GitHub Trends
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#cplusplus #c_plus_plus #cassandra #cpp #database #nosql #scylla #seastar

Scylla is a powerful database that works like Apache Cassandra and Amazon DynamoDB but is much faster and uses less hardware. It helps by increasing data processing speed and reducing costs. To use Scylla, you can easily build it with a pre-configured toolchain that doesn't require changing your machine settings. You can also find detailed guides, training courses, and community support to help you get started and manage Scylla effectively. This makes it easier to handle big data efficiently.

https://github.com/scylladb/scylladb
#go #brute_force #bruteforce #exploit #fingerprint #pentest #red_team #redteam #scanner #security #webscan

Kscan is a powerful and lightweight scanner tool developed in Go. It offers several key features that benefit users Kscan can perform port scanning, protocol detection, fingerprint recognition, and brute-force cracking.
- **Versatile Input** Unlike other tools, Kscan prioritizes accuracy and comprehensiveness over speed, ensuring high-quality protocol and application layer identification.
- **Multiple Modes** Users can customize settings like proxy usage, thread count, and output formats to suit their needs.

Overall, Kscan provides a robust and flexible tool for security professionals and learners to conduct thorough scans and detections efficiently.

https://github.com/lcvvvv/kscan
#typescript #agent_monitoring #analytics #evaluation #gpt #langchain #large_language_models #llama_index #llm #llm_cost #llm_evaluation #llm_observability #llmops #monitoring #open_source #openai #playground #prompt_engineering #prompt_management #ycombinator

Helicone is an all-in-one, open-source platform for developing and managing Large Language Models (LLMs). It allows you to integrate with various LLM providers like OpenAI, Anthropic, and more with just one line of code. You can observe and debug your model's performance, analyze metrics such as cost and latency, and fine-tune your models easily. The platform also offers a playground to test and iterate on prompts and sessions, and it supports prompt management and automatic evaluations. Helicone is enterprise-ready, compliant with SOC 2 and GDPR, and offers a generous free tier of 100k requests per month. This makes it easier to manage and optimize your LLM projects efficiently.

https://github.com/Helicone/helicone
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#python

Genesis is a powerful tool for robotics and AI that makes it easier to simulate real-world physics. It is fast, user-friendly, and works on many different computers and operating systems. Genesis can simulate various materials and objects, like liquids, gases, and deformable objects, and it supports photorealistic rendering. It also generates data automatically, which saves time and effort. The main benefits are that it lowers the barrier to using physics simulations, unifies different physics solvers into one framework, and minimizes human effort in data collection. This makes it easier for everyone to conduct robotics research and create realistic virtual worlds.

https://github.com/Genesis-Embodied-AI/Genesis
#other #awesome #awesome_list #cursor #cursor_ai_editor #cursorrules

Using `.cursorrules` files with Cursor AI can significantly improve your coding experience. These files allow you to customize the AI's behavior to fit your project's specific needs, ensuring more relevant and accurate code suggestions. Here are the key benefits Tailor the AI's responses to your project's requirements.
- **Consistency** Provide the AI with important context about your project, leading to more informed code generation.
- **Improved Productivity** Ensure consistent AI assistance across team members.
- **Project-Specific Knowledge**: Include unique project details for better suggestions.

By adding a `.cursorrules` file to your project, you can enhance your coding efficiency and accuracy.

https://github.com/PatrickJS/awesome-cursorrules
#swift

GitHub Copilot for Xcode is a tool that helps you write code faster and smarter. It gives you coding suggestions as you type in Xcode. To use it, you need macOS 12+, Xcode 8+, and a GitHub Copilot subscription. You can install it using Homebrew or by downloading the DMG file. After installation, you need to give it some permissions and sign in with your GitHub account.

The benefit to you is that it makes coding easier and faster by providing helpful suggestions as you work, saving you time and effort.

https://github.com/github/CopilotForXcode
#cplusplus #computer_graphics #differentiable_programming #gpu #gpu_programming #sparse_computation #taichi

Taichi Lang is a powerful programming language for high-performance numerical computations. It is easy to use because it looks a lot like Python, so you don't need to learn a new language. Taichi Lang can run your code on both GPUs and CPUs, making it very fast. It also works on many different platforms, so you can write your code once and run it anywhere. This makes it great for things like real-time simulations, artificial intelligence, and visual effects in films and games. To get started, you can simply install it using `pip install taichi` and start coding right away. This helps you create complex simulations and computations quickly and efficiently.

https://github.com/taichi-dev/taichi
#go #acme #automatic_https #caddy #caddyfile #go #golang #http #http_server #http3 #https #privacy #reverse_proxy #security #tls #web_server

Caddy is a powerful server platform that makes it easy to set up and manage websites with automatic HTTPS. It uses TLS by default, which means your site is always secure. Caddy is easy to configure using a simple file called the Caddyfile or JSON, and it supports multiple protocols like HTTP/1.1, HTTP/2, and HTTP/3. It's highly extensible, meaning you can add features without making the server bulky. Caddy is production-ready, having served trillions of requests and managed millions of TLS certificates. This makes it reliable and scalable for hundreds of thousands of sites. Using Caddy benefits you by providing automatic security, ease of use, and high performance, making your website more secure and efficient.

https://github.com/caddyserver/caddy
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#typescript #csr #framework #full_stack #hacktoberfest #hybrid #node #nuxt #server_rendering #ssg #ssr #static_site_generator #universal #vue

Nuxt is a free and open-source framework that helps you build fast, SEO-friendly, and scalable web applications using Vue.js. It offers features like server-side rendering, automatic routing, data fetching, and SEO optimization. You can extend it with over 200 modules and deploy to various hosting platforms. Nuxt also supports TypeScript with zero configuration and makes it easy to write Vue components intuitively. This framework automates many repetitive tasks, allowing you to focus on developing your application quickly and efficiently. Overall, Nuxt simplifies the process of creating high-performance web applications, saving you time and effort.

https://github.com/nuxt/nuxt
#typescript #components #mobile #ui_kit #ui_library #vant #vue #vue3

Vant is a lightweight and customizable UI library for building mobile web apps with Vue. It offers over 80 high-quality components, each averaging only 1KB in size, and has no third-party dependencies. Vant supports both Vue 2 and Vue 3, as well as Nuxt 2 and Nuxt 3, and includes features like tree shaking, custom themes, dark mode, and accessibility. It also has extensive documentation, demos, and support for multiple languages. This makes it easy to build fast and efficient mobile web applications with a lot of useful features.

https://github.com/youzan/vant
#python #fno #fourier_neural_operator #neural_operator #neural_operators #partial_differential_equations #pde #pytorch #tensor_methods #tensorization #tensorly #uno

The `neuraloperator` library is a powerful tool for learning neural operators in PyTorch. It allows you to learn mappings between function spaces, which is different from regular neural networks. This library is useful because it makes your trained models work with data of any resolution, meaning you don't have to worry about the size of your data. You can easily install it using `pip install neuraloperator` and start training operators right away. The library also offers efficient models like the Tucker Tensorized FNO, which reduces the number of parameters needed, making it faster and more efficient. This helps you train and use complex models more effectively.

https://github.com/neuraloperator/neuraloperator
#go #1panel #cockpit #docker #docker_ui #lamp #linux #lnmp #webmin

1Panel is a free, web-based tool that helps you manage your Linux servers easily. It has a user-friendly interface where you can monitor your server, manage files, databases, and containers. You can quickly set up websites with WordPress and install other useful tools from its application store. 1Panel also focuses on security with features like firewall management and one-click backups to protect your data. This makes managing your server efficient, secure, and straightforward.

https://github.com/1Panel-dev/1Panel
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#python #etl_pipeline #llm_platform #unstructured_data

Unstract is a powerful tool that helps you extract data from unstructured documents using large language models (LLMs). It has a no-code platform where you can easily develop and test prompts to get the data you need. Here’s how it benefits you You can automate the extraction of data from complex documents without needing to write code.
- **Prompt Studio** You can set up workflows in three simple steps to deploy APIs or ETL pipelines, automating critical business processes.
- **Integration with Various Tools**: Unstract supports multiple LLM providers, vector databases, embedding models, and text extractors, making it versatile and compatible with many systems.

Overall, Unstract saves time and effort by simplifying the process of extracting valuable data from unstructured documents.

https://github.com/Zipstack/unstract
#python

PromptWizard is a tool that helps improve how AI models understand and respond to tasks by optimizing the instructions (prompts) given to them. Here’s how it benefits you PromptWizard uses a self-evolving mechanism where the AI generates, critiques, and refines its own prompts and examples, making it better over time.
- **Better Task Performance** You can use PromptWizard with your own datasets and configure it according to your needs, making it versatile for different applications.
- **Detailed Reasoning**: It generates detailed reasoning chains, helping the AI to solve problems more effectively and aligning with human reasoning.

Overall, PromptWizard makes AI models more efficient and accurate by continuously refining the prompts and examples they use.

https://github.com/microsoft/PromptWizard
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#c_lang #layout #ui

Clay is a powerful 2D UI layout library that offers several key benefits Clay provides microsecond layout performance, making it suitable for complex and responsive UIs.
- **Flexible Layouts** The library is contained in a single 2k LOC file (`clay.h`) with zero dependencies, including no standard library.
- **Cross-Platform** It uses static arena-based memory management with low total memory overhead.
- **Declarative Syntax** Users can extend the library with custom elements and configurations.

To get started, you need to include `clay.h`, define the necessary memory arena, set up the layout dimensions, and begin declaring your UI elements using the provided macros. This makes Clay a versatile and efficient tool for building complex UIs.

https://github.com/nicbarker/clay
#html #ai #aitest #gpt #react #testing #typescript #web

Midscene.js is a tool that uses AI to automate tasks on web pages. You can tell it what to do using simple language, and it will control the page, check things, and give you data in JSON format. It's easy to use because you don't need to write complex code; just describe what you want, and it will do it. You also get visual reports to help you understand and fix any issues. This makes automation much simpler and more enjoyable.

https://github.com/web-infra-dev/midscene
#mdx #css #css_questions #front_end #front_end_development #front_end_interview #front_end_system_design #html #html_questions #interview #interview_preparation #interview_questions #interview_test #javascript #js_questions #web_development

The Front End Interview Handbook is a resource to help you prepare for front-end developer job interviews. It covers various aspects like HTML, CSS, JavaScript, and system design, with different types of questions and formats used by different companies. You can practice with over 200 questions and automated test cases on the GreatFrontEnd platform, which also offers study plans, focus areas, and preparation stages tailored to your needs. This handbook is available in multiple languages and can significantly improve your chances of acing a front-end interview.

https://github.com/yangshun/front-end-interview-handbook
#html

Nullboard is a simple and quick task list manager that you can use online or offline. It stores your data locally on your device, so you don't have to worry about cloud storage. You can easily add, edit, and move notes around, and even export or import your data as plain text. The interface is clean and minimal, with features like automatic saving, undo/redo, and customizable themes. This tool is great because it's easy to use, keeps your data safe locally, and offers a lot of flexibility in how you organize your tasks.

https://github.com/apankrat/nullboard
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#typescript #test #testing_tools #vite

Vitest is a powerful testing framework that uses Vite, making your tests run faster and more efficiently. It offers many features like instant watch mode, native code coverage, and built-in support for Chai and Jest snapshot testing. You can also test components in the browser and use workers for multi-threading. Vitest supports TypeScript, JSX, and has out-of-the-box features for filtering, timeouts, and concurrent testing. This makes it easier and faster to write and run tests, saving you time and improving your development process.

https://github.com/vitest-dev/vitest
#python

Monolith is a tool for making recommendations, like suggesting movies or products, using deep learning. It has two key features: it ensures each item has a unique identity and can learn new preferences in real time. This helps users discover new things quickly. Monolith works with TensorFlow and supports both batch and real-time training. For users, this means they get more accurate and up-to-date recommendations, helping them find what they might like faster.

https://github.com/bytedance/monolith
#java

Trouser-Streak is a collection of modules for Meteor Client that enhances your Minecraft experience, especially for griefing and utility purposes. It includes features like automatic staircase building, lava casting, base finding, and various exploitation tools. These modules can help you detect hidden bases, automate repetitive tasks, and even crash or manipulate servers. The benefits include improved efficiency in griefing activities, enhanced creativity with automated building tools, and better detection of hidden structures. Additionally, it has a community support system through a Discord server for updates and help.

https://github.com/etianl/Trouser-Streak