txradius | radius protocol processing module
kandi X-RAY | txradius Summary
kandi X-RAY | txradius Summary
txradius is a Python library. txradius has no bugs, it has no vulnerabilities, it has build file available, it has a Weak Copyleft License and it has low support. You can install using 'pip install txradius' or download it from GitHub, PyPI.
txradius is a radius protocol processing module based on twisted, which provides parsing and processing of the standard radius protocol, as well as protocol extension capabilities.
txradius is a radius protocol processing module based on twisted, which provides parsing and processing of the standard radius protocol, as well as protocol extension capabilities.
Support
Quality
Security
License
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Support
txradius has a low active ecosystem.
It has 12 star(s) with 8 fork(s). There are 2 watchers for this library.
It had no major release in the last 12 months.
There are 1 open issues and 0 have been closed. On average issues are closed in 1449 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of txradius is 1.0.7
Quality
txradius has no bugs reported.
Security
txradius has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
txradius is licensed under the LGPL-3.0 License. This license is Weak Copyleft.
Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.
Reuse
txradius 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 txradius and discovered the below as its top functions. This is intended to give you an instant insight into txradius implemented functionality, and help decide if they suit your requirements.
- Command line interface
- Get radius address attribute
- Generate the HMAP2 key
- Generate anasymetric start key
- Generate the master key
- Generate md5 hash of a given password hash
- Decode a packet
- Decode vendor attribute
- Reads a dictionary
- Parse an attribute definition
- File name
- Current line number
- Encrypt a password
- Create an authenticator
- Return a packet
- Generate a request packet
- Return a request packet
- Convert a key - value to a key64
- Generate two encryption keys
- Adds an attribute
- Verify a reply
- Hash a password
- Set h3c rate
- Calculate the rate for a given response
- Generate a challenge response based on the challenge
- Checks if an authentication response matches the expected response
Get all kandi verified functions for this library.
txradius Key Features
No Key Features are available at this moment for txradius.
txradius Examples and Code Snippets
No Code Snippets are available at this moment for txradius.
Community Discussions
No Community Discussions are available at this moment for txradius.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install txradius
You can install using 'pip install txradius' or download it from GitHub, PyPI.
You can use txradius 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 txradius 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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