miracle | Repeatable data analysis workflows for computational models

by comses Python Version: v0.2-alpha License: No License

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

kandi X-RAY | miracle Summary

miracle is a Python library. miracle has no bugs, it has no vulnerabilities and it has low support. However miracle build file is not available. You can download it from GitHub.

Repeatable data analysis workflows for computational models

Support

Quality

Security

License

Reuse

Support

miracle has a low active ecosystem.

It has 0 star(s) with 3 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 19 open issues and 38 have been closed. On average issues are closed in 78 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of miracle is v0.2-alpha

Quality

miracle has no bugs reported.

Security

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

License

miracle 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

miracle releases are available to install and integrate.

miracle has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

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miracle Key Features

No Key Features are available at this moment for miracle.

miracle Examples and Code Snippets

No Code Snippets are available at this moment for miracle.

Community Discussions

No Community Discussions are available at this moment for miracle.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install miracle

We use docker compose to organize MIRACLE's components. These consist of Docker images for the following:.
Container for a Django uWSGI application server and Celery running under supervisord. We are aware that Docker best practices call for one process per container, but in the interests of expediency and limited development resources we've bundled Django and celery together for the interim. If you'd like to help split them out, please send us a PR!
One container for an nginx reverse proxy
Container for a modified version of the Radiant business analytics Shiny app
Container for DeployR that provides our R script execution environment

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 .

Find more information at: