dicompyler | Extensible radiation therapy research platform and viewer | Messaging library

by bastula Python Version: release-0.4.2 License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | dicompyler Summary

dicompyler is a Python library typically used in Messaging applications. dicompyler has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Extensible radiation therapy research platform and viewer for DICOM and DICOM RT

Support

Quality

Security

License

Reuse

Support

dicompyler has a low active ecosystem.

It has 207 star(s) with 82 fork(s). There are 27 watchers for this library.

It had no major release in the last 12 months.

There are 61 open issues and 62 have been closed. On average issues are closed in 49 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of dicompyler is release-0.4.2

Quality

dicompyler has 0 bugs and 392 code smells.

Security

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

dicompyler code analysis shows 0 unresolved vulnerabilities.

There are 11 security hotspots that need review.

License

dicompyler does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

dicompyler releases are available to install and integrate.

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

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

dicompyler saves you 2438 person hours of effort in developing the same functionality from scratch.

It has 5311 lines of code, 416 functions and 22 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed dicompyler and discovered the below as its top functions. This is intended to give you an instant insight into dicompyler implemented functionality, and help decide if they suit your requirements.

Add a patient data tree
Enables the selection for a patient
Updates the plot
Create the plot
Paint event handler
Return line drawing style
Draws a structure
Draw the isodose line
Use setuptools
Download Setuptools Distribution
Event handler for update plugins
Event handler for update
Event handler for a structure check
Event handler for StructureUncheck
Event handler for loading trees
Setup dialog for plugin menu
Create the main menu
Download setuptools package
Initialize the widget
Load the patient data
Anonymize a data thread
Initializes the widget
Called when a page is printed
Initializes the constraints
Loads the patient data
Calculates the volume of a structure
Initialize this widget

Get all kandi verified functions for this library.

dicompyler Key Features

No Key Features are available at this moment for dicompyler.

dicompyler Examples and Code Snippets

No Code Snippets are available at this moment for dicompyler.

Community Discussions

Trending Discussions on dicompyler

Install dicompyler for python using conda or pip

QUESTION

Install dicompyler for python using conda or pip

Asked 2018-Feb-23 at 03:55

I am trying to install dicompyler to read DICOM-RT plan files through conda, but getting a 'PackageNotFoundError'.

The package is on Github at https://github.com/dicompyler/dicompyler-core. When downloading and install the tar using

...

ANSWER

Answered 2018-Feb-23 at 03:44

I just tried to install the packages from the github, and it seems succeeded. Below is my step:

1:Clone the code:

Source https://stackoverflow.com/questions/48940601

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

Vulnerabilities

No vulnerabilities reported

Install dicompyler

You can download it from GitHub.
You can use dicompyler 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 .

Find more information at: