blocks|key|482020|text|它们都是从google“核心报告API”页面链接到的。http://code.google.com/apis/analytics/docs/gdata/v3/gdataLibraries.html|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|482021|一个链接在v3.0下，另一个链接在v2.4下。|482022|v3.0的.net库似乎还处于测试阶段。|482023|这里是v3.0和v2.4之间的比较：http://code.google.com/apis/analytics/docs/gdata/home.html|482024|entityMap|0|LINK|mutability|MUTABLE|url|http://code.google.com/apis/analytics/docs/gdata/v3/gdataLibraries.html|1|http://code.google.com/apis/analytics/docs/gdata/home.html^0|R|1Z|0|0|0|0|I|1M|1|0^^$0|@$1|2|3|4|5|6|7|T|8|@]|9|@$A|U|B|V|1|W]]|C|$]]|$1|D|3|E|5|6|7|X|8|@]|9|@]|C|$]]|$1|F|3|G|5|6|7|Y|8|@]|9|@]|C|$]]|$1|H|3|I|5|6|7|Z|8|@]|9|@$A|10|B|11|1|12]]|C|$]]|$1|J|3|-4|5|6|7|13|8|@]|9|@]|C|$]]]|K|$L|$5|M|N|O|C|$P|Q]]|R|$5|M|N|O|C|$P|S]]]]

They are both linked to from google "Core Reporting API" pages.
<a href="http://code.google.com/apis/analytics/docs/gdata/v3/gdataLibraries.html" rel="nofollow">http://code.google.com/apis/analytics/docs/gdata/v3/gdataLibraries.html</a>

One is linked under v3.0, and one from v2.4.

The .net library for v3.0 still appears to be in beta.

There is a comparison between v3.0 and v2.4 here: <a href="http://code.google.com/apis/analytics/docs/gdata/home.html" rel="nofollow">http://code.google.com/apis/analytics/docs/gdata/home.html</a>

blocks|key|482090|text|在我(有限的)经验中：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|482091|482092|GData具有更好的集成OAuth2支持，可以更容易地use.|unordered-list-item|482093|GoogleApiDotnetClient服务返回特定子类型，而GData返回基本类型。例如，GData日历事件请求返回类型为IEnumerable<Event>的内容，而GData返回一个IEnumerable<AtomEntry>，其中每个实例实际上都是一个GoogleApiDotnetClient实例更简单，例如，GData的摘要是一个字符串字段，而GData的AtomTextConstruct是一个具有Text的GoogleApiDotnetClient+property.|offset|length|style|CODE|482094|GoogleApiDotnetClient不支持某些API，特别是IEnumerable<Event>日期往往是GoogleApiDotnetClient中的字符串，但遗憾的是，GData中的适当DateTime值具有任何Text注释。|482095|482096|到目前为止，我更喜欢GoogleApiDotnetClient，但坦率地说，它们都有很大的改进空间。|482097|entityMap^0|0|0|0|1R|I|2N|M|55|H|5R|4|0|X|I|2Q|8|33|4|0|0|0^^$0|@$1|2|3|4|5|6|7|S|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|T|8|@]|9|@]|A|$]]|$1|C|3|D|5|E|7|U|8|@]|9|@]|A|$]]|$1|F|3|G|5|E|7|V|8|@$H|W|I|X|J|K]|$H|Y|I|Z|J|K]|$H|10|I|11|J|K]|$H|12|I|13|J|K]]|9|@]|A|$]]|$1|L|3|M|5|E|7|14|8|@$H|15|I|16|J|K]|$H|17|I|18|J|K]|$H|19|I|1A|J|K]]|9|@]|A|$]]|$1|N|3|-4|5|6|7|1B|8|@]|9|@]|A|$]]|$1|O|3|P|5|6|7|1C|8|@]|9|@]|A|$]]|$1|Q|3|-4|5|6|7|1D|8|@]|9|@]|A|$]]]|R|$]]

In my (limited) experience:

<ul>
<li>GData has a better integrated OAuth2 support, which is easier to use.</li>
<li>GoogleApiDotnetClient services return specific subtypes while GData returns base types. For example, a GoogleApiDotnetClient calendar events request returns something typed <code>IEnumerable&lt;Event&gt;</code>, while GData returns an <code>IEnumerable&lt;AtomEntry&gt;</code> where each instance is actually an <code>EventEntry</code>.</li>
<li>GoogleApiDotnetClient instances are simpler, for example an <code>Event.Summary</code> is a string field whereas GData's Summary is an <code>AtomTextConstruct</code> which has a <code>Text</code> property.</li>
<li>GoogleApiDotnetClient does not support some APIs, notably Spreadsheets.</li>
<li>The dates tend to be strings in GoogleApiDotnetClient but proper <code>DateTime</code> values in GData.</li>
<li>Neither has any XML comments whatsoever, sadly.</li>
</ul>

So far I have a preference for GoogleApiDotnetClient, but frankly, both of them have lots of space for improvement.

blocks|key|472735|text|谷歌为那些喜欢/需要用.Net编写应用程序的人提供了一个.Net包装器：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|472736|472737|+http://code.google.com/p/google-gdata/|blockquote|offset|length|472738|472739|GData+.NET客户端库提供了一个库和源代码，使得通过Google访问数据变得很容易。|472740|472741|PS：|472742|谷歌数据(GData)+!=谷歌分析API：|472743|http://code.google.com/apis/analytics/|472744|entityMap|0|LINK|mutability|MUTABLE|url|http://code.google.com/p/google-gdata/|1^0|0|0|1|12|0|0|0|0|0|0|0|0|12|1|0^^$0|@$1|2|3|4|5|6|7|10|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|11|8|@]|9|@]|A|$]]|$1|C|3|D|5|E|7|12|8|@]|9|@$F|13|G|14|1|15]]|A|$]]|$1|H|3|-4|5|6|7|16|8|@]|9|@]|A|$]]|$1|I|3|J|5|6|7|17|8|@]|9|@]|A|$]]|$1|K|3|-4|5|6|7|18|8|@]|9|@]|A|$]]|$1|L|3|M|5|6|7|19|8|@]|9|@]|A|$]]|$1|N|3|O|5|6|7|1A|8|@]|9|@]|A|$]]|$1|P|3|Q|5|6|7|1B|8|@]|9|@$F|1C|G|1D|1|1E]]|A|$]]|$1|R|3|-4|5|6|7|1F|8|@]|9|@]|A|$]]]|S|$T|$5|U|V|W|A|$X|Y]]|Z|$5|U|V|W|A|$X|Q]]]]

Google provides a .Net wrapper for those who prefer/need to code their application in .Net:

<blockquote>
 <a href="http://code.google.com/p/google-gdata/" rel="nofollow">http://code.google.com/p/google-gdata/</a>
 
 The GData .NET Client Library provides a library and source code that
 make it easy to access data through Google Data APIs.
</blockquote>

PS:

Google Data (GData) != Google Analytics API:

<a href="http://code.google.com/apis/analytics/" rel="nofollow">http://code.google.com/apis/analytics/</a>

blocks|key|4520403|text|(2020年9月)几乎所有其他答案现在都已过期(包括任何code.google.com链接)。GData+APIs是上一代的GData+API，旧的Google+Docs+API文档越来越难找到。虽然并非所有的GData+API都已弃用，但all++Google+APIs+do++not++use+the+Google+Data+protocol。特别是对于Analytics，谷歌不仅发布了一个新的API，还发布了an+entire++of+APIs，其中没有一个是GData。|type|unstyled|depth|inlineStyleRanges|offset|length|style|BOLD|CODE|entityRanges|data|4520404|为了使用上面链接的新API，您需要获取the+Google+APIs+Client+Library+for+.NET/C#，然后选择要使用的API。总体而言，与旧的API版本相比，开发人员获得了更强大、更灵活的体验和功能。最后，每个API都应该有自己的代码示例，以帮助您快速入门。如果您还需要旧API的文档(报告接口v2+&+v3)，可以在this+page的底部找到。|4520405|entityMap|0|LINK|mutability|MUTABLE|url|http://developers.google.com/gdata/docs/directory|1|http://developers.google.com/api-client-library/dotnet/apis|2|http://developers.google.com/gdata|3|http://developers.google.com/analytics|4|http://developers.google.com/api-client-library/dotnet|5|https://developers.google.com/analytics/devguides/reporting^0|0|9|3W|5|S|F|1B|A|0|3C|G|1|46|O|2|5T|I|3|0|J|16|4|4Q|9|5|0^^$0|@$1|2|3|4|5|6|7|10|8|@$9|11|A|12|B|C]|$9|13|A|14|B|C]|$9|15|A|16|B|D]]|E|@$9|17|A|18|1|19]|$9|1A|A|1B|1|1C]|$9|1D|A|1E|1|1F]|$9|1G|A|1H|1|1I]]|F|$]]|$1|G|3|H|5|6|7|1J|8|@]|E|@$9|1K|A|1L|1|1M]|$9|1N|A|1O|1|1P]]|F|$]]|$1|I|3|-4|5|6|7|1Q|8|@]|E|@]|F|$]]]|J|$K|$5|L|M|N|F|$O|P]]|Q|$5|L|M|N|F|$O|R]]|S|$5|L|M|N|F|$O|T]]|U|$5|L|M|N|F|$O|V]]|W|$5|L|M|N|F|$O|X]]|Y|$5|L|M|N|F|$O|Z]]]]

(Sep 2020) Pretty much all other answers are now out-of-date (including any <code>code.google.com</code> links). <a href="http://developers.google.com/gdata/docs/directory" rel="nofollow noreferrer">GData APIs</a> are the previous generation of Google APIs, and old GData Docs API documentation is getting harder to find. While not all GData APIs have been deprecated, <a href="http://developers.google.com/api-client-library/dotnet/apis" rel="nofollow noreferrer">all newer Google APIs</a> do not use <a href="http://developers.google.com/gdata" rel="nofollow noreferrer">the Google Data protocol</a>. For Analytics specifically, Google didn't just release a new API, but <a href="http://developers.google.com/analytics" rel="nofollow noreferrer">an entire family of APIs</a>, none of which are GData.
In order to use the new APIs linked to above, you need to get <a href="http://developers.google.com/api-client-library/dotnet" rel="nofollow noreferrer">the Google APIs Client Library for .NET/C#</a>, then choose which API(s) you want to use. Overall, developers get a more powerful &amp; flexible experience &amp; functionality than older API releases. Finally, each API should have their own code samples to help get you kickstarted. If you still need the docs for the old APIs (Reporting API v2 &amp; v3), they're available at the bottom of <a href="https://developers.google.com/analytics/devguides/reporting" rel="nofollow noreferrer">this page</a>.

What is the difference between the <a href="http://code.google.com/p/google-api-dotnet-client/" rel="noreferrer">Google APIs Client Library for .NET</a> (google-api-dotnet-client) and <a href="http://code.google.com/p/google-gdata/" rel="noreferrer">.NET library for the Google Data API </a> (google-gdata) as they pertain to the <a href="http://code.google.com/apis/analytics/" rel="noreferrer">Google Analytics API</a>?

What's the difference between Google Analytics API client libraries? (google-api-dotnet-client vs. google-gdata)

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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