flask-sentinel | OAuth2 Server bundled as a Flask extension | OAuth library

by pyeve Python Version: 0.0.8 License: Non-SPDX

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

kandi X-RAY | flask-sentinel Summary

flask-sentinel is a Python library typically used in Security, OAuth applications. flask-sentinel has no vulnerabilities, it has build file available and it has low support. However flask-sentinel has 8 bugs and it has a Non-SPDX License. You can install using 'pip install flask-sentinel' or download it from GitHub, PyPI.

OAuth2 Server bundled as a Flask extension

Support

Quality

Security

License

Reuse

Support

flask-sentinel has a low active ecosystem.

It has 154 star(s) with 44 fork(s). There are 7 watchers for this library.

It had no major release in the last 12 months.

There are 11 open issues and 17 have been closed. On average issues are closed in 58 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of flask-sentinel is 0.0.8

Quality

flask-sentinel has 8 bugs (0 blocker, 0 critical, 6 major, 2 minor) and 4 code smells.

Security

flask-sentinel has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

flask-sentinel code analysis shows 0 unresolved vulnerabilities.

There are 2 security hotspots that need review.

License

flask-sentinel has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

flask-sentinel 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.

flask-sentinel saves you 259 person hours of effort in developing the same functionality from scratch.

It has 629 lines of code, 81 functions and 14 files.

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

Top functions reviewed by kandi - BETA

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

Show list of users
Generate a new client
Save a user to the database
Get all clients
Return a list of users
Store a new access token
Return a JSON representation of an object
Return a list of properties of an object
Decorator to require that a user has been provided
Authenticate the user
Checks the given username and password
Returns the URL rule for the given key
Return the value for the given key
Generate key for given key
Get a token from the database
Create an object from a JSON object

Get all kandi verified functions for this library.

flask-sentinel Key Features

No Key Features are available at this moment for flask-sentinel.

flask-sentinel Examples and Code Snippets

No Code Snippets are available at this moment for flask-sentinel.

Community Discussions

Trending Discussions on flask-sentinel

setuptools is on v3.3 inside Dockerfile but actually is on v20.7.0

QUESTION

setuptools is on v3.3 inside Dockerfile but actually is on v20.7.0

Asked 2018-Apr-13 at 11:15

I'm running the following commands inside Ubuntu 16.04:

...

ANSWER

Answered 2018-Apr-13 at 11:15

I am assuming that you must have been checking setup tools on your host-machine, that says (20.7.0) ,
however it should have been upgraded inside Docker-Image. (Inside your docker images as you said it is : 3.3.

Try replacing your instructions with this one or may be anything that is more suitable.

Source https://stackoverflow.com/questions/49805961

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

Vulnerabilities

No vulnerabilities reported

Install flask-sentinel

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