neoTaxonomy | A python API to deal with NCBI taxonomy in a neo4j database

by bioinformatics-ptp Python Version: Current License: GPL-3.0

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

kandi X-RAY | neoTaxonomy Summary

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

A python API to deal with NCBI taxonomy in a neo4j database

Support

Quality

Security

License

Reuse

Support

neoTaxonomy has a low active ecosystem.

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

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of neoTaxonomy is current.

Quality

neoTaxonomy has no bugs reported.

Security

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

License

neoTaxonomy is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

neoTaxonomy 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.

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neoTaxonomy Key Features

No Key Features are available at this moment for neoTaxonomy.

neoTaxonomy Examples and Code Snippets

No Code Snippets are available at this moment for neoTaxonomy.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install neoTaxonomy

You can download it from GitHub.
You can use neoTaxonomy 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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