{"id":13454252,"url":"https://github.com/primihub/primihub","last_synced_at":"2025-05-14T13:05:51.767Z","repository":{"id":36979791,"uuid":"469566735","full_name":"primihub/primihub","owner":"primihub","description":"Privacy-Preserving Computing Platform 由密码学专家团队打造的开源隐私计算平台，支持多方安全计算、联邦学习、隐私求交、匿踪查询等。","archived":false,"fork":false,"pushed_at":"2024-12-02T10:52:21.000Z","size":20404,"stargazers_count":1319,"open_issues_count":3,"forks_count":175,"subscribers_count":25,"default_branch":"develop","last_synced_at":"2025-04-12T13:57:31.780Z","etag":null,"topics":["federated-learning","fl","hacktoberfest","mpc","multi-party-computation","pir","privacy-preserving","private-information-retrieval","private-set-intersection","psi","security-protocol"],"latest_commit_sha":null,"homepage":"https://docs.primihub.com/","language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/primihub.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":"Roadmap.md","authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-03-14T03:25:26.000Z","updated_at":"2025-04-04T10:42:39.000Z","dependencies_parsed_at":"2024-01-15T08:35:53.244Z","dependency_job_id":"45ae1ea1-89c7-4229-8722-68c16e5c896b","html_url":"https://github.com/primihub/primihub","commit_stats":null,"previous_names":[],"tags_count":23,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/primihub%2Fprimihub","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/primihub%2Fprimihub/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/primihub%2Fprimihub/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/primihub%2Fprimihub/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/primihub","download_url":"https://codeload.github.com/primihub/primihub/tar.gz/refs/heads/develop","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254149944,"owners_count":22022851,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["federated-learning","fl","hacktoberfest","mpc","multi-party-computation","pir","privacy-preserving","private-information-retrieval","private-set-intersection","psi","security-protocol"],"created_at":"2024-07-31T08:00:52.249Z","updated_at":"2025-05-14T13:05:51.738Z","avatar_url":"https://github.com/primihub.png","language":"C++","funding_links":[],"categories":["C++","federated learning framework","隐私新技术","🏢 Companies \u0026 Solutions"],"sub_categories":["table","隐私相关领域法规/条例","🔐 Privacy-Preserving Computing"],"readme":"\u003cp align=\"center\"\u003e\n  \u003cimg src=\"doc/header.jpeg\" alt=\"Header\"\u003e\n  \u003cbr\u003e\n\n  \u003cp align=\"center\"\u003e\u003cstrong\u003e由密码学专家团队打造的开源隐私计算平台\u003c/strong\u003e\u003c/p\u003e\n\n  \u003cp align=\"center\"\u003e\n    \u003ca href=\"https://github.com/primihub/primihub/releases\"\u003e\u003cimg src=\"https://img.shields.io/github/v/release/primihub/primihub?style=flat-square\" alt=\"GitHub Release\"\u003e\u003c/a\u003e\n    \u003ca href=\"https://github.com/primihub/primihub/actions/workflows/main.yml\"\u003e\u003cimg src=\"https://img.shields.io/github/actions/workflow/status/primihub/primihub/main.yml?logo=github\u0026style=flat-square\" alt=\"Build Status\"\u003e\u003c/a\u003e\n    \u003ca href=\"https://hub.docker.com/r/primihub/primihub-node\"\u003e\u003cimg src=\"https://img.shields.io/docker/pulls/primihub/primihub-node?style=flat-square\" alt=\"Docker Pulls\"\u003e\u003c/a\u003e\n  \u003c/p\u003e\n  \n  \u003cp align=\"center\"\u003e\n   中文 | \u003ca href='README_EN.md'\u003eEnglish\u003c/a\u003e\n  \u003c/p\u003e\n\n\u003c/p\u003e\n\n隐私计算\n-------\n\n数据流动起来才可以创造更大的价值，随着数字经济持续高速增长，**数据的互联互通需求越来越旺盛**，大到政府机关的机密数据、公司核心商业数据、小到个人信息。近两年，我国也相继出台了 **《数据安全法》** 和 **《个人信息保护法》**。因此，**如何让数据安全地流通起来，是一个必须要解决的问题**。\n\n隐私计算技术作为**连接数据流通和隐私保护法规的纽带**，实现了 **“数据可用不可见”**。即**在保护数据本身不对外泄露的前提下实现数据分析计算的技术集合**。隐私计算作为数据流通的**重要创新前沿技术**，已经广泛应用于金融、医疗、通信、政务等多个行业。\n\nPrimiHub\n-------\n\n如果你对隐私计算感兴趣，想近距离体验下隐私计算的魅力，不妨试试 PrimiHub！一款**由密码学专家团队打造的开源隐私计算平台**，它安全可靠、开箱即用、自主研发、功能丰富。\n\n特性\n---\n\n* **开源**：完全开源、免费\n* **安装简单**：支持 Docker 一键部署\n* **开箱即用**：拥有 [Web界面](https://github.com/primihub/primihub-platform)、[命令行](https://docs.primihub.com/docs/category/%E5%88%9B%E5%BB%BA%E4%BB%BB%E5%8A%A1) 和 [Python SDK](https://docs.primihub.com/docs/category/python-sdk-client) 多种使用方式\n* **功能丰富**：支持隐匿查询、隐私求交、联合统计、数据资源管理等功能\n* **灵活配置**：支持自定义扩展语法、语义、安全协议等\n* **自主研发**：基于安全多方计算、联邦学习、同态加密、可信计算等隐私计算技术\n\n快速开始\n-------\n\n推荐使用 Docker 部署 PrimiHub，开启你的隐私计算之旅。\n\n```\n# 第一步：下载\ngit clone https://github.com/primihub/primihub.git\n# 第二步：启动容器\ncd primihub \u0026\u0026 docker-compose up -d\n# 第三步：进入容器\ndocker exec -it primihub-node0 bash\n# 第四步：执行隐私求交计算\n./primihub-cli --task_config_file=\"example/psi_ecdh_task_conf.json\"\nI20230616 13:40:10.683375    28 cli.cc:524] all node has finished\nI20230616 13:40:10.683745    28 cli.cc:598] SubmitTask time cost(ms): 1419\n# 查看结果\ncat data/result/psi_result.csv\n\"intersection_row\"\nX3\n...\n```\n\n\u003cp align=\"center\"\u003e\u003cimg src=\"doc/kt.gif\" width=700 alt=\"PSI\"\u003e\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\u003cem\u003e隐私求交例子 \u003ca href=\"https://docs.primihub.com/docs/quick-start-platform/\"\u003e在线尝试\u003c/a\u003e・\u003ca href=\"https://docs.primihub.com/docs/advance-usage/create-tasks/psi-task/\"\u003e命令行\u003c/a\u003e\u003c/em\u003e\u003c/p\u003e\n\n除此之外，PrimiHub 还提供了多种适合**不同人群**的使用方式：\n\n* [在线体验](https://docs.primihub.com/docs/quick-start-platform/)\n* [Docker](https://docs.primihub.com/docs/advance-usage/start/quick-start)\n* [可执行文件](https://docs.primihub.com/docs/advance-usage/start/start-nodes)\n* [自行编译](https://docs.primihub.com/docs/advance-usage/start/build)\n\n问题 / 帮助 / Bug\n------------\n\n如果您在使用过程中遇到任何问题，需要我们的帮助可以 [点击](https://github.com/primihub/primihub/issues/new/choose) 反馈问题。\n\n欢迎添加我们的微信助手，加入「PrimiHub 开源社区」微信群。“零距离”接触**项目核心开发、密码学专家、隐私计算行业大咖**，获得更及时的回复和隐私计算的第一手资讯。\n\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"doc/wechat.jpeg\" alt=\"Header\"\u003e\n\u003c/p\u003e\n\n许可证\n-----\n\n此代码在 Apache 2.0 下发布，参见 [LICENSE](https://github.com/primihub/primihub/blob/develop/LICENSE) 文件。\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprimihub%2Fprimihub","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fprimihub%2Fprimihub","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprimihub%2Fprimihub/lists"}