python-overpy | Python Wrapper to access the Overpass API | REST library

by DinoTools Python Version: Current License: MIT

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

kandi X-RAY | python-overpy Summary

python-overpy is a Python library typically used in Web Services, REST applications. python-overpy 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 python-overpy' or download it from GitHub, PyPI.

Python Wrapper to access the Overpass API

Support

Quality

Security

License

Reuse

Support

python-overpy has a low active ecosystem.

It has 158 star(s) with 49 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 15 open issues and 20 have been closed. On average issues are closed in 216 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of python-overpy is current.

Quality

python-overpy has 0 bugs and 0 code smells.

Security

python-overpy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

python-overpy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

python-overpy 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

python-overpy 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.

Top functions reviewed by kandi - BETA

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

Perform an HTTP query
Create a Result instance from a dictionary
Raise an exception
Parse a JSON response
Get a single node
Return the list of nodes that match the given node_id
Gets the elements of the specified filter
Expand the result from another result
Get street coordinates
Send a query to the API
Create a relation from a dictionary
Extracts the center from the JSON response
Construct a Relation object from an XML element
Get the center and lon of a way center
Handle closing node
Handle opening node element
Handle closing area element
List of nodes
Handle closing relation
Handle closing way element
Create a new Way instance from JSON data
Handle a start member event
Get intersection between two streets
Create a new RelationMember object from a dictionary
Creates a RelationMember object from the given child element
Creates a Way instance from a child element

Get all kandi verified functions for this library.

python-overpy Key Features

No Key Features are available at this moment for python-overpy.

python-overpy Examples and Code Snippets

No Code Snippets are available at this moment for python-overpy.

Community Discussions

Trending Discussions on python-overpy

Overpy returning attribute error upon import

QUESTION

Overpy returning attribute error upon import

Asked 2020-Jan-08 at 20:51

I've been testing some code utilizing overpy before christmas and now it's giving me an attribute error. Is anyone else having this issue? Or is my console corrupted?

Code:

...

ANSWER

Answered 2020-Jan-08 at 20:51

Downloaded Python natively and ran with Pycharm and it worked, may be an issue with my anaconda.

Thanks

Source https://stackoverflow.com/questions/59652047

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

Vulnerabilities

No vulnerabilities reported

Install python-overpy

You can install using 'pip install python-overpy' or download it from GitHub, PyPI.
You can use python-overpy 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: