docker_images | softwareQ tools Docker image

by softwareQinc Jupyter Notebook Version: Current License: MIT

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

kandi X-RAY | docker_images Summary

docker_images is a Jupyter Notebook library. docker_images has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Docker images for our tools.

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Quality

Security

License

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Support

docker_images has a low active ecosystem.

It has 3 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

docker_images has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of docker_images is current.

Quality

docker_images has no bugs reported.

Security

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

License

docker_images 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

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

Installation instructions, examples and code snippets are available.

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docker_images Key Features

No Key Features are available at this moment for docker_images.

docker_images Examples and Code Snippets

No Code Snippets are available at this moment for docker_images.

Community Discussions

No Community Discussions are available at this moment for docker_images.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install docker_images

Install Docker, run it, then type in a terminal/console. The output of the docker run command should be similar to. To access the notebook, open this file in a browser: file:///root/.local/share/jupyter/runtime/nbserver-1-open.html Or copy and paste one of these URLs: http://a16168cc7fdd:8888/?token=d9651cb8726cdc87b6093e43d7411d9a234cd43377a93019 or http://127.0.0.1:8888/?token=d9651cb8726cdc87b6093e43d7411d9a234cd43377a93019. To connect to the Jupyter environment, launch a browser at the hyperlink produced by docker run, which should be similar to the one marked in bold above (the token sequence will of course be different in your case). See the notebooks directory for Jupyter Notebook examples.

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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