#typescript #betterstack #boilerplate #clerk #dark_mode #feature_flags #neon #nextjs #posthog #prisma #react #sentry #seo #stripe #tailwindcss #typescript
Next-forge is a ready-to-use template for building Next.js web applications. It gives you a strong foundation to start your project with minimal setup needed. You can easily create your project by cloning the repository using a simple command. This saves you time and effort, allowing you to focus on developing your app instead of setting everything up from scratch. Check the documentation for more details to get started quickly.
https://github.com/haydenbleasel/next-forge
Next-forge is a ready-to-use template for building Next.js web applications. It gives you a strong foundation to start your project with minimal setup needed. You can easily create your project by cloning the repository using a simple command. This saves you time and effort, allowing you to focus on developing your app instead of setting everything up from scratch. Check the documentation for more details to get started quickly.
https://github.com/haydenbleasel/next-forge
GitHub
GitHub - vercel/next-forge: Production-grade Turborepo template for Next.js apps.
Production-grade Turborepo template for Next.js apps. - vercel/next-forge
#typescript #ai #api #api_gateway #chat #chatgpt #cross_platform #gemini #golang #openai #proxy #react
Chat Nio is a powerful tool that combines advanced AI features with a user-friendly interface. It supports multiple AI models like OpenAI, Anthropic, and Midjourney, and offers features such as rich model support, beautiful UI design, complete Markdown support, and text-to-image generation. It also includes powerful conversation sync, file parsing, and full model internet search capabilities. Users can benefit from multi-theme support, internationalization, and innovative model caching to reduce costs. Additionally, it has comprehensive backend management, multiple billing methods, and excellent channel management. This makes Chat Nio ideal for businesses looking for a one-stop solution for their AI needs, enhancing user experience and reducing learning costs.
https://github.com/zmh-program/chatnio
Chat Nio is a powerful tool that combines advanced AI features with a user-friendly interface. It supports multiple AI models like OpenAI, Anthropic, and Midjourney, and offers features such as rich model support, beautiful UI design, complete Markdown support, and text-to-image generation. It also includes powerful conversation sync, file parsing, and full model internet search capabilities. Users can benefit from multi-theme support, internationalization, and innovative model caching to reduce costs. Additionally, it has comprehensive backend management, multiple billing methods, and excellent channel management. This makes Chat Nio ideal for businesses looking for a one-stop solution for their AI needs, enhancing user experience and reducing learning costs.
https://github.com/zmh-program/chatnio
GitHub
GitHub - coaidev/coai: 🚀 Next Generation AI One-Stop Internationalization Solution. 🚀 下一代 AI 一站式 B/C 端解决方案,支持 OpenAI,Midjourne…
🚀 Next Generation AI One-Stop Internationalization Solution. 🚀 下一代 AI 一站式 B/C 端解决方案,支持 OpenAI,Midjourney,Claude,讯飞星火,Stable Diffusion,DALL·E,ChatGLM,通义千问,腾讯混元,360 智脑,百川 AI,火山方舟,新必应,Gemini,Moonshot ...
#python #ai #cv #data_analytics #data_wrangling #embeddings #llm #llm_eval #machine_learning #mlops #multimodal
DataChain is a powerful tool for managing and processing large amounts of data, especially useful for artificial intelligence tasks. It helps you organize unstructured data from various sources like cloud storage or local files into structured datasets. You can process this data efficiently using Python, without needing SQL or Spark, and even use local AI models or APIs to enrich your data. Key benefits include parallel processing, out-of-memory computing, and optimized vector searches, making it faster and more efficient. Additionally, DataChain integrates well with popular libraries like PyTorch and TensorFlow, allowing you to easily export data for further analysis or training models. This makes it easier to handle complex data tasks and improves your overall workflow.
https://github.com/iterative/datachain
DataChain is a powerful tool for managing and processing large amounts of data, especially useful for artificial intelligence tasks. It helps you organize unstructured data from various sources like cloud storage or local files into structured datasets. You can process this data efficiently using Python, without needing SQL or Spark, and even use local AI models or APIs to enrich your data. Key benefits include parallel processing, out-of-memory computing, and optimized vector searches, making it faster and more efficient. Additionally, DataChain integrates well with popular libraries like PyTorch and TensorFlow, allowing you to easily export data for further analysis or training models. This makes it easier to handle complex data tasks and improves your overall workflow.
https://github.com/iterative/datachain
GitHub
GitHub - datachain-ai/datachain: Analytics, Versioning and ETL for multimodal data: video, audio, PDFs, images
Analytics, Versioning and ETL for multimodal data: video, audio, PDFs, images - datachain-ai/datachain
#javascript #bootstrap #css #css_framework #html #javascript #sass #scss
Bootstrap is a powerful and easy-to-use front-end framework that helps you build websites faster and more efficiently. It includes pre-made CSS and JavaScript files that you can easily download or install using tools like npm, yarn, or Composer. With Bootstrap, you get sleek and intuitive designs, ready-to-use templates, and extensive documentation to guide you through the process. This makes web development simpler and quicker, saving you time and effort. You can also contribute to Bootstrap by reporting bugs or requesting new features, and there is a strong community support available through various channels like Twitter, GitHub Discussions, and Discord.
https://github.com/twbs/bootstrap
Bootstrap is a powerful and easy-to-use front-end framework that helps you build websites faster and more efficiently. It includes pre-made CSS and JavaScript files that you can easily download or install using tools like npm, yarn, or Composer. With Bootstrap, you get sleek and intuitive designs, ready-to-use templates, and extensive documentation to guide you through the process. This makes web development simpler and quicker, saving you time and effort. You can also contribute to Bootstrap by reporting bugs or requesting new features, and there is a strong community support available through various channels like Twitter, GitHub Discussions, and Discord.
https://github.com/twbs/bootstrap
GitHub
GitHub - twbs/bootstrap: The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects…
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web. - twbs/bootstrap
#llvm
The LLVM project is a toolkit that helps build highly optimized compilers, optimizers, and run-time environments. It includes tools like an assembler, disassembler, and bitcode optimizer. LLVM supports C-like languages through the Clang frontend and also includes components like the libc++ standard library and the LLD linker. Using LLVM, developers can create efficient and optimized code, which benefits users by making their software run faster and more reliably. You can get involved by contributing to the project or joining community forums for support.
https://github.com/llvm/llvm-project
The LLVM project is a toolkit that helps build highly optimized compilers, optimizers, and run-time environments. It includes tools like an assembler, disassembler, and bitcode optimizer. LLVM supports C-like languages through the Clang frontend and also includes components like the libc++ standard library and the LLD linker. Using LLVM, developers can create efficient and optimized code, which benefits users by making their software run faster and more reliably. You can get involved by contributing to the project or joining community forums for support.
https://github.com/llvm/llvm-project
GitHub
GitHub - llvm/llvm-project: The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. - llvm/llvm-project
#go #bundler #commonjs #compiler #css #esm #javascript #jsx #minifier #react #tsx #typescript
Esbuild is a very fast JavaScript bundler that makes building web projects much quicker. It is 10-100 times faster than other tools and doesn't need a cache to be fast. Esbuild supports JavaScript, CSS, TypeScript, and JSX, and it has a simple API for using it in different ways. It can bundle different types of modules, minimize code, and create source maps. It also has features like a local server, watch mode, and plugins. Using esbuild can save you a lot of time when working on web projects.
https://github.com/evanw/esbuild
Esbuild is a very fast JavaScript bundler that makes building web projects much quicker. It is 10-100 times faster than other tools and doesn't need a cache to be fast. Esbuild supports JavaScript, CSS, TypeScript, and JSX, and it has a simple API for using it in different ways. It can bundle different types of modules, minimize code, and create source maps. It also has features like a local server, watch mode, and plugins. Using esbuild can save you a lot of time when working on web projects.
https://github.com/evanw/esbuild
GitHub
GitHub - evanw/esbuild: An extremely fast bundler for the web
An extremely fast bundler for the web. Contribute to evanw/esbuild development by creating an account on GitHub.
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#python #deep_learning #healthcare_imaging #medical_image_computing #medical_image_processing #monai #python3 #pytorch
MONAI is a free and open-source tool for using deep learning in healthcare imaging. It is based on PyTorch and helps researchers and scientists create and evaluate deep learning models easily. MONAI offers flexible preprocessing for medical images, easy-to-use APIs, and support for multiple GPUs and nodes. This makes it easier to integrate into existing workflows and allows users of different expertise levels to use it. You can install MONAI simply by running `pip install monai` and find tutorials and documentation on their website. Using MONAI can help you develop state-of-the-art healthcare imaging models quickly and efficiently.
https://github.com/Project-MONAI/MONAI
MONAI is a free and open-source tool for using deep learning in healthcare imaging. It is based on PyTorch and helps researchers and scientists create and evaluate deep learning models easily. MONAI offers flexible preprocessing for medical images, easy-to-use APIs, and support for multiple GPUs and nodes. This makes it easier to integrate into existing workflows and allows users of different expertise levels to use it. You can install MONAI simply by running `pip install monai` and find tutorials and documentation on their website. Using MONAI can help you develop state-of-the-art healthcare imaging models quickly and efficiently.
https://github.com/Project-MONAI/MONAI
GitHub
GitHub - Project-MONAI/MONAI: AI Toolkit for Healthcare Imaging
AI Toolkit for Healthcare Imaging. Contribute to Project-MONAI/MONAI development by creating an account on GitHub.
#typescript #api_testing #code_coverage #component_testing #cypress #end_to_end_testing #testing #testing_practices
This application is a real-world example to help you learn and practice testing with Cypress. It's a full-stack app built with React, Express, and other technologies, and it includes local authentication, database seeding, and end-to-end tests. You can easily set it up on your machine by cloning the repository, installing dependencies with Yarn, and running the app. The app comes with pre-configured tests and code coverage reports, making it ideal for learning and experimenting with Cypress testing methods. This helps you understand how to test real-world applications effectively.
https://github.com/cypress-io/cypress-realworld-app
This application is a real-world example to help you learn and practice testing with Cypress. It's a full-stack app built with React, Express, and other technologies, and it includes local authentication, database seeding, and end-to-end tests. You can easily set it up on your machine by cloning the repository, installing dependencies with Yarn, and running the app. The app comes with pre-configured tests and code coverage reports, making it ideal for learning and experimenting with Cypress testing methods. This helps you understand how to test real-world applications effectively.
https://github.com/cypress-io/cypress-realworld-app
GitHub
GitHub - cypress-io/cypress-realworld-app: A payment application to demonstrate real-world usage of Cypress testing methods, patterns…
A payment application to demonstrate real-world usage of Cypress testing methods, patterns, and workflows. - cypress-io/cypress-realworld-app
#cplusplus
The llbc framework is a simple, efficient, and cross-platform tool for server development. It supports multiple languages and is built with C++. Here are the key benefits Works on Windows, Linux, Mac, iOS, and Android.
- **Efficient** You can join a Discord server and contribute to the project.
- **Tools** Open source developers can apply for free JetBrains licenses.
Using llbc can make your server development easier and more efficient.
https://github.com/lailongwei/llbc
The llbc framework is a simple, efficient, and cross-platform tool for server development. It supports multiple languages and is built with C++. Here are the key benefits Works on Windows, Linux, Mac, iOS, and Android.
- **Efficient** You can join a Discord server and contribute to the project.
- **Tools** Open source developers can apply for free JetBrains licenses.
Using llbc can make your server development easier and more efficient.
https://github.com/lailongwei/llbc
GitHub
GitHub - lailongwei/llbc: 一个简洁、高性能、跨平台、多语言支持的服务端开发框架,面向Service及Component,底层c++实现。
一个简洁、高性能、跨平台、多语言支持的服务端开发框架,面向Service及Component,底层c++实现。 - lailongwei/llbc
#vue #douyin #js #tiktok #vue #vue3
This project, `douyin-vue`, is a mobile short video app similar to TikTok, built using the latest Vue technology stack including Vue 3, Vite 5, and Pinia. It offers a smooth and fluent user experience like a native app. The data is stored locally and simulated as if coming from a real backend using `axios-mock-adapter`. You can run it locally or deploy it to various platforms like Vercel or Docker.
The benefit to you is that you can learn and practice advanced Vue techniques by working on this project, and it provides a realistic simulation of a popular video app, making it ideal for educational and research purposes.
https://github.com/zyronon/douyin
This project, `douyin-vue`, is a mobile short video app similar to TikTok, built using the latest Vue technology stack including Vue 3, Vite 5, and Pinia. It offers a smooth and fluent user experience like a native app. The data is stored locally and simulated as if coming from a real backend using `axios-mock-adapter`. You can run it locally or deploy it to various platforms like Vercel or Docker.
The benefit to you is that you can learn and practice advanced Vue techniques by working on this project, and it provides a realistic simulation of a popular video app, making it ideal for educational and research purposes.
https://github.com/zyronon/douyin
GitHub
GitHub - zyronon/douyin: Vue3 + Pinia 仿抖音,Vue 在移动端的最佳实践 . Imitate TikTok ,Vue Best practices on Mobile
Vue3 + Pinia 仿抖音,Vue 在移动端的最佳实践 . Imitate TikTok ,Vue Best practices on Mobile - zyronon/douyin
#java #mini_spring #spring #spring_boot #spring_mvc #springboot #springframework #tiny_spring
**mini-spring** is a simplified version of the Spring framework that helps you quickly understand Spring's source code and core principles. It keeps the essential features of Spring, such as IoC (Inversion of Control), AOP (Aspect-Oriented Programming), resource loading, event listeners, and more, but simplifies the code. This makes it easier for you to learn and master Spring's core functionalities without getting overwhelmed by complex code. Using **mini-spring**, you can quickly grasp how Spring works and apply this knowledge to your own projects.
https://github.com/DerekYRC/mini-spring
**mini-spring** is a simplified version of the Spring framework that helps you quickly understand Spring's source code and core principles. It keeps the essential features of Spring, such as IoC (Inversion of Control), AOP (Aspect-Oriented Programming), resource loading, event listeners, and more, but simplifies the code. This makes it easier for you to learn and master Spring's core functionalities without getting overwhelmed by complex code. Using **mini-spring**, you can quickly grasp how Spring works and apply this knowledge to your own projects.
https://github.com/DerekYRC/mini-spring
GitHub
GitHub - DerekYRC/mini-spring: mini-spring是简化版的spring框架,能帮助你快速熟悉spring源码和掌握spring的核心原理。抽取了spring的核心逻辑,代码极度简化,保留spring的核心功能,如Io…
mini-spring是简化版的spring框架,能帮助你快速熟悉spring源码和掌握spring的核心原理。抽取了spring的核心逻辑,代码极度简化,保留spring的核心功能,如IoC和AOP、资源加载器、事件监听器、类型转换、容器扩展点、bean生命周期和作用域、应用上下文等核心功能。 - GitHub - DerekYRC/mini-spring: mini-spring是简化...
#python #chineseocr #crnn #dbnet #easyocr #ocr #onnxocr #onnxruntime #openvino #paddleocr #rapidocr
RapidOCR is a free, open-source tool that quickly recognizes text from images. It is very fast, supports multiple languages like Chinese and English, and works on various platforms including Linux, Windows, and Mac. You can use it offline, which is convenient. The tool is easy to install and use, and it even allows you to customize it for specific needs. This makes it beneficial for users who need quick and accurate text recognition without relying on internet connectivity.
https://github.com/RapidAI/RapidOCR
RapidOCR is a free, open-source tool that quickly recognizes text from images. It is very fast, supports multiple languages like Chinese and English, and works on various platforms including Linux, Windows, and Mac. You can use it offline, which is convenient. The tool is easy to install and use, and it even allows you to customize it for specific needs. This makes it beneficial for users who need quick and accurate text recognition without relying on internet connectivity.
https://github.com/RapidAI/RapidOCR
GitHub
GitHub - RapidAI/RapidOCR: 📄 Awesome OCR multiple programing languages toolkits based on ONNXRuntime, OpenVINO, PaddlePaddle and…
📄 Awesome OCR multiple programing languages toolkits based on ONNXRuntime, OpenVINO, PaddlePaddle and PyTorch. - RapidAI/RapidOCR
#java #apollo #consul #dubbo #dynamic_threadpool #grpc #java #micrometer #monitor #nacos #rocketmq #spring #springboot #springcloud #thread #threadpool #threadpoolexecutor #zookeeper
This tool, called **DynamicTp**, helps you manage thread pools more efficiently. Here’s how it benefits you You can change thread pool parameters while the system is running, without needing to restart or change code.
- **Real-Time Monitoring** It integrates with common middleware and configuration centers, making it simple to set up and use.
- **Zero Code Invasion** It sends alerts for various conditions like thread activity, queue capacity, and task timeouts, supporting multiple notification platforms.
Overall, DynamicTp makes managing thread pools easier, more flexible, and highly monitorable, which can significantly improve your system's performance and reliability.
https://github.com/dromara/dynamic-tp
This tool, called **DynamicTp**, helps you manage thread pools more efficiently. Here’s how it benefits you You can change thread pool parameters while the system is running, without needing to restart or change code.
- **Real-Time Monitoring** It integrates with common middleware and configuration centers, making it simple to set up and use.
- **Zero Code Invasion** It sends alerts for various conditions like thread activity, queue capacity, and task timeouts, supporting multiple notification platforms.
Overall, DynamicTp makes managing thread pools easier, more flexible, and highly monitorable, which can significantly improve your system's performance and reliability.
https://github.com/dromara/dynamic-tp
GitHub
GitHub - dromara/dynamic-tp: 🔥🔥🔥轻量级动态线程池,内置监控告警功能,集成三方中间件线程池管理,基于主流配置中心(已支持Nacos、Apollo,Zookeeper、Consul、Etcd,可通过SPI自定义实现)。Lightweight…
🔥🔥🔥轻量级动态线程池,内置监控告警功能,集成三方中间件线程池管理,基于主流配置中心(已支持Nacos、Apollo,Zookeeper、Consul、Etcd,可通过SPI自定义实现)。Lightweight dynamic threadpool, with monitoring and alarming functions, base on popular config centers ...
#other #apachespark #awesome #bigdata #data #dataengineering #sql
This handbook is a comprehensive guide to help you become a great data engineer. It provides a roadmap to get started, including hands-on projects, interview tips, and recommended books. You can join various communities and follow newsletters to stay updated. The handbook also lists top companies, blogs, whitepapers, YouTube channels, podcasts, and courses that can help you learn and grow in data engineering. Using these resources, you can gain practical knowledge, network with professionals, and stay informed about the latest trends and technologies in the field. This will help you build a strong foundation and advance your career as a data engineer.
https://github.com/DataExpert-io/data-engineer-handbook
This handbook is a comprehensive guide to help you become a great data engineer. It provides a roadmap to get started, including hands-on projects, interview tips, and recommended books. You can join various communities and follow newsletters to stay updated. The handbook also lists top companies, blogs, whitepapers, YouTube channels, podcasts, and courses that can help you learn and grow in data engineering. Using these resources, you can gain practical knowledge, network with professionals, and stay informed about the latest trends and technologies in the field. This will help you build a strong foundation and advance your career as a data engineer.
https://github.com/DataExpert-io/data-engineer-handbook
GitHub
GitHub - DataExpert-io/data-engineer-handbook: This is a repo with links to everything you'd ever want to learn about data engineering
This is a repo with links to everything you'd ever want to learn about data engineering - DataExpert-io/data-engineer-handbook
#go #ai #augmentation #flourishing #life #work
`fabric` is an open-source tool that helps you use AI to make your life easier. It lets you apply AI to various everyday tasks by using something called "Patterns," which are like pre-made instructions for the AI. You can use `fabric` to summarize long texts, extract important parts from videos or podcasts, write essays, create social media posts, and much more. It's easy to install and set up, and you can even create your own custom Patterns. The tool is designed to help humans work better with AI, making it simpler to integrate AI into your daily life. This makes it easier to manage and use AI prompts without getting overwhelmed by too many options.
https://github.com/danielmiessler/fabric
`fabric` is an open-source tool that helps you use AI to make your life easier. It lets you apply AI to various everyday tasks by using something called "Patterns," which are like pre-made instructions for the AI. You can use `fabric` to summarize long texts, extract important parts from videos or podcasts, write essays, create social media posts, and much more. It's easy to install and set up, and you can even create your own custom Patterns. The tool is designed to help humans work better with AI, making it simpler to integrate AI into your daily life. This makes it easier to manage and use AI prompts without getting overwhelmed by too many options.
https://github.com/danielmiessler/fabric
GitHub
GitHub - danielmiessler/Fabric: Fabric is an open-source framework for augmenting humans using AI. It provides a modular system…
Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere. - dan...
#typescript #alerting #analytics #business_intelligence #dashboard #data_visualization #elasticsearch #go #grafana #hacktoberfest #influxdb #metrics #monitoring #mysql #postgres #prometheus
Grafana is a free tool that helps you monitor and understand your data. You can use it to create graphs, dashboards, and alerts for your metrics and logs. It allows you to mix data from different sources and explore your data in various ways. You can also share dashboards with your team and set up notifications for important changes. This helps you make better decisions based on your data and keeps your team informed. To get started, you can download Grafana and follow the installation guides.
https://github.com/grafana/grafana
Grafana is a free tool that helps you monitor and understand your data. You can use it to create graphs, dashboards, and alerts for your metrics and logs. It allows you to mix data from different sources and explore your data in various ways. You can also share dashboards with your team and set up notifications for important changes. This helps you make better decisions based on your data and keeps your team informed. To get started, you can download Grafana and follow the installation guides.
https://github.com/grafana/grafana
GitHub
GitHub - grafana/grafana: The open and composable observability and data visualization platform. Visualize metrics, logs, and traces…
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many mo...
#javascript #interview_preparation #interview_questions #javascript #javascript_applications #javascript_framework #javascript_interview_questions #react #react_interview_questions #react_native #react_router #react16 #reactjs #redux
React interview questions and answers help you prepare for job interviews by covering various aspects of React, including core concepts, lifecycle methods, state management, and advanced topics. This resource provides detailed explanations and examples to improve your understanding and confidence. It includes links to additional resources like GreatFrontEnd, FrontendLead, and ZeroToMastery courses, enhancing your learning experience. By using this resource, you can ace React interviews and gain a deeper understanding of the framework, making you more competitive in the job market.
https://github.com/sudheerj/reactjs-interview-questions
React interview questions and answers help you prepare for job interviews by covering various aspects of React, including core concepts, lifecycle methods, state management, and advanced topics. This resource provides detailed explanations and examples to improve your understanding and confidence. It includes links to additional resources like GreatFrontEnd, FrontendLead, and ZeroToMastery courses, enhancing your learning experience. By using this resource, you can ace React interviews and gain a deeper understanding of the framework, making you more competitive in the job market.
https://github.com/sudheerj/reactjs-interview-questions
GitHub
GitHub - sudheerj/reactjs-interview-questions: List of top 500 ReactJS Interview Questions & Answers....Coding exercise questions…
List of top 500 ReactJS Interview Questions & Answers....Coding exercise questions are coming soon!! - sudheerj/reactjs-interview-questions
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#go #database #go #mariadb #mysql #mysql_driver #sql
The Go-MySQL-Driver is a lightweight and fast MySQL driver for Go, written purely in Go without any C bindings. It supports connections over TCP/IPv4, IPv6, Unix domain sockets, and custom protocols. Here are the key benefits You can install it using `go get -u github.com/go-sql-driver/mysql`.
- **Automatic Connection Handling** You can configure various settings like timeouts, charset, collation, and more through the Data Source Name (DSN).
- **Advanced Features** It automatically uses utf8mb4_general_ci by default and allows setting other charsets and collations.
Using this driver simplifies interacting with MySQL databases in Go, providing a robust and configurable solution.
https://github.com/go-sql-driver/mysql
The Go-MySQL-Driver is a lightweight and fast MySQL driver for Go, written purely in Go without any C bindings. It supports connections over TCP/IPv4, IPv6, Unix domain sockets, and custom protocols. Here are the key benefits You can install it using `go get -u github.com/go-sql-driver/mysql`.
- **Automatic Connection Handling** You can configure various settings like timeouts, charset, collation, and more through the Data Source Name (DSN).
- **Advanced Features** It automatically uses utf8mb4_general_ci by default and allows setting other charsets and collations.
Using this driver simplifies interacting with MySQL databases in Go, providing a robust and configurable solution.
https://github.com/go-sql-driver/mysql
GitHub
GitHub - go-sql-driver/mysql: Go MySQL Driver is a MySQL driver for Go's (golang) database/sql package
Go MySQL Driver is a MySQL driver for Go's (golang) database/sql package - go-sql-driver/mysql
#go #distributed_tracing #grafana
Grafana Tempo is a free, easy-to-use tool for tracking how different parts of your system interact. It works well with other tools like Grafana, Prometheus, and Loki, and it can handle data from various formats. Tempo is cost-efficient because it only needs object storage to run, making it cheap and robust. It also has a powerful query language called TraceQL that lets you easily find specific data. You can get started quickly with guides and examples, and there are community forums and Slack channels if you need help. This makes it easier for you to monitor and understand your system's performance.
https://github.com/grafana/tempo
Grafana Tempo is a free, easy-to-use tool for tracking how different parts of your system interact. It works well with other tools like Grafana, Prometheus, and Loki, and it can handle data from various formats. Tempo is cost-efficient because it only needs object storage to run, making it cheap and robust. It also has a powerful query language called TraceQL that lets you easily find specific data. You can get started quickly with guides and examples, and there are community forums and Slack channels if you need help. This makes it easier for you to monitor and understand your system's performance.
https://github.com/grafana/tempo
GitHub
GitHub - grafana/tempo: Grafana Tempo is a high volume, minimal dependency distributed tracing backend.
Grafana Tempo is a high volume, minimal dependency distributed tracing backend. - grafana/tempo
#csharp #blazor #blazor_client #blazor_components #blazor_server #blazor_webassembly #component #component_library #components #csharp #hacktoberfest #material #netcore #wasm
MudBlazor is a tool for .NET developers to build web applications easily using Material Design components. It's written entirely in C#, so you don't need to know CSS or JavaScript to use it. This framework is well-organized, has good documentation with many examples, and is stable with regular updates. You can create beautiful apps quickly without dependencies on other libraries, giving you full control over the components. To get started, you just need to install the package, add some lines of code to your project, and you're ready to go. This makes it easier and faster to develop web applications.
https://github.com/MudBlazor/MudBlazor
MudBlazor is a tool for .NET developers to build web applications easily using Material Design components. It's written entirely in C#, so you don't need to know CSS or JavaScript to use it. This framework is well-organized, has good documentation with many examples, and is stable with regular updates. You can create beautiful apps quickly without dependencies on other libraries, giving you full control over the components. To get started, you just need to install the package, add some lines of code to your project, and you're ready to go. This makes it easier and faster to develop web applications.
https://github.com/MudBlazor/MudBlazor
GitHub
GitHub - MudBlazor/MudBlazor: Blazor Component Library based on Material Design principles with an emphasis on ease of use and…
Blazor Component Library based on Material Design principles with an emphasis on ease of use and extensibility - MudBlazor/MudBlazor
#csharp
The Microsoft Cognitive Services Speech SDK allows you to add speech-enabled features to your apps. It supports various programming languages like C++, C#, Java, JavaScript, and more. You can use it for speech recognition, translation, and synthesis across different platforms such as Windows, Linux, Android, and iOS. The SDK provides numerous samples and quickstarts to help you get started quickly with features like one-shot speech recognition, translation, and synthesis. These samples are easy to download and run, and they include detailed instructions for setup and execution. Using this SDK, you can enhance your applications with powerful speech capabilities, making them more interactive and user-friendly.
https://github.com/Azure-Samples/cognitive-services-speech-sdk
The Microsoft Cognitive Services Speech SDK allows you to add speech-enabled features to your apps. It supports various programming languages like C++, C#, Java, JavaScript, and more. You can use it for speech recognition, translation, and synthesis across different platforms such as Windows, Linux, Android, and iOS. The SDK provides numerous samples and quickstarts to help you get started quickly with features like one-shot speech recognition, translation, and synthesis. These samples are easy to download and run, and they include detailed instructions for setup and execution. Using this SDK, you can enhance your applications with powerful speech capabilities, making them more interactive and user-friendly.
https://github.com/Azure-Samples/cognitive-services-speech-sdk
GitHub
GitHub - Azure-Samples/cognitive-services-speech-sdk: Sample code for the Microsoft Cognitive Services Speech SDK
Sample code for the Microsoft Cognitive Services Speech SDK - Azure-Samples/cognitive-services-speech-sdk
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