dlab | Apache DLab alpha

by mediapills Python Version: Current License: Apache-2.0

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

kandi X-RAY | dlab Summary

dlab is a Python library. dlab has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Self-service, Fail-safe Exploratory Environment for Collaborative Data Science Workflow.

Support

Quality

Security

License

Reuse

Support

dlab has a low active ecosystem.

It has 0 star(s) with 4 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 33 open issues and 17 have been closed. On average issues are closed in 24 days. There are 10 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of dlab is current.

Quality

dlab has no bugs reported.

Security

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

License

dlab is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

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

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

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dlab Key Features

No Key Features are available at this moment for dlab.

dlab Examples and Code Snippets

No Code Snippets are available at this moment for dlab.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install dlab

You can download it from GitHub.
You can use dlab 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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