python-opencivicdata | python utilities for Open Civic Data
kandi X-RAY | python-opencivicdata Summary
kandi X-RAY | python-opencivicdata Summary
python-opencivicdata is a Python library. python-opencivicdata has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
[PyPI] Python utilities (including Django models) for implementing the Open Civic Data specification. The Organization, Person, Membership, Post, and VoteEvent models and related models are based on the [Popolo specification] To run tests on this project: ./run-tests.sh.
[PyPI] Python utilities (including Django models) for implementing the Open Civic Data specification. The Organization, Person, Membership, Post, and VoteEvent models and related models are based on the [Popolo specification] To run tests on this project: ./run-tests.sh.
Support
Quality
Security
License
Reuse
Support
python-opencivicdata has a low active ecosystem.
It has 28 star(s) with 25 fork(s). There are 7 watchers for this library.
It had no major release in the last 6 months.
There are 9 open issues and 49 have been closed. On average issues are closed in 186 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of python-opencivicdata is current.
Quality
python-opencivicdata has 0 bugs and 0 code smells.
Security
python-opencivicdata has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
python-opencivicdata code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
python-opencivicdata is licensed under the BSD-3-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
python-opencivicdata 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.
python-opencivicdata saves you 4170 person hours of effort in developing the same functionality from scratch.
It has 8870 lines of code, 180 functions and 85 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed python-opencivicdata and discovered the below as its top functions. This is intended to give you an instant insight into python-opencivicdata implemented functionality, and help decide if they suit your requirements.
- Load all divisions
- Load all of the divisions for a given country
- Get all children of this node
- Convert fd into a Division object
- Get all children of division
- Extract subtypes from an ID
- Returns a string of related entities
- Return an iterator over all Division objects
- Add an other name to the person
- Creates a Division by id
- Return links for an object
Get all kandi verified functions for this library.
python-opencivicdata Key Features
No Key Features are available at this moment for python-opencivicdata.
python-opencivicdata Examples and Code Snippets
No Code Snippets are available at this moment for python-opencivicdata.
Community Discussions
No Community Discussions are available at this moment for python-opencivicdata.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install python-opencivicdata
You can download it from GitHub.
You can use python-opencivicdata 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.
You can use python-opencivicdata 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:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page