https://github.com/mamba-org/rhumba

The R package manager that is blazingly fast ⚡. Powered by mamba.
https://github.com/mamba-org/rhumba

Last synced: about 2 months ago
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The R package manager that is blazingly fast ⚡. Powered by mamba.

• Host: GitHub
• URL: https://github.com/mamba-org/rhumba
• Owner: mamba-org
• License: bsd-3-clause
• Created: 2020-08-07T16:49:59.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2022-10-06T08:23:59.000Z (almost 2 years ago)
• Last Synced: 2024-05-05T04:33:14.134Z (5 months ago)
• Language: C++
• Homepage:
• Size: 409 KB
• Stars: 70
• Watchers: 8
• Forks: 8
• Open Issues: 7
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• awesome-blazingly-fast - rhumba - The R package manager that is blazingly fast ⚡. Powered by mamba. (C++)

README

        
![rhumba header image](rhumba_header.png)

# Rhumba 🐍

Rhumba is a fast R package manager ⚡, powered by [mamba](https://github.com/mamba-org/mamba/).

It is still in early stages of development.

## Installation

With either `mamba` or `conda`:

`mamba install rhumba` or `conda install rhumba`

## Use

You can use `rhumba` as your new package manager!

Set the channel you'd rather use:

`rhumba::set_channels(c("conda-forge", "default"))`

Try installing something:

`rhumba::install("r-igraph")`

You might need to setup your `root_prefix` if you're running `R` and `rhumba` from a conda installation:

`rhumba::set_config("root_prefix", "/path/to/prefix")`

It's already set if you're used `micromamba` to create your environment!

![rhumba demo screenshot](rhumba_demo_screenshot.png)

## Installation from source

### Requirements:

First make sure to have the following R packages:

- Rcpp

- Devtools

And the softwares:

- autoconf

- automake

- libtool

- nlohmann_json

- cpp-filesystem

- libmamba

These can be downloaded with mamba:

`mamba install -c conda-forge r-rcpp r-devtools nlohmann_json cpp-filesystem libtool libmamba`

On Windows, you also need to install the MinGW toolchain:

`mamba install -c msys2 m2w64-gcc m2w64-make m2w64-toolchain m2-libbz2 posix`

#### Windows, Mac and Linux:

Install packages:

```

install.packages("Rcpp")

install.packages("devtools")

```

### Setup:

Inside the R environment, first generate the bidinings required to call C++ functions from R functions adorned with `Rcpp::export`:

`Rcpp::compileAttributes()`

Then:

`devtools::install()`

And you're ready to use Rhumba!

## Testing

You can run `devtools::check()` inside your R environment as a sanity check. More information about this command's output [here](https://r-pkgs.org/r-cmd-check.html).

## License

We use a shared copyright model that enables all contributors to maintain the copyright on their contributions.

This software is licensed under the BSD-3-Clause license. See the LICENSE file for details.