poppy | Battle tested algorithms and data-structures

by navneethg Python Version: Current License: MIT

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

kandi X-RAY | poppy Summary

poppy is a Python library. poppy has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install poppy' or download it from GitHub, PyPI.

Battle tested algorithms and data-structures for your next space-mission or casual reading.

Support

Quality

Security

License

Reuse

Support

poppy has a low active ecosystem.

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

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of poppy is current.

Quality

poppy has no bugs reported.

Security

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

License

poppy 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

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

Deployable package is available in PyPI.

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

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poppy Key Features

No Key Features are available at this moment for poppy.

poppy Examples and Code Snippets

No Code Snippets are available at this moment for poppy.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install poppy

You can install using 'pip install poppy' or download it from GitHub, PyPI.
You can use poppy 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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