NiftyPET | throughput Python platform for image reconstruction

by NiftyPET Python Version: 2.0.0 License: Apache-2.0

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

kandi X-RAY | NiftyPET Summary

NiftyPET is a Python library. NiftyPET 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 NiftyPET' or download it from GitHub, PyPI.

High-throughput Python platform for image reconstruction and analysis

Support

Quality

Security

License

Reuse

Support

NiftyPET has a low active ecosystem.

It has 17 star(s) with 5 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 2 have been closed. On average issues are closed in 383 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of NiftyPET is 2.0.0

Quality

NiftyPET has no bugs reported.

Security

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

License

NiftyPET 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

NiftyPET 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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NiftyPET Key Features

No Key Features are available at this moment for NiftyPET.

NiftyPET Examples and Code Snippets

No Code Snippets are available at this moment for NiftyPET.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install NiftyPET

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