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🔥 Trending Repository: modular-monolith-with-ddd

📝 Description: Full Modular Monolith application with Domain-Driven Design approach.

🔗 Repository URL: https://github.com/kgrzybek/modular-monolith-with-ddd

📖 Readme: https://github.com/kgrzybek/modular-monolith-with-ddd#readme

📊 Statistics:
🌟 Stars: 12.6K stars
👀 Watchers: 393
🍴 Forks: 2K forks

💻 Programming Languages: C# - TSQL

🏷️ Related Topics:
#design_systems #cqrs #rest #dotnet #ddd #dotnetcore #rest_api #clean_code #architecture #domain_driven_design #design_patterns #event_sourcing #clean_architecture #entity_framework_core #modularity #monolith #software_architecture #ddd_architecture #ddd_example #ddd_cqrs


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🧠 By: https://t.me/DataScienceM
🔥 Trending Repository: dotnet-starter-kit

📝 Description: Production Grade Cloud-Ready .NET 9 Starter Kit (Web API + Blazor Client) with Multitenancy Support, and Clean/Modular Architecture that saves roughly 200+ Development Hours! All Batteries Included.

🔗 Repository URL: https://github.com/fullstackhero/dotnet-starter-kit

🌐 Website: https://fullstackhero.net/dotnet-webapi-boilerplate/

📖 Readme: https://github.com/fullstackhero/dotnet-starter-kit#readme

📊 Statistics:
🌟 Stars: 5.8K stars
👀 Watchers: 166
🍴 Forks: 1.8K forks

💻 Programming Languages: C# - HTML - HCL

🏷️ Related Topics:
#docker #template #aws #boilerplate #dotnet #terraform #clean_architecture #starter_kit #webapi #multitenancy #blazor #modular_monolith #clean_architechture #vertical_slice_architecture #codewithmukesh #fullstackhero #dotnet8


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🧠 By: https://t.me/DataScienceM
🔥 Trending Repository: jellyfin

📝 Description: The Free Software Media System - Server Backend & API

🔗 Repository URL: https://github.com/jellyfin/jellyfin

🌐 Website: https://jellyfin.org

📖 Readme: https://github.com/jellyfin/jellyfin#readme

📊 Statistics:
🌟 Stars: 43.7K stars
👀 Watchers: 334
🍴 Forks: 3.9K forks

💻 Programming Languages: C#

🏷️ Related Topics:
#csharp #dotnet #jellyfin


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🧠 By: https://t.me/DataScienceM
🔥 Trending Repository: aspnetcore

📝 Description: ASP.NET Core is a cross-platform .NET framework for building modern cloud-based web applications on Windows, Mac, or Linux.

🔗 Repository URL: https://github.com/dotnet/aspnetcore

🌐 Website: https://asp.net

📖 Readme: https://github.com/dotnet/aspnetcore#readme

📊 Statistics:
🌟 Stars: 37.1K stars
👀 Watchers: 1.4k
🍴 Forks: 10.4K forks

💻 Programming Languages: C# - HTML - C++ - TypeScript - Java - PowerShell

🏷️ Related Topics:
#dotnet #aspnetcore #help_wanted #hacktoberfest


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🧠 By: https://t.me/DataScienceM
🔥 Trending Repository: agent-framework

📝 Description: A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

🔗 Repository URL: https://github.com/microsoft/agent-framework

🌐 Website: https://aka.ms/agent-framework

📖 Readme: https://github.com/microsoft/agent-framework#readme

📊 Statistics:
🌟 Stars: 1.4K stars
👀 Watchers: 31
🍴 Forks: 151 forks

💻 Programming Languages: Python - C# - TypeScript - HTML - PowerShell - CSS

🏷️ Related Topics:
#python #sdk #ai #dotnet #orchestration #multi_agent #workflows #agents #agent_framework #agentic_ai


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🧠 By: https://t.me/DataScienceM
🔥 Trending Repository: sherpa-onnx

📝 Description: Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, support 12 programming languages

🔗 Repository URL: https://github.com/k2-fsa/sherpa-onnx

🌐 Website: https://k2-fsa.github.io/sherpa/onnx/index.html

📖 Readme: https://github.com/k2-fsa/sherpa-onnx#readme

📊 Statistics:
🌟 Stars: 7.8K stars
👀 Watchers: 92
🍴 Forks: 908 forks

💻 Programming Languages: C++ - Python - Shell - JavaScript - Kotlin - Dart

🏷️ Related Topics:
#android #windows #macos #linux #lazarus #raspberry_pi #ios #text_to_speech #csharp #cpp #dotnet #speech_to_text #aarch64 #mfc #risc_v #object_pascal #asr #arm32 #onnx #vits


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🧠 By: https://t.me/DataScienceM