Data Science

rpymat – creates and manages an isolated Miniconda and Python environment

rpymat is an R package that creates and manages an isolated Miniconda and Python environment for reproducible data-processing pipelines.

It provides tools for installing Python packages, running scripts, working with reticulate, and managing JupyterLab without relying on the system-wide Python installation. The package is designed to offer stable behaviour across architectures, including ARM systems.

This is free and open source software.

Key Features

  • Creates an isolated Miniconda and Python environment.
  • Supports reproducible R and Python processing pipelines.
  • Installs packages from Conda channels or with pip.
  • Runs system commands inside the managed Conda environment.
  • Installs and configures JupyterLab and related extensions.
  • Launches JupyterLab with configurable ports, directories, tokens, and browser behaviour.
  • Lists and stops active Jupyter servers.
  • Integrates with the reticulate R package.
  • Runs Python scripts and makes their results available to R.
  • Provides utilities for removing the complete managed environment.
  • Offers improved stability on ARM-based systems.

Website: github.com/dipterix/rpymat
Support:
Developer: Zhengjia Wang
License: Apache License 2.0

rpymat is written in R. Learn R with our recommended free books and free tutorials.


Related Software

Access Python from R
reticulateR Interface to Python
basiliskSmooth interoperability of multiple Python environments in a single R session

Read our verdict in the software roundup.


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