vvtermtime

R package to communicate with Semestry Termtime

https://github.com/vusaverse/vvtermtime

Science Score: 36.0%

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Keywords

r scheduling semestry termtime timetables
Last synced: 6 months ago · JSON representation

Repository

R package to communicate with Semestry Termtime

Basic Info
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  • Stars: 0
  • Watchers: 1
  • Forks: 1
  • Open Issues: 2
  • Releases: 1
Topics
r scheduling semestry termtime timetables
Created over 2 years ago · Last pushed 7 months ago
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README.md

vvtermtime

R-CMD-check CRAN status The diffify page for the R package vvtermtime CRAN last month downloads CRAN last month downloads

The goal of vvtermtime is to provide functionalities to interact with the Semestry Timetabling Software API. The Semestry Timetabling Software is used by universities and educational institutions in creating efficient and effective schedules for their academic activities.

vvtermtime allows you to leverage the capabilities of the Semestry Timetabling Software directly from your R workflow.

Getting Started:

Install the vvtermtime package from GitHub using the following command:

install.packages("devtools") devtools::install_github("vusaverse/vvtermtime")

Load the vvtermtime package in your R script:

library(vvtermtime)

Obtain your Semestry API key and base URL from the Semestry Timetabling Software provider at your institution.

Create a Semestry object using the authenticate() function. Replace yourapikey with your actual API key and https://api.semestry.com with the appropriate base URL:

semestry <- authenticate(base_url = "https://api.semestry.com", api_key = "your_api_key")

Now you are able to use the methods in this package. For example to retrieve the bookings for your institution, pass the semestry object to the get_roombookings() function, as shown below:

``` Bookings <- get_roombookings(semestry)

```

Please refer to the package documentation for more detailed information on how to use the vvtermtime package and its functions.

For more information about Semestry and their timetabling software, please visit their website: https://semestry.com/solutions/termtime/

Owner

  • Name: vusaverse
  • Login: vusaverse
  • Kind: organization
  • Location: Netherlands

The vusaverse is a collection of R packages in the scope of Student Analytics.

GitHub Events

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  • Issues event: 1
  • Issue comment event: 2
  • Push event: 14
  • Pull request review event: 5
  • Pull request review comment event: 4
  • Create event: 1
Last Year
  • Issues event: 1
  • Issue comment event: 2
  • Push event: 14
  • Pull request review event: 5
  • Pull request review comment event: 4
  • Create event: 1

Committers

Last synced: 8 months ago

All Time
  • Total Commits: 36
  • Total Committers: 2
  • Avg Commits per committer: 18.0
  • Development Distribution Score (DDS): 0.139
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Tomer Iwan i****r@h****m 31
Tomer Iwan t****n@v****l 5
Committer Domains (Top 20 + Academic)
vu.nl: 1

Issues and Pull Requests

Last synced: 7 months ago

All Time
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  • Total pull requests: 0
  • Average time to close issues: N/A
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  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
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Top Authors
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  • tin900 (1)
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Packages

  • Total packages: 1
  • Total downloads:
    • cran 196 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 2
  • Total maintainers: 1
cran.r-project.org: vvtermtime

Interface for 'Semestry TermTime' Services

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 196 Last month
Rankings
Forks count: 28.4%
Dependent packages count: 28.7%
Stargazers count: 34.9%
Dependent repos count: 35.1%
Average: 43.1%
Downloads: 88.6%
Maintainers (1)
Last synced: 6 months ago