ipython-cluster-helper | easily start up an IPython cluster

by roryk Python Version: 0.6.4 License: No License

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

kandi X-RAY | ipython-cluster-helper Summary

ipython-cluster-helper is a Python library. ipython-cluster-helper has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install ipython-cluster-helper' or download it from GitHub, PyPI.

Tool to easily start up an IPython cluster on different schedulers.

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Quality

Security

License

Reuse

Support

ipython-cluster-helper has a low active ecosystem.

It has 146 star(s) with 24 fork(s). There are 14 watchers for this library.

It had no major release in the last 12 months.

There are 8 open issues and 29 have been closed. On average issues are closed in 85 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ipython-cluster-helper is 0.6.4

Quality

ipython-cluster-helper has 0 bugs and 0 code smells.

Security

ipython-cluster-helper has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

ipython-cluster-helper code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ipython-cluster-helper 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

ipython-cluster-helper releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

ipython-cluster-helper saves you 597 person hours of effort in developing the same functionality from scratch.

It has 1392 lines of code, 84 functions and 8 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed ipython-cluster-helper and discovered the below as its top functions. This is intended to give you an instant insight into ipython-cluster-helper implemented functionality, and help decide if they suit your requirements.

Start the cluster
Get the scheduler resources
Finds the SGE environment for a given queue name
Returns a list of arguments for the given profile
Start bbspro
Return the environment export
Determine if the resource is noselect
Notify about the process
Check if the per core is per core
Apply fn to bparams
Apply a function fn to a configuration file
Returns the conf file matching the given filename
Start the context
Prepare sge resource string
Get lsf units
A context manager that yields a cluster view
Start the application
Start the lsf engine
Determine if the per core is per core
Get lsf units
Start the engine
Start local cluster
Saves connection info to fname
Start the controller
Creates the base IPython notebooks
Get LLSF units from a stream
Get the per core reserve from the stream
Start the launcher

Get all kandi verified functions for this library.

ipython-cluster-helper Key Features

No Key Features are available at this moment for ipython-cluster-helper.

ipython-cluster-helper Examples and Code Snippets

No Code Snippets are available at this moment for ipython-cluster-helper.

Community Discussions

No Community Discussions are available at this moment for ipython-cluster-helper.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install ipython-cluster-helper

You can install using 'pip install ipython-cluster-helper' or download it from GitHub, PyPI.
You can use ipython-cluster-helper like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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