Senparc.Weixin 4.5.7

Senparc.Weixin.dll

微信公众账号SDK:Senparc.Weixin.dll
(作为Senparc.Weixin.MP.dll及Senparc.Weixin.QY.dll的基类)
开源项目:
https://github.com/JeffreySu/WeiXinMPSDK

There is a newer version of this package available.
See the version list below for details.
Install-Package Senparc.Weixin -Version 4.5.7
dotnet add package Senparc.Weixin --version 4.5.7
<PackageReference Include="Senparc.Weixin" Version="4.5.7" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Senparc.Weixin --version 4.5.7
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

Release Notes

v1.0.0
重构代码,从原来的Senparc.Weixin.MP.dll中分离基类代码

v1.4.0
重构代码,完全兼容公众账号及企业号。

v1.5.0
添加统一的消息加密接口

v1.6.0
添加消息去重功能

v1.6.1
完善消息去重功能

v2.0.0
重构代码,加入AppStore接口

v3.0.0
.NET框架升级到4.0

v 3.3.4
区分企业号与公众号的返回码
post表单处理修改

v 3.3.6
修改HttpUtility方法

v3.3.7 添加 验证服务器证书回调自动验证功能

v3.3.8 稳定版本

v3.3.9 优化PostModel基类属性,稳定版本

v4.1.0 添加异步代码,支持.NET 4.5

v4.2.1 完善异步方法,添加JSON生成过程中null对象的过滤机制。

v4.2.3 完善底层代码

v4.3.2 增加统一的Container和Bag管理器

v4.4.1 重构,增加Debug跟踪功能

v4.5 添加分布式缓存接口
v4.5.6 优化缓存策略

Dependencies

This package has no dependencies.

Showing the top 5 GitHub repositories that depend on Senparc.Weixin:

Repository Stars
JeffreySu/WeiXinMPSDK
微信公众平台SDK Senparc.Weixin for C#,支持.NET Framework及.NET Core。已支持微信公众号、小程序、小游戏、企业号、企业微信、开放平台、微信支付、JSSDK、微信周边等全平台。 WeChat SDK for C#.
VictorTzeng/Zxw.Framework.NetCore
基于EF Core的Code First模式的DotNetCore快速开发框架,其中包括DBContext、IOC组件autofac和AspectCore.Injector、代码生成器(也支持DB First)、基于AspectCore的memcache和Redis缓存组件,以及基于ICanPay的支付库和一些日常用的方法和扩展,比如批量插入、更新、删除以及触发器支持,当然还有demo。欢迎提交各种建议、意见和pr~
JeffreySu/WxOpen
微信小程序 C# SDK,Senparc.Weixin.WxOpen.dll
JeffreySu/WechatVideoCourse
《微信公众号+小程序快速开发》视频教程课件及代码
SenparcCoreFramework/SCF
SenparcCoreFramework Template Project

Version History

Version Downloads Last updated
6.4.11 200 7/6/2019
6.4.10 160 7/2/2019
6.4.9 69 7/1/2019
6.4.8.1 87 6/25/2019
6.4.8 1,521 6/6/2019
6.4.8-preview1 171 6/3/2019
6.4.7-preview1 385 5/27/2019
6.4.6-preview1 382 5/23/2019
6.4.5-preview1 71 5/23/2019
6.4.4-preview1 524 5/21/2019
6.4.3 3,410 5/13/2019
6.4.2-preview3 534 5/4/2019
6.4.1.2-preview3 243 4/30/2019
6.4.1-preview3 85 4/29/2019
6.4.0.2-preview1 226 4/28/2019
6.4.0.1-preview1 128 4/27/2019
6.4.0-preview1 90 4/26/2019
6.3.11 5,682 4/4/2019
6.3.10.2 5,443 3/30/2019
6.3.10.1 3,417 3/9/2019
6.3.9 6,225 3/1/2019
6.3.8.2 4,174 2/4/2019
6.3.8.2-preview1 456 1/29/2019
6.3.8-preview1 1,137 1/29/2019
6.3.6-preview1 175 1/23/2019
6.3.5 2,316 1/22/2019
6.3.5-preview1 151 1/18/2019
6.3.4.2 1,382 1/16/2019
6.3.4.1 4,494 1/8/2019
6.3.4 1,677 1/3/2019
6.3.3.1-preview2 222 12/30/2018
6.3.3-preview2 260 12/28/2018
6.3.2-preview6 261 12/27/2018
6.3.2-preview5 139 12/27/2018
6.3.2-preview3 135 12/26/2018
6.3.1 2,506 12/26/2018
6.3.0 1,713 12/18/2018
6.3.0-preview3 151 12/17/2018
6.3.0-preview1 120 12/17/2018
6.2.1 6,027 11/30/2018
6.2.0 3,599 11/18/2018
6.2.0-preview3 247 11/18/2018
6.2.0-preview2 130 11/17/2018
6.2.0-preview1 235 11/17/2018
6.1.11 3,876 10/31/2018
6.1.10 1,118 10/30/2018
6.1.9 1,441 10/23/2018
6.1.9-preview1 145 10/22/2018
6.1.8 914 10/21/2018
6.1.7 1,269 10/16/2018
6.1.6.1 2,218 10/11/2018
6.1.6 711 10/10/2018
6.1.5 1,098 10/7/2018
6.1.3 3,228 9/27/2018
6.1.2 942 9/23/2018
6.1.1 1,010 9/17/2018
6.0.3 1,762 9/7/2018
6.0.2 1,105 9/5/2018
6.0.1 982 9/2/2018
5.1.8 1,977 8/25/2018
5.1.7 3,759 8/3/2018
5.1.6 720 8/2/2018
5.1.4 1,320 7/28/2018
5.1.3.1 1,865 7/21/2018
5.1.2 1,375 7/17/2018
5.1.0 1,914 7/15/2018
5.0.11 2,660 7/7/2018
5.0.7 509 7/6/2018
5.0.6.1 1,326 7/4/2018
5.0.2-preview 572 6/21/2018
5.0.0-preview1 300 6/15/2018
4.22.2 2,973 6/14/2018
4.22.1 4,665 5/30/2018
4.22.1-rc1 247 5/27/2018
4.21.5-rc1 1,187 5/17/2018
4.21.1-rc1 228 5/16/2018
4.21.0-rc1 210 5/16/2018
4.20.3 5,826 5/3/2018
4.20.2 12,614 2/28/2018
4.20.0 1,349 2/22/2018
4.19.0 813 2/9/2018
4.18.14 2,722 1/28/2018
4.18.12 4,513 1/10/2018
4.18.9 3,122 12/22/2017
4.18.7 2,373 12/8/2017
4.18.6 1,255 12/1/2017
4.18.5 1,126 11/27/2017
4.18.4 1,314 11/17/2017
4.18.3 2,113 11/6/2017
4.18.2-beta 199 11/4/2017
4.17.2 1,359 10/27/2017
4.17.1 1,316 10/23/2017
4.17.0-beta4 875 10/8/2017
4.17.0-beta3 217 10/7/2017
4.17.0-beta2 202 10/6/2017
4.16.9 4,545 10/3/2017
4.16.5 814 9/28/2017
4.16.4 1,661 9/26/2017
4.16.1 2,517 9/21/2017
4.14.4 1,913 9/8/2017
4.14.3 1,178 9/1/2017
4.14.0 3,002 8/15/2017
4.13.5 757 8/11/2017
4.13.4 1,637 7/30/2017
4.13.1 3,597 7/7/2017
4.12.5 1,376 6/17/2017
4.12.4 3,293 6/2/2017
4.12.3 2,423 5/8/2017
4.12.2 523 5/6/2017
4.12.1 670 4/27/2017
4.12.0 1,446 4/25/2017
4.11.9 2,865 4/13/2017
4.11.6 2,439 3/27/2017
4.11.4 2,064 3/13/2017
4.11.1 918 3/2/2017
4.11.0 2,158 2/17/2017
4.9.12 1,556 1/21/2017
4.9.11 6,117 1/8/2017
4.9.4-beta 371 12/14/2016
4.9.0 6,125 10/24/2016
4.8.1 2,887 10/17/2016
4.8.0 3,399 9/27/2016
4.7.7 2,218 8/13/2016
4.7.5 1,678 8/13/2016
4.7.4 563 8/12/2016
4.7.3 2,836 8/11/2016
4.6.2 1,135 8/3/2016
4.5.22 627 8/1/2016
4.5.21 799 7/23/2016
4.5.20 3,336 5/27/2016
4.5.19 4,815 4/24/2016
4.5.17 1,804 3/19/2016
4.5.16 1,336 3/18/2016
4.5.14 636 3/12/2016
4.5.12 1,520 2/22/2016
4.5.7 2,458 12/28/2015
4.5.6 424 12/28/2015
4.5.4 743 12/21/2015
4.5.1 2,093 11/3/2015
4.4.3 1,594 10/15/2015
4.4.2 1,226 10/14/2015
4.4.1 395 10/13/2015
4.4.0 819 10/13/2015
4.3.3 690 10/4/2015
4.3.2 694 10/3/2015
4.2.1 455 9/29/2015
4.1.0 444 9/28/2015
3.3.9 2,328 7/25/2015
3.3.8 1,361 7/6/2015
3.3.7 926 6/23/2015
3.3.6 1,592 5/3/2015
3.3.5 793 4/20/2015
3.3.4 650 4/9/2015
3.3.2 570 3/30/2015
3.3.1 614 3/19/2015
3.2.0 398 3/18/2015
3.1.0 454 3/15/2015
3.0.0 387 3/15/2015
2.1.0 697 3/4/2015
1.6.3 395 3/13/2015
1.6.2 2,058 2/9/2015
1.6.1 872 12/25/2014
1.6.0 975 12/2/2014
1.5.0 822 10/27/2014
1.4.0 815 10/7/2014
1.1.0 454 9/24/2014
1.0.0 477 9/23/2014
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