Metadata-Version: 2.1
Name: secretflow-lite
Version: 1.9.0.dev20240911
Summary: SecretFlow Lite
Home-page: https://github.com/secretflow/secretflow
Author: SCI Center
Author-email: secretflow-contact@service.alipay.com
License: Apache 2.0
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: clean-text
Requires-Dist: click
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Requires-Dist: multiprocess
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Requires-Dist: numpy
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Requires-Dist: s3fs==2024.2.0
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Requires-Dist: secretflow-rayfed==0.2.1a2
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Requires-Dist: sf-heu==0.5.0.b0
Requires-Dist: secretflow-serving-lib==0.5.0.dev20240702
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Requires-Dist: sdc-sdk==0.1.0.dev240320; platform_machine == "x86_64"
Provides-Extra: dev
Requires-Dist: pylint; extra == "dev"

<div align="center">
    <img src="docs/_static/logo-light.png">
</div>

---

[![CircleCI](https://dl.circleci.com/status-badge/img/gh/secretflow/secretflow/tree/main.svg?style=svg)](https://dl.circleci.com/status-badge/redirect/gh/secretflow/secretflow/tree/main)

<p align="center">
<a href="./README.zh-CN.md">简体中文</a>｜<a href="./README.md">English</a>
</p>

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.

<div align="center">
    <img src="docs/_static/secretflow_arch.svg">
</div>

## Documentation

- [SecretFlow](https://www.secretflow.org.cn/docs/secretflow/en/)
  - [Getting Started](https://www.secretflow.org.cn/docs/secretflow/en/getting_started/index.html)
  - [User Guide](https://www.secretflow.org.cn/docs/secretflow/en/user_guide/index.html)
  - [API Reference](https://www.secretflow.org.cn/docs/secretflow/en/api/index.html)
  - [Tutorial](https://www.secretflow.org.cn/docs/secretflow/en/tutorial/index.html)

## SecretFlow Related Projects

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

## Install

Please check [INSTALLATION.md](./docs/getting_started/installation.md)

## Deployment

Please check [DEPLOYMENT.md](./docs/getting_started/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](./docs/awesome-pets/awesome-pets.md)

## Contributing

Please check [CONTRIBUTING.md](./CONTRIBUTING.md)

## Benchmarks

Please check [OVERALL_BENCHMARK.md](./docs/developer/benchmark/overall_benchmark.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.
