Apache License 2.0

项目介绍

secretflow/secretflow 是一个托管在 GitHub 上的开源项目,主要使用 Python 编写,采用 Apache License 2.0 许可证,目前获得 2.7k 个 Star、469 次 Fork。

仓库全名
secretflow/secretflow
开源许可证
Apache License 2.0
Star 数
2.7k
Fork 数
469
未关闭 Issue
92

README 摘要

简体中文 | English 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…

完整内容见 GitHub 原始 README 或本页 。

常见问题

secretflow 用什么语言开发?

主要使用 Python 编写,采用 Apache License 2.0 许可证,目前有 2.7k 个 Star。

secretflow 可以免费商用吗?

仓库采用 Apache License 2.0 许可证,可免费使用与修改,商业使用请遵守许可证条款(例如保留版权声明与许可声明)。

如何获取 secretflow 的源码?

可以直接克隆仓库:git clone https://github.com/secretflow/secretflow.git,默认分支为 main;安装与运行步骤见仓库 README。

secretflow 最近还在维护吗?

仓库最近一次更新为 4月24日,当前有 92 个未关闭 Issue;Star 数为 2.7k,可作为社区活跃度的参考。

README


CircleCI GoodFirstIssue Contribution Map

简体中文|English

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

  • 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

  • Contributor Rewards: Thank you for contributing to SecretFlow! All contributors will receive: A SecretFlow Open Source Contributor Certificate & An exclusive SecretFlow T-shirt 📌 Apply Now

Good First Issues

We have a list of good first issues. This is a great place for newcomers and beginners alike to get started, gain experience, and get familiar with our contribution process.

Contribution Map

We also welcome community collaboration on more advanced initiatives! Whether you’re refining features, optimizing workflows, or proposing new ideas – there are opportunities for contributors of all skill levels to shape SecretFlow’s future.

Benchmarks

Please check 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.

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