Name | jupyter_resource_usage_proxy JSON |
Version |
0.1.2
JSON |
| download |
home_page | None |
Summary | A Jupyter Server Extension Proxying Resource Usage. |
upload_time | 2024-05-31 09:11:08 |
maintainer | None |
docs_url | None |
author | None |
requires_python | >=3.8 |
license | MIT License
Copyright (c) 2022 David Brochart
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE. |
keywords |
ipython
jupyter
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
# Jupyter Resource Usage Proxy
In one terminal/environment:
```console
pip install jupyverse-api
pip install fps-resource-usage
pip install fps-noauth
# launch a terminal server at http://127.0.0.1:8000
jupyverse --port=8000
```
In another terminal/environment:
```console
pip install jupyter_resource_usage
pip install jupyter_resource_usage_proxy
pip install jupyterlab
# launch JupyterLab at http://127.0.0.1:8888, deactivate the resource usage server extension, and proxy resource usage at http://127.0.0.1:8000
jupyter lab --port=8888 --ServerApp.jpserver_extensions="jupyter_resource_usage=False" --ResourceUsageProxyExtensionApp.proxy_url='http://127.0.0.1:8000'
```
Resource usage should now be served from http://127.0.0.1:8000.
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