secretflow

Pre-release

This release is a pre-release and may not be stable for production use.

SecretFlow is a unified framework for privacy-preserving data intelligence and machine learning. To achieve this goal, it provides:

An abstract device layer consists of plain devices and secret devices which encapsulate various cryptographic protocols.
A device flow layer modeling higher algorithms as device object flow and DAG.
An algorithm layer to do data analysis and machine learning with horizontal or vertical partitioned data.
A workflow layer that seamlessly integrates data processing, model training, and hyperparameter tuning.

Documentation

SecretFlow

Kuscia: A lightweight privacy-preserving computing task orchestration framework based on K3s.
SCQL: A system that allows multiple distrusting parties to run joint analysis without revealing their private data.
SPU: A provable, measurable secure computation device, which provides computation ability while keeping your private data protected.
HEU: A high-performance homomorphic encryption algorithm library.
YACL: A C++ library that contains cryptography, network and io modules which other SecretFlow code depends on.

Install

Please check INSTALLATION.md

Deployment

Please check DEPLOYMENT.md

Learn PETs

We also provide a curated list of papers and SecretFlow's tutorials on Privacy-Enhancing Technologies (PETs).

Please check AWESOME-PETS.md

Contributing

Please check CONTRIBUTING.md

Disclaimer

Non-release versions of SecretFlow are prohibited from using in any production environment due to possible bugs, glitches, lack of functionality, security issues or other problems.

Metadata

Release files for secretflow 1.4.0.dev20240116

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for secretflow 1.4.0.dev20240116
File	Interpreter	ABI	Platform	Reset
secretflow-1.4.0.dev20240116-cp38-cp38-manylinux2014_x86_64.whl 3.4 MB Jan 16, 2024	CPython 3.8	CPython 3.8	Linux glibc 2.17+ x86-64	Details
secretflow-1.4.0.dev20240116-cp38-cp38-macosx_11_0_arm64.whl 1.9 MB Jan 16, 2024	CPython 3.8	CPython 3.8	macOS 11.0+ ARM64	Details
secretflow-1.4.0.dev20240116-cp38-cp38-macosx_10_16_x86_64.whl 2.0 MB Jan 16, 2024	CPython 3.8	CPython 3.8	macOS 10.16+ x86-64	Details

Total release size: 7.3 MB

Release files / secretflow-1.4.0.dev20240116-cp38-cp38-manylinux2014_x86_64.whl

Download URL	secretflow-1.4.0.dev20240116-cp38-cp38-manylinux2014_x86_64.whl
Size	3.4 MB
Tags	CPython 3.8 Linux glibc 2.17+ x86-64
SHA-256 checksum How to use checksums	`1805cfe194c8e172c2e55be2763a19d552e00b1ba03b7c228348f4b1d2813c5d`
BLAKE2b-256 checksum How to use checksums	`2bcd3ab091fcf52f65a0e2cbac6d2ce292a183b744dcaceab3d214a9bccdf039`
Upload date	Jan 16, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.8.18`

Release files / secretflow-1.4.0.dev20240116-cp38-cp38-macosx_11_0_arm64.whl

Download URL	secretflow-1.4.0.dev20240116-cp38-cp38-macosx_11_0_arm64.whl
Size	1.9 MB
Tags	CPython 3.8 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`dd9f19f727c87357cbb088ea7f17d137746dc2200bcd169366a39b173b59e9c5`
BLAKE2b-256 checksum How to use checksums	`031bb3b563a20e3a48afc3be42da70c232de856a0d0ae5d91a622b6b433ab4e5`
Upload date	Jan 16, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.8.18`

Release files / secretflow-1.4.0.dev20240116-cp38-cp38-macosx_10_16_x86_64.whl

Download URL	secretflow-1.4.0.dev20240116-cp38-cp38-macosx_10_16_x86_64.whl
Size	2.0 MB
Tags	CPython 3.8 macOS 10.16+ x86-64
SHA-256 checksum How to use checksums	`9835ad25009ce2f0d4058d4bbbd24a30461d9763cb0c7f0bfa7d0041774e5cd2`
BLAKE2b-256 checksum How to use checksums	`cc998499bd494340d3de9e25249be87446d1bb17a4ecc3123a9058039207d0ce`
Upload date	Jan 16, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.8.18`