pyffx | pure Python format preserving encryption | Encryption library

by emulbreh Python Version: 0.3.0 License: MIT

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

kandi X-RAY | pyffx Summary

pyffx is a Python library typically used in Security, Encryption applications. pyffx 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 pyffx' or download it from GitHub, PyPI.

pure Python format preserving encryption

Support

Quality

Security

License

Reuse

Support

pyffx has a low active ecosystem.

It has 39 star(s) with 13 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 8 have been closed. On average issues are closed in 74 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pyffx is 0.3.0

Quality

pyffx has 0 bugs and 0 code smells.

Security

pyffx has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pyffx code analysis shows 0 unresolved vulnerabilities.

There are 2 security hotspots that need review.

License

pyffx 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

pyffx 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.

pyffx saves you 53 person hours of effort in developing the same functionality from scratch.

It has 139 lines of code, 23 functions and 5 files.

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

Top functions reviewed by kandi - BETA

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

Encrypt a vector
Yields the hash of the given string
Split v into two parts
Add two vectors
Decrypt and decrypt a given value
Subtract a

Get all kandi verified functions for this library.

pyffx Key Features

No Key Features are available at this moment for pyffx.

pyffx Examples and Code Snippets

No Code Snippets are available at this moment for pyffx.

Community Discussions

Trending Discussions on pyffx

Why apply function did not work on pandas dataframe

QUESTION

Why apply function did not work on pandas dataframe

Asked 2021-Feb-25 at 13:23

ct_data['IM NO'] = ct_data['IM NO'].apply(lambda x: pyffx.Integer(b'dkrya@Jppl1994', length=20).encrypt(int(x)))

...

ANSWER

Answered 2021-Feb-25 at 13:23

This should be a comment but it contains formatted data.

It is probably a mere display problem. With the initial sample of you dataframe, I have executed your command and printed its returned values:

Source https://stackoverflow.com/questions/66367653

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

Vulnerabilities

No vulnerabilities reported

Install pyffx

You can install using 'pip install pyffx' or download it from GitHub, PyPI.
You can use pyffx 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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