nbtop | IPython Notebook server monitor inspired by htop | Monitoring library

by iiSeymour Python Version: 0.6.0 License: MIT

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

kandi X-RAY | nbtop Summary

nbtop is a Python library typically used in Performance Management, Monitoring, Jupyter, Prometheus applications. nbtop has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install nbtop' or download it from GitHub, PyPI.

IPython Notebook server monitor inspired by htop.

Support

Quality

Security

License

Reuse

Support

nbtop has a low active ecosystem.

It has 50 star(s) with 5 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 10 have been closed. On average issues are closed in 4 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of nbtop is 0.6.0

Quality

nbtop has 0 bugs and 0 code smells.

Security

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

nbtop code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

nbtop is licensed under the MIT License. This license is Permissive.

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

Reuse

nbtop releases are available to install and integrate.

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.

It has 273 lines of code, 13 functions and 4 files.

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

Top functions reviewed by kandi - BETA

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

Start curses CLI
Get session state
Generate a notebook name
Display process state
Return kernel name
Shut down a kernel
Simple CLI for running notebooks
Returns the total percentage of the process stats
Return a human readable human readable string
Shutdown a notebook

Get all kandi verified functions for this library.

nbtop Key Features

No Key Features are available at this moment for nbtop.

nbtop Examples and Code Snippets

usage

Python

Lines of Code : 13

License : Permissive (MIT)

Copy

$ nbtop --help
usage: nbtop [-h] [-e] [-k] [-a] [-l] [-p] [--shutdown-all] -u URL [-v]

optional arguments:
  -h, --help         show this help message and exit
  -e, --extension    strip notebook extensions
  -k, --insecure     no verification of SS

Community Discussions

Trending Discussions on nbtop

AJAX call from on-click fails

QUESTION

AJAX call from on-click fails

Asked 2018-Aug-17 at 23:55

I have a bizarre error where ajax call in a on('click') listener executed from an external trigger('click') call will fail, but execute correctly if the on('click') listener is called via a regular user mouse-click.

HTML:

...

ANSWER

Answered 2018-Aug-17 at 23:55

the form element will default to GET as its action - if you are not using the form to submit your data, you can safely remove this tag.

It's likely being triggered by pressing the enter key - before you even get a chance to execute the JS.

In other words, change

Source https://stackoverflow.com/questions/51887868

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

Vulnerabilities

No vulnerabilities reported

Install nbtop

You can install using 'pip install nbtop' or download it from GitHub, PyPI.
You can use nbtop 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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