envname, packages = NULL, conda = "auto")

conda_install(envname, packages, forge = TRUE, pip = FALSE,
  pip_ignore_installed = TRUE, conda = "auto")

conda_binary(conda = "auto")

conda_version(conda = "auto")



Path to conda executable (or "auto" to find conda using the PATH and other conventional install locations).


Name of conda environment


Character vector with package names to install or remove.


Include the Conda Forge repository.


TRUE to use pip (defaults to FALSE)


Ignore installed versions when using pip. This is TRUE by default so that specific package versions can be installed even if they are downgrades. The FALSE option is useful for situations where you don't want a pip install to attempt an overwrite of a conda binary package (e.g. SciPy on Windows which is very difficult to install via pip due to compilation requirements).


conda_list() returns a data frame with the names and paths to the respective python binaries of available environments. conda_create() returns the Path to the python binary of the created environment. conda_binary() returns the location of the main conda binary or NULL if none can be found.