shinybatch | R package to launch batch tasks in R and Shiny

by datastorm-open HTML Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | shinybatch Summary

shinybatch is a HTML library. shinybatch has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

The launcher retrieves all the tasks in a main directory and build a the table of their run_info. Based on this, it verifies that there are tasks with status that allow a run, e.g. all but those in ignore_status. Then, if the maximum number of simultaneously running tasks is not reached, it launches new tasks according to their priority, in batch mode with RScript command (and calling run_task()).

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Support

shinybatch has a low active ecosystem.

It has 19 star(s) with 0 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

shinybatch has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of shinybatch is current.

Quality

shinybatch has no bugs reported.

Security

shinybatch has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

shinybatch does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

shinybatch releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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shinybatch Key Features

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shinybatch Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install shinybatch

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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