{"id":15631227,"url":"https://github.com/bado1a5a90/performance","last_synced_at":"2025-08-21T12:30:35.206Z","repository":{"id":55140007,"uuid":"291144468","full_name":"badO1a5A90/Performance","owner":"badO1a5A90","description":"Xray/v2ray/trojan/shadowsocks 基础性能测试及针对性测试.","archived":false,"fork":false,"pushed_at":"2020-12-21T10:15:21.000Z","size":1452,"stargazers_count":197,"open_issues_count":5,"forks_count":25,"subscribers_count":15,"default_branch":"main","last_synced_at":"2024-12-10T10:02:48.141Z","etag":null,"topics":["shadowsocks","trojan","v2ray","xray"],"latest_commit_sha":null,"homepage":"https://github.com/badO1a5A90/Performance","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/badO1a5A90.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-08-28T20:56:45.000Z","updated_at":"2024-11-03T18:46:01.000Z","dependencies_parsed_at":"2022-08-14T13:10:51.247Z","dependency_job_id":null,"html_url":"https://github.com/badO1a5A90/Performance","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/badO1a5A90%2FPerformance","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/badO1a5A90%2FPerformance/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/badO1a5A90%2FPerformance/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/badO1a5A90%2FPerformance/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/badO1a5A90","download_url":"https://codeload.github.com/badO1a5A90/Performance/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":230511479,"owners_count":18237657,"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":["shadowsocks","trojan","v2ray","xray"],"created_at":"2024-10-03T10:39:37.034Z","updated_at":"2024-12-19T23:14:41.951Z","avatar_url":"https://github.com/badO1a5A90.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Xray/v2ray/trojan/shadowsocks 性能测试\n\nXray/v2ray推荐使用模式和性能测试,及一些针对性性能测试.  \ntrojan-go,trojan-gfw,SS各种实现的性能测试.\n\n# update 20201216\n- Xray v1.1.3版本相对Xray v1.1.1并没有性能上的改动,因此仍可参照Xray v1.1.1的相关测试及对比测试.\n- [软路由上splice性能下降的研究及解决方案](https://github.com/XTLS/Xray-core/discussions/59)\n\n# update 20201204\n- 增加[Xray v1.1.1版本各组合方式性能测试](https://github.com/badO1a5A90/v2ray-doc/blob/main/Xray_test_v1.1.1.md)\n# update 20201202\n- 增加[Xray v1.1.1的性能对比测试](https://github.com/badO1a5A90/v2ray-doc/blob/main/performance_test/Xray/speed_test_20201202.md)\n- **splice模式一骑绝尘**\n\n\u003c!-- \u003cdetails\u003e\n\u003csummary\u003e点击展开查看更多测试\u003c/summary\u003e --\u003e\n\n# update 20201124\n- 增加[Xray v1.0.0的性能对比测试](https://github.com/badO1a5A90/v2ray-doc/blob/main/performance_test/Xray/speed_test_20201124.md)\n  \n# update 20201119\n- 增加Xray和v2ray的[对比测试](https://github.com/badO1a5A90/v2ray-doc/blob/main/performance_test/Xray/speed_test_2020119.md).\n- 增加ss各种实现的测试数据.\n\n# update 20201116\n- 经过更多实测和代码分析后,确定v2ray 的流量统计功能会使裸协议的 ReadV 和 WriteV 同时失效(除特殊机制外)\n- 具体参见[issue#416](https://github.com/v2fly/v2ray-core/issues/416)\n\n# update 20201109\n增加v4.32.1一组新测试数据(不同硬件及性能限制),同时此组数据增加了vmess over TCP的各种组合测试对照.   \n增加trojan-go和trojan-gfw的测试数据.\n\n**点击查看 [v4.32.1版本测试](https://github.com/badO1a5A90/v2ray-doc/blob/master/v2ray_speed_test_v4.32.1.md).**\n\n  新的测试数据可以验证 XTLS Direct Mode 性能与无加密裸奔持平.\n- 硬件性能越低,VLESS XTLS Direct Mode性能提升越明显.\n- ~~实测开启v2ray内置的流量统计会使所有的readV失效,并且受到额外性能打击~~\n- 经过更多实测和代码分析后,确定v2ray 的流量统计功能会使裸协议的 ReadV 和 WriteV 同时失效(除特殊机制外)\n\n# update 20201108\n\n最新的 v4.32.1 版本中，VLESS XTLS Direct Mode 性能已与 VLESS 无加密裸奔持平（接近于纯流量转发).\n\n**点击查看 [v4.32.1版本测试](https://github.com/badO1a5A90/v2ray-doc/blob/master/v2ray_speed_test_v4.32.1.md).**\n\n\u003c!-- \u003c/details\u003e --\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbado1a5a90%2Fperformance","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbado1a5a90%2Fperformance","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbado1a5a90%2Fperformance/lists"}