Search Results for "c# source code example"
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Showing 4 open source projects for "c# source code example"
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cpp-httplib
A C++ header-only HTTP/HTTPS server and client library
A C++11 single-file header-only cross-platform HTTP/HTTPS library. It's extremely easy to setup. Just include the httplib.h file in your code! This is a multi-threaded 'blocking' HTTP library. If you are looking for a 'non-blocking' library, this is not the one that you want. SSL support is available with CPPHTTPLIB_OPENSSL_SUPPORT. libssl and libcrypto should be linked. When using SSL, it seems impossible to avoid SIGPIPE in all cases, since on some operating systems, SIGPIPE can only be... -
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Muduo
Event-driven network library for multi-threaded Linux server in C++11
Muduo is a multithreaded C++ network library based on the reactor pattern. Use of this source code is governed by a BSD-style license that can be found in the License file. Requires Linux kernel version equal or above 2.6.28. Tested on Debian 7 and above, Unbuntu 14.04 and above, and CentOS 7 and above. Install required packages Debian, Ubuntu, etc. See .travis.yml for additional packages for building more examples. -
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NTK RTMP SERVER
Naam Tamilar Web TV Live Streamer
Naam Tamilar RTMP Server This project updated as open source for future use of Naam Tamilar Political Party. To contribute to the party and in some case if there is any possibilities if i cannot support them for long term. I thought of sharing this source code so in future it may be helpful for the community and party in which other software developers can help them to upgrade. This source is forked from - https://github.com/arut/nginx-rtmp-module and modified with multiple broadcast... -
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Free open source native CFML(ColdFusion compatible) application server. Test the app at http://mkfusion.bokicsoft.com/test/
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Cloud data warehouse to power your data-driven innovationBigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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