pengu_track | Master thesis Alexander Winterl , tracking algorithms

by fabrylab Python Version: Current License: GPL-3.0

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

kandi X-RAY | pengu_track Summary

pengu_track is a Python library. pengu_track 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.

Master thesis Alexander Winterl, tracking algorithms for penguins and cells.

Support

Quality

Security

License

Reuse

Support

pengu_track has a low active ecosystem.

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

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of pengu_track is current.

Quality

pengu_track has no bugs reported.

Security

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

License

pengu_track 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

pengu_track 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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pengu_track Key Features

No Key Features are available at this moment for pengu_track.

pengu_track Examples and Code Snippets

No Code Snippets are available at this moment for pengu_track.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install pengu_track

You can download it from GitHub.
You can use pengu_track 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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