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ipc

ipc: An R Package for Inter-process Communication - Published in JOSS (2018)

https://github.com/fellstat/ipc

Science Score: 93.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 1 DOI reference(s) in JOSS metadata
  • ○
    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ✓
    JOSS paper metadata
    Published in Journal of Open Source Software
Last synced: 6 months ago · JSON representation

Repository

Tools for message passing between processes

Basic Info
  • Host: GitHub
  • Owner: fellstat
  • License: other
  • Language: R
  • Default Branch: master
  • Homepage:
  • Size: 136 KB
Statistics
  • Stars: 56
  • Watchers: 3
  • Forks: 2
  • Open Issues: 3
  • Releases: 5
Created over 7 years ago · Last pushed about 3 years ago
Metadata Files
Readme License

README.md

The ipc Package

Asynchronous processing is critical for performing a wide array of tasks, from high performance computing to web services. Communication between these disparate asynchronous processes is often required. Currently the statistical computing language R provides no built in features to handle interprocess communication between R processes while they are performing computations. Several packages have been written to handle the passing of text or binary data between processes (e.g. txtq, liteq, and zmq). ipc allows you to easily pass R objects between processes along with an associated signal, and have handler functions automatically execute them in the receiving process.

There is particular focus on supporting asynchronous evaluation in Shiny applications. Examples are included in the package showing how to perform useful tasks such as:

  • Updating reactive values from within future
  • Progress bars for long running async tasks
  • Interrupting async tasks based on user input.

Installation

To install the latest version from CRAN run: install.packages("ipc") To install the latest development version from the github repo run: ```

If devtools is not installed:

install.packages("devtools")

devtools::install_github("fellstat/ipc") ```

Resources

To run an example application locally use: library(ipc) shinyExample()

Development

Development Practices and Policies for Contributers

Owner

  • Name: Fellows Statistics
  • Login: fellstat
  • Kind: organization
  • Email: info@fellstat.com
  • Location: San Diego

A Statistical and Machine Learning Company

JOSS Publication

ipc: An R Package for Inter-process Communication
Published
November 06, 2018
DOI
Volume 3, Issue 31, Page 988
Authors
Ian E. Fellows ORCID
Fellows Statistics, http://www.fellstat.com
Editor
Yo Yehudi ORCID
Tags
High Performance Computing Interactive Visualization
View PDF Review Thread Software Archive

GitHub Events

Total
  • Issues event: 1
  • Watch event: 3
  • Issue comment event: 5
Last Year
  • Issues event: 1
  • Watch event: 3
  • Issue comment event: 5

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 68
  • Total Committers: 4
  • Avg Commits per committer: 17.0
  • Development Distribution Score (DDS): 0.338
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
ifellows i****n@f****m 45
ian fellows i****s@i****l 16
ifellows i****s@a****t 6
Henrik Bengtsson hb@a****g 1
Committer Domains (Top 20 + Academic)
aroma-project.org: 1 athena.attlocal.net: 1 fellstat.com: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 23
  • Total pull requests: 5
  • Average time to close issues: 5 months
  • Average time to close pull requests: 7 months
  • Total issue authors: 14
  • Total pull request authors: 3
  • Average comments per issue: 2.83
  • Average comments per pull request: 1.8
  • Merged pull requests: 4
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 3
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 3
  • Pull request authors: 0
  • Average comments per issue: 2.33
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • JohnCoene (6)
  • otoomet (2)
  • HenrikBengtsson (2)
  • mschubert (2)
  • karchjd (2)
  • dcaud (1)
  • rpodcast (1)
  • x1o (1)
  • pata-eth (1)
  • xwanner (1)
  • schloerke (1)
  • trafficonese (1)
  • ismirsehregal (1)
  • mattantaliss (1)
Pull Request Authors
  • ifellows (3)
  • HenrikBengtsson (1)
  • otoomet (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 457 last-month
  • Total docker downloads: 16
  • Total dependent packages: 1
  • Total dependent repositories: 5
  • Total versions: 5
  • Total maintainers: 1
cran.r-project.org: ipc

Tools for Message Passing Between Processes

  • Versions: 5
  • Dependent Packages: 1
  • Dependent Repositories: 5
  • Downloads: 457 Last month
  • Docker Downloads: 16
Rankings
Stargazers count: 6.5%
Dependent repos count: 13.1%
Average: 15.0%
Forks count: 17.1%
Dependent packages count: 18.2%
Downloads: 20.4%
Maintainers (1)
ian@fellstat.com
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
  • R6 * imports
  • shiny * imports
  • txtq * imports
  • future * suggests
  • knitr * suggests
  • promises * suggests
  • redux * suggests
  • rmarkdown * suggests
  • testthat * suggests