Metadata-Version: 2.4
Name: python_pqc_lib
Version: 0.0.3
Summary: A python implementation of various PQC algorithms
Project-URL: Homepage, https://github.com/Xantus10/python-pqc-lib
Project-URL: Documentation, https://xantus10.github.io/python-pqc-lib/index.html
Author-email: Xantus10 <115876592+Xantus10@users.noreply.github.com>
License-Expression: MIT
License-File: LICENSE
Keywords: crypto,cryptography,ml dsa,ml kem,mldsa,mlkem,post quantum,pqc
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Security :: Cryptography
Requires-Python: >=3.13
Requires-Dist: numpy>=2.4.6
Description-Content-Type: text/markdown

# Python PQC library

This is a package containing my python implementations of Post Quantum Cryptography algorithms. In all cases I try to adhere to NIST standards or other official materials.

## Algorithms

Currently supports the following algorithms:

- Key encapsulation
    - `ML KEM` - [NIST FIPS 203](https://nvlpubs.nist.gov/nistpubs/fips/nist.fips.203.pdf)
- Digital signature
    - `ML DSA` - [NIST FIPS 204](https://nvlpubs.nist.gov/nistpubs/FIPS/NIST.FIPS.204.pdf)

## Dependencies

- numpy

## Security notice

While the solution is always tested to be functional and best effort was made to adhere to the NIST standards and specifications, I do not guarantee that the algorithm is secure.

Also, since this is an implementation written purely in python, while it can be used in smaller projects, production code should make use of something like the [PQC Code package](https://github.com/pq-code-package).

## TODO

- Basic documentation
- Remove duplicit ML code
- Test with [NIST ACVP](https://github.com/usnistgov/ACVP-Server/tree/master/gen-val/json-files)
- Add automated tests
- Implement SLH DSA
