systemdspawner | Spawn JupyterHub single-user notebook servers with systemd | Code Editor library

by jupyterhub Python Version: v1.0.0 License: BSD-3-Clause

X-Ray Key Features Code Snippets(3)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | systemdspawner Summary

systemdspawner is a Python library typically used in Editor, Code Editor, Jupyter applications. systemdspawner has no bugs, it has build file available, it has a Permissive License and it has low support. However systemdspawner has 1 vulnerabilities. You can install using 'pip install systemdspawner' or download it from GitHub, PyPI.

The systemdspawner enables JupyterHub to spawn single-user notebook servers using systemd.

Support

Quality

Security

License

Reuse

Support

systemdspawner has a low active ecosystem.

It has 88 star(s) with 47 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 20 open issues and 49 have been closed. On average issues are closed in 664 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of systemdspawner is v1.0.0

Quality

systemdspawner has no bugs reported.

Security

systemdspawner has 1 vulnerability issues reported (0 critical, 1 high, 0 medium, 0 low).

License

systemdspawner is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Deployable package is available in PyPI.

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

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Start the user server
Expand the user variables
Check if the service is running
Start a transient service
Ensures that the given environment exists
Make an environment file

Get all kandi verified functions for this library.

systemdspawner Key Features

No Key Features are available at this moment for systemdspawner.

systemdspawner Examples and Code Snippets

systemdspawner,Requirements,Systemd

Python

Lines of Code : 2

License : Permissive (BSD-3-Clause)

Copy

$ systemctl --version | head -1
systemd 231

systemdspawner,Installation

Python

Lines of Code : 2

License : Permissive (BSD-3-Clause)

Copy

pip install jupyterhub-systemdspawner

c.JupyterHub.spawner_class = 'systemdspawner.SystemdSpawner'

systemdspawner,Configuration,mem_limit

Python

Lines of Code : 1

License : Permissive (BSD-3-Clause)

Copy

c.SystemdSpawner.mem_limit = '4G'

Community Discussions

Trending Discussions on systemdspawner

JupyterHub singleuser not able to use tensorflow gpu support using systemdspawner

QUESTION

JupyterHub singleuser not able to use tensorflow gpu support using systemdspawner

Asked 2020-Feb-15 at 17:24

(this is a crossposting to SO, the jupyterhub issue tracker and the jupyterhub/systemdspawner issue tracker)

I have a private JupyterHub Setup using a SystemdSpawner where I try to run tensorflow with gpu support.

I followed the tensorflow instructions and alternatively tried a already provisioned AWS AMI (Deep Learning Base AMI (Ubuntu 18.04) Version 21.0) with NDVIDIA, both on AWS EC2 g4 instances.

On both setups I'm able to use tensorflow with gpu support in an (i)python 3.6 shell

...

ANSWER

Answered 2020-Feb-15 at 17:24

Set c.SystemdSpawner.isolate_devices = False in your jupyterhub_config.py.

Here is an excerpt from the documentation:

Setting this to true provides a separate, private /dev for each user. This prevents the user from directly accessing hardware devices, which could be a potential source of security issues. /dev/null, /dev/zero, /dev/random and the ttyp pseudo-devices will be mounted already, so most users should see no change when this is enabled.

Source https://stackoverflow.com/questions/60187732

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

Vulnerabilities

No vulnerabilities reported

Install systemdspawner

You can install it from PyPI with:. You can enable it for your jupyterhub with the following lines in your jupyterhub_config.py file. Note that to confirm systemdspawner has been installed in the correct jupyterhub environment, a newly generated config file should list systemdspawner as one of the available spawner classes in the comments above the configuration line.