Metadata-Version: 2.4
Name: devicer.py
Version: 0.2.0
Summary: Open-Source Python Middleware for Digital Fingerprinting
Author: One anonymous contributor
Author-email: Samuel Roux <sam.roux.com@gmail.com>, Stephen Perso <stephenrperso@gmail.com>
Project-URL: Homepage, https://gatewaycorporate.org/
Project-URL: Repository, https://github.com/gatewaycorporate/fp-devicer-python.git
Project-URL: Issues, https://github.com/gatewaycorporate/fp-devicer-python/issues
Keywords: fingerprinting,identification,middleware,tracking
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Software Development :: Libraries
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: license.txt
Requires-Dist: py-tlsh>=4.7.2
Dynamic: license-file

# FP-Devicer
## Developed by Gateway Corporate Solutions LLC

FP-Devicer is a digital fingerprinting middleware library designed for ease of use and near-universal compatibility with servers.

Importing and using the library to compare fingerprints between users is as simple as collecting some user data and running the calculateConfidence function.
```python
from devicer.confidence import calculate_confidence

user1, user2 = {
  """Collected data goes here"""
}

const confidence = calculate_confidence(user1, user2)
```

The resulting confidence will range between 0 and 100, with 100 providing the highest confidence of the users being identical.
