open-rcv | tallying ranked-choice voting elections like IRV

by cjerdonek Python Version: Current License: MIT

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

kandi X-RAY | open-rcv Summary

open-rcv is a Python library. open-rcv 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 open-rcv' or download it from GitHub, PyPI.

[Read the Docs Status] OpenRCV is an open source software project for tallying ranked-choice voting elections like [instant runoff voting][IRV] and the [single transferable vote][STV]. It also supports auditing, reporting, and ballot file conversion. It can be used both as a command-line tool or as a Python library. OpenRCV is distributed for free on [PyPI][openrcv_pypi]. The project page and source code are on [GitHub][openrcv_github]. Project documentation is hosted on [Read the Docs][openrcv_docs]. It is licensed under a permissive open source license. See the [License] #license) section for license details. To report a bug or request a feature, visit the [issue tracker][openrcv_issues]. You can also contact the author listed [below] #author).

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Quality

Security

License

Reuse

Support

open-rcv has a low active ecosystem.

It has 20 star(s) with 5 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

open-rcv has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of open-rcv is current.

Quality

open-rcv has 0 bugs and 0 code smells.

Security

open-rcv has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

open-rcv code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

open-rcv 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

open-rcv 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.

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

open-rcv saves you 1505 person hours of effort in developing the same functionality from scratch.

It has 3355 lines of code, 487 functions and 49 files.

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

Top functions reviewed by kandi - BETA

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

The main entry point
Create argument parser
Parse a log level name
Return the log level from args
Parse BLT lines
Parse a list of lines
Convert a vote value to an internal ball
Parse a list of line tuples
Create a temporary directory inside a given parent directory
Return the number of IRVs in the given contest
Save a model from a model
Open in - memory text stream
Deserialize from JSON
Count the number of testcases in a test suite
Write a contest to the given output directory
Temporarily replace the current resource
Process a directory
Add command line arguments
Normalize a competition file
Configure logging
Creates a random contest
Temporarily replace the resource
Return a model instance for the election
Count the winners of the submission
Update test inputs
A context manager for writing a sink

Get all kandi verified functions for this library.

open-rcv Key Features

No Key Features are available at this moment for open-rcv.

open-rcv Examples and Code Snippets

No Code Snippets are available at this moment for open-rcv.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install open-rcv

You can install using 'pip install open-rcv' or download it from GitHub, PyPI.
You can use open-rcv 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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