dask-labextension | JupyterLab extension for Dask | Code Editor library

by dask Python Version: 7.0.0 License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | dask-labextension Summary

dask-labextension is a Python library typically used in Editor, Code Editor, Jupyter applications. dask-labextension 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 'npm i dask-labextension' or download it from GitHub, npm.

This package provides a JupyterLab extension to manage Dask clusters, as well as embed Dask's dashboard plots directly into JupyterLab panes.

Support

Quality

Security

License

Reuse

Support

dask-labextension has a low active ecosystem.

It has 285 star(s) with 55 fork(s). There are 17 watchers for this library.

There were 2 major release(s) in the last 12 months.

There are 42 open issues and 96 have been closed. On average issues are closed in 51 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of dask-labextension is 7.0.0

Quality

dask-labextension has 0 bugs and 0 code smells.

Security

dask-labextension has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

dask-labextension code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dask-labextension 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

dask-labextension releases are available to install and integrate.

Deployable package is available in npm.

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

Return a copy of the cmdclass
Build a ConfigParser from a root directory
Get the project root directory
Extract the version information
Create the versioneer config file
Close all clusters
Close a cluster
Install versioneer
Get a single plot
Normalize dashboard link
Get version information
Scans the setup py file and checks if it is missing
Get the keywords from the given versionfile

Get all kandi verified functions for this library.

dask-labextension Key Features

No Key Features are available at this moment for dask-labextension.

dask-labextension Examples and Code Snippets

No Code Snippets are available at this moment for dask-labextension.

Community Discussions

Trending Discussions on dask-labextension

Using the dask labextenstion to connect to a remote cluster

Monitor dask-xarray performance

QUESTION

Using the dask labextenstion to connect to a remote cluster

Asked 2020-Jun-27 at 16:03

I'm interested in running a Dask cluster on EMR and interacting with it from inside of a Jupyter Lab notebook running on a separate EC2 instance (e.g. an EC2 instance not within the cluster and not managed by EMR).

The Dask documentation points to dask-labextension as the tool of choice for this use case. dask-labextension relies on a YAML config file (and/or some environment vars) to understand how to talk to the cluster. However, as far as I can tell, this configuration can only be set to point to a local Dask cluster. In other words, you must be in a Jupyter Lab notebook running on an instance within the cluster (presumably on the master instance?) in order to use this extension.

Is my read correct? Is it not currently possible to use dask-labextension with an external Dask cluster?

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ANSWER

Answered 2020-Jun-27 at 16:03

Dask Labextension can talk to any Dask cluster that is visible from where your web client is running. If you can connect to a dashboard in a web browser then you can copy that same address to the Dask-Labextension search bar and it will connect.

Source https://stackoverflow.com/questions/62374666

QUESTION

Monitor dask-xarray performance

Asked 2020-Jun-13 at 15:59

I have the following basic code which (I thought) should set up xarray to use a LocalCluster.

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ANSWER

Answered 2020-Jun-13 at 15:59

When you create a Dask Client it automatically registers itself as the default way to run Dask computations.

You can check to see if an object is a Dask collection with the dask.is_dask_collection function. As you say, I believe that xr.open_mfdataset uses Dask by default, but this would be a good way to check.

As to why you're not seeing anything on the dashboard, I unfortunately don't know enough about your situation to be able to help you there.

Source https://stackoverflow.com/questions/62264346

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

Vulnerabilities

No vulnerabilities reported

Install dask-labextension

To install the Dask JupyterLab extension you will need to have JupyterLab installed. For JupyterLab < 3.0, you will also need Node.js version >= 12. These are available through a variety of sources. One source common to Python users is the conda package manager.
As described in the JupyterLab documentation for a development install of the labextension you can run the following in this directory:.

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 .

Find more information at: