scab | Single cell analysis of B cells

by briney Python Version: v0.1.0 License: MIT

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

kandi X-RAY | scab Summary

scab is a Python library. scab 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.

Single cell analysis of B cells. scab is a core component of the ab[x] toolkit for antibody sequence analysis.

Support

Quality

Security

License

Reuse

Support

scab has a low active ecosystem.

It has 4 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

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

It has a neutral sentiment in the developer community.

The latest version of scab is v0.1.0

Quality

scab has no bugs reported.

Security

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

License

scab 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

scab releases are available to install and integrate.

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

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

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scab Key Features

No Key Features are available at this moment for scab.

scab Examples and Code Snippets

No Code Snippets are available at this moment for scab.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install scab

You can download it from GitHub.
You can use scab 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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