conda-forge / rstudio-feedstock

A conda-smithy repository for rstudio.

About rstudio-feedstock

Feedstock license: BSD-3-Clause

Home: https://www.rstudio.com/

Package license: AGPL-3.0-only

Summary: RStudio is an integrated development environment (IDE) for R

Development: https://github.com/rstudio/rstudio

Documentation: https://support.rstudio.com/hc/en-us/sections/200107586-Using-RStudio

RStudio is an integrated development environment (IDE) for R. It includes a console, syntax-highlighting editor that supports direct code execution, as well as tools for plotting, history, debugging and workspace management.

Current build status

Azure

Variant Status linux_64_nodejs18r_base4.2 linux_64_nodejs18r_base4.3 linux_64_nodejs20r_base4.2 linux_64_nodejs20r_base4.3 osx_64_nodejs18r_base4.2 osx_64_nodejs18r_base4.3 osx_64_nodejs20r_base4.2 osx_64_nodejs20r_base4.3

Current release info

Name	Downloads	Version	Platforms

Installing rstudio

Installing rstudio from the conda-forge channel can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge
conda config --set channel_priority strict

Once the conda-forge channel has been enabled, rstudio-desktop can be installed with conda:

conda install rstudio-desktop

or with mamba:

mamba install rstudio-desktop

It is possible to list all of the versions of rstudio-desktop available on your platform with conda:

conda search rstudio-desktop --channel conda-forge

or with mamba:

mamba search rstudio-desktop --channel conda-forge

Alternatively, mamba repoquery may provide more information:

# Search all versions available on your platform:
mamba repoquery search rstudio-desktop --channel conda-forge

# List packages depending on `rstudio-desktop`:
mamba repoquery whoneeds rstudio-desktop --channel conda-forge

# List dependencies of `rstudio-desktop`:
mamba repoquery depends rstudio-desktop --channel conda-forge

About conda-forge

conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a feedstock.

A feedstock is made up of a conda recipe (the instructions on what and how to build the package) and the necessary configurations for automatic building using freely available continuous integration services. Thanks to the awesome service provided by Azure, GitHub, CircleCI, AppVeyor, Drone, and TravisCI it is possible to build and upload installable packages to the conda-forge Anaconda-Cloud channel for Linux, Windows and OSX respectively.

To manage the continuous integration and simplify feedstock maintenance conda-smithy has been developed. Using the conda-forge.yml within this repository, it is possible to re-render all of this feedstock's supporting files (e.g. the CI configuration files) with conda smithy rerender.

For more information please check the conda-forge documentation.

Terminology

feedstock - the conda recipe (raw material), supporting scripts and CI configuration.

conda-smithy - the tool which helps orchestrate the feedstock. Its primary use is in the construction of the CI .yml files and simplify the management of many feedstocks.

conda-forge - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions)

Updating rstudio-feedstock

If you would like to improve the rstudio recipe or build a new package version, please fork this repository and submit a PR. Upon submission, your changes will be run on the appropriate platforms to give the reviewer an opportunity to confirm that the changes result in a successful build. Once merged, the recipe will be re-built and uploaded automatically to the conda-forge channel, whereupon the built conda packages will be available for everybody to install and use from the conda-forge channel. Note that all branches in the conda-forge/rstudio-feedstock are immediately built and any created packages are uploaded, so PRs should be based on branches in forks and branches in the main repository should only be used to build distinct package versions.

In order to produce a uniquely identifiable distribution:

• If the version of a package is not being increased, please add or increase the build/number.
• If the version of a package is being increased, please remember to return the build/number back to 0.

Feedstock Maintainers

• @h-vetinari
• @izahn

rstudio-feedstock's Issues

Remove version caps / pins

Currently we have:

• nodejs 14
• mathjax <3.0
• yaml-cpp <0.7

rstudio-desktop downgrading to gcc9 despite build being with 10?

Comment:

Trying to integrate rstudio-desktop into my existing R environment I find it wants to make a lot of changes:

  Downgrade:                                                                                             
─────────────────────────────────────────────────────────────────────────────────────────────
                                                                                                         
  gcc_impl_linux-64             10.3.0  hf2f2afa_16         installed                      
  gcc_impl_linux-64              9.4.0  h03d3576_16         conda-forge/linux-64      43 MB
  gcc_linux-64                  10.3.0  hc39de41_9          installed                      
  gcc_linux-64                   9.4.0  h391b98a_9          conda-forge/linux-64      25 KB
  gfortran_impl_linux-64        10.3.0  h73f4979_16         installed                      
  gfortran_impl_linux-64         9.4.0  h0003116_16         conda-forge/linux-64      15 MB
  gfortran_linux-64             10.3.0  hb09a455_9          installed                      
  gfortran_linux-64              9.4.0  hf0ab688_9          conda-forge/linux-64      24 KB
  graphviz                       3.0.0  h5abf519_1          installed                      
  graphviz                      2.50.0  h85b4f2f_1          conda-forge/linux-64       3 MB
  gxx_impl_linux-64             10.3.0  hf2f2afa_16         installed                      
  gxx_impl_linux-64              9.4.0  h03d3576_16         conda-forge/linux-64      11 MB
  gxx_linux-64                  10.3.0  h2593f52_9          installed                      
  gxx_linux-64                   9.4.0  h0316aca_9          conda-forge/linux-64      24 KB
  harfbuzz                       4.2.1  hf9f4e7c_0          installed                      
  harfbuzz                       3.4.0  hb4a5f5f_0          conda-forge/linux-64       2 MB
  icu                             70.1  h27087fc_0          installed                      
  icu                             69.1  h9c3ff4c_0          conda-forge/linux-64     Cached
  imagemagick                 7.1.0_34  pl5321heb7c40d_0    installed                      
  imagemagick                 7.1.0_27  pl5321hae5efcc_0    conda-forge/linux-64       3 MB
  libgcc-devel_linux-64         10.3.0  he6cfe16_16         installed                      
  libgcc-devel_linux-64          9.4.0  hd854feb_16         conda-forge/linux-64       4 MB
  librsvg                       2.54.3  h7abd40a_0          installed                      
  librsvg                       2.52.5  hc3c00ef_1          conda-forge/linux-64       5 MB
  libsanitizer                  10.3.0  h26c7422_16         installed                      
  libsanitizer                   9.4.0  h79bfe98_16         conda-forge/linux-64       7 MB
  libstdcxx-devel_linux-64      10.3.0  he6cfe16_16         installed                      
  libstdcxx-devel_linux-64       9.4.0  hd854feb_16         conda-forge/linux-64      10 MB
  libxml2                       2.9.14  h22db469_0          installed                      
  libxml2                       2.9.12  h885dcf4_1          conda-forge/linux-64     Cached
  openssl                        3.0.3  h166bdaf_0          installed                      
  openssl                       1.1.1o  h166bdaf_0          conda-forge/linux-64       2 MB
  pango                         1.50.7  hbd2fdc8_0          installed                      
  pango                        1.48.10  h4dcc4a0_3          conda-forge/linux-64     399 KB
  r-base                         4.1.3  h06d3f91_1          installed                      
  r-base                         4.1.2  hde4fec0_0          conda-forge/linux-64      25 MB
  xorg-libx11                    1.7.2  h7f98852_0          installed                      
  xorg-libx11                   1.6.12  h36c2ea0_0          conda-forge/linux-64     919 KB

I'm surprised its built against older versions despite being brand new? This also seems to conflict with how its built here:
https://github.com/conda-forge/rstudio-feedstock/blob/main/.ci_support/linux_64_r_base4.1.yaml#L13-L14

Request for newer Rstudio build for win-64

Comment:

Hello,

As per an issue filed here: conda-forge/r-sjplot-feedstock#21 (comment) I would like to request a newer RStudio build for win-64. When trying a workaround whereby I connect my desktop RStudio to a conda environment that only contains the "r-sjplot" install I got a dll error on win-64 (also didn't work on centos 7.6 where Rstudio started but didn't load any of the GUI element other than the menus on top). I think it would be important to have an RStudio that works with the sjplot feedstock out of the box.

Updated version

Comment:

The current version is ~1 year behind, so it would be great to have it updated. Looking at the pipeline checks, most of them fail, and it seems to be due to BUILD NOT FOUND on Azure. Not having looked a these pipelines, I'm not sure what that means though...