jupyter-resource-usage | Jupyter Notebook Extension for monitoring your own Resource | Monitoring library

 by   jupyter-server TypeScript Version: 1.0.2 License: BSD-2-Clause

kandi X-RAY | jupyter-resource-usage Summary

kandi X-RAY | jupyter-resource-usage Summary

jupyter-resource-usage is a TypeScript library typically used in Performance Management, Monitoring, Jupyter applications. jupyter-resource-usage has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Installation | Configuration | Resources Displayed | Contributing.
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            kandi-support Support

              jupyter-resource-usage has a low active ecosystem.
              It has 364 star(s) with 90 fork(s). There are 7 watchers for this library.
              There were 1 major release(s) in the last 12 months.
              There are 36 open issues and 38 have been closed. On average issues are closed in 127 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of jupyter-resource-usage is 1.0.2

            kandi-Quality Quality

              jupyter-resource-usage has 0 bugs and 0 code smells.

            kandi-Security Security

              jupyter-resource-usage has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              jupyter-resource-usage code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              jupyter-resource-usage is licensed under the BSD-2-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              jupyter-resource-usage releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.
              jupyter-resource-usage saves you 168 person hours of effort in developing the same functionality from scratch.
              It has 393 lines of code, 24 functions and 15 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed jupyter-resource-usage and discovered the below as its top functions. This is intended to give you an instant insight into jupyter-resource-usage implemented functionality, and help decide if they suit your requirements.
            • Get the metric for a given metric
            • Get the metric value for a given process
            Get all kandi verified functions for this library.

            jupyter-resource-usage Key Features

            No Key Features are available at this moment for jupyter-resource-usage.

            jupyter-resource-usage Examples and Code Snippets

            No Code Snippets are available at this moment for jupyter-resource-usage.

            Community Discussions

            Trending Discussions on jupyter-resource-usage

            QUESTION

            Can't install any jupyterlab extensions in docker image
            Asked 2021-May-19 at 14:06

            I am running docker build task in Azure pipelines on a pipeline agent that runs on an on-prem host. I am trying to "RUN jupyter labextension install @jupyter-widgets/jupyterlab-manager".

            In the base image: node=14.14.0 jupyter=1.0.0 jupyter-packaging = 0.7.12 jupyter-resource-usage= 0.5.1 jupyter_client = 6.1.7 jupyter_console = 6.2.0 jupyter_core = 4.7.0 jupyter_server = 1.6.1 jupyter_telemetry = 0.1.0 jupyterhub = 1.3.0 jupyterhub-base = 1.3.0 jupyterlab = 3.0.12 jupyterlab-git = 0.30.0b2 jupyterlab-templates = 0.2.5 jupyterlab_code_formatter=1.4.5 jupyterlab_pygments = 0.1.2 jupyterlab_server = 2.3.0

            Dockerfile looks like this:

            ...

            ANSWER

            Answered 2021-May-19 at 08:01

            Have you verified that you're installing the right package? Always double-check the package name on different websites is always a good practice. Package managers in docker images sometimes have no package list, for example apt in ubuntu. You need to do something like npm update, but I don't know much about npm, so google it first. I also found this by googling the error.

            Source https://stackoverflow.com/questions/67599080

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

            Vulnerabilities

            No vulnerabilities reported

            Install jupyter-resource-usage

            You can currently install this package from PyPI. If your notebook version is < 5.3, you need to enable the extension manually.

            Support

            If you would like to contribute to the project, please read the CONTRIBUTING.md. The CONTRIBUTING.md file explains how to set up a development installation and how to run the test suite.
            Find more information at:

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            Install
          • PyPI

            pip install jupyter-resource-usage

          • CLONE
          • HTTPS

            https://github.com/jupyter-server/jupyter-resource-usage.git

          • CLI

            gh repo clone jupyter-server/jupyter-resource-usage

          • sshUrl

            git@github.com:jupyter-server/jupyter-resource-usage.git

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