Metadata-Version: 2.1
Name: concrete-ml
Version: 0.6.1
Summary: Concrete-ML is an open-source set of tools which aims to simplify the use of fully homomorphic encryption (FHE) for data scientists.
Home-page: https://zama.ai/concrete-ml/
License: BSD-3-Clause-Clear
Keywords: FHE,homomorphic encryption,privacy,security
Author: Zama
Author-email: hello@zama.ai
Requires-Python: >=3.7.1,<3.11
Classifier: License :: Other/Proprietary License
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 :: 3.10
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Security
Classifier: Topic :: Security :: Cryptography
Classifier: Topic :: Software Development :: Compilers
Requires-Dist: concrete-ml-extensions-brevitas (==0.1.0)
Requires-Dist: concrete-numpy (==0.9.0)
Requires-Dist: hummingbird-ml[onnx] (==0.4.4)
Requires-Dist: numpy (==1.21.6)
Requires-Dist: onnx (==1.12.0)
Requires-Dist: onnxoptimizer (==0.2.7)
Requires-Dist: protobuf (==3.19.4)
Requires-Dist: scikit-learn (==1.0.2)
Requires-Dist: scipy (==1.7.3)
Requires-Dist: setuptools (==65.6.3)
Requires-Dist: skorch (==0.11.0)
Requires-Dist: torch (==1.12.1)
Requires-Dist: typing-extensions (==4.4.0)
Requires-Dist: xgboost (==1.6.2)
Project-URL: Bug Tracker, https://github.com/zama-ai/concrete-ml/issues
Project-URL: Documentation, http://docs.zama.ai/concrete-ml/
Project-URL: Repository, https://github.com/zama-ai/concrete-ml
Project-URL: README, https://github.com/zama-ai/concrete-ml/blob/main/README.md
Description-Content-Type: text/markdown

# Concrete ML

Concrete-ML is a python package that contains the tools data scientists need to compile various models into their Fully Homomorphic Encryption (FHE) equivalents. Concrete-ML goes on top of the Concrete Framework (https://pypi.org/project/concrete-numpy/, https://pypi.org/project/concrete-compiler/).

