#python #chatbi #deepseek #llm #nl2sql #rag #sqlbot #text_to_sql #text2sql
SQLBot is an easy-to-use intelligent system that turns natural language questions into SQL queries using advanced AI models and retrieval-augmented generation (RAG). You just need to set up your AI model and data source to start asking questions about your data. It integrates smoothly with other business systems and AI platforms, making it simple to add smart data querying to your apps. It also ensures data security with workspace-based resource isolation and fine-grained access control. You can quickly deploy it on a Linux server using Docker, enabling fast, secure, and intelligent data interaction without needing deep SQL knowledge. This saves you time and improves data accessibility.
https://github.com/dataease/SQLBot
SQLBot is an easy-to-use intelligent system that turns natural language questions into SQL queries using advanced AI models and retrieval-augmented generation (RAG). You just need to set up your AI model and data source to start asking questions about your data. It integrates smoothly with other business systems and AI platforms, making it simple to add smart data querying to your apps. It also ensures data security with workspace-based resource isolation and fine-grained access control. You can quickly deploy it on a Linux server using Docker, enabling fast, secure, and intelligent data interaction without needing deep SQL knowledge. This saves you time and improves data accessibility.
https://github.com/dataease/SQLBot
GitHub
GitHub - dataease/SQLBot: 🔥 基于大模型和 RAG 的智能问数系统,对话式数据分析神器。Text-to-SQL Generation via LLMs using RAG.
🔥 基于大模型和 RAG 的智能问数系统,对话式数据分析神器。Text-to-SQL Generation via LLMs using RAG. - dataease/SQLBot
#php #framework #pest #php #testing
Pest is a modern, simple, and elegant PHP testing framework designed to make writing and running tests easy and enjoyable. It offers a clean, readable syntax inspired by popular tools like RSpec and Jest, helping you write clear and maintainable tests quickly. Pest includes powerful features such as built-in browser testing, fast parallel test runs, detailed error messages, and code coverage reports, all in one tool. This means you can confidently ensure your PHP applications work correctly while saving time and improving code quality, whether you’re working on small projects or large applications.
https://github.com/pestphp/pest
Pest is a modern, simple, and elegant PHP testing framework designed to make writing and running tests easy and enjoyable. It offers a clean, readable syntax inspired by popular tools like RSpec and Jest, helping you write clear and maintainable tests quickly. Pest includes powerful features such as built-in browser testing, fast parallel test runs, detailed error messages, and code coverage reports, all in one tool. This means you can confidently ensure your PHP applications work correctly while saving time and improving code quality, whether you’re working on small projects or large applications.
https://github.com/pestphp/pest
GitHub
GitHub - pestphp/pest: Pest is an elegant PHP testing Framework with a focus on simplicity, meticulously designed to bring back…
Pest is an elegant PHP testing Framework with a focus on simplicity, meticulously designed to bring back the joy of testing in PHP. - pestphp/pest
#shell #cassowary #docker #freerdp #gnome #hacktoberfest #integration #kde #libvirt #linux #linux_app #nautilus #nix_flake #podman #qemu #qemu_kvm #seamless #winapps #windows #wine #xfce
You can run Windows applications like Microsoft Office and Adobe Creative Cloud directly on your Linux desktop (KDE, GNOME, or XFCE) as if they were native apps using WinApps. It works by running Windows inside a virtual machine (using Docker, Podman, or libvirt) and then showing Windows apps seamlessly on Linux with FreeRDP. Your Linux home folder is accessible in Windows, and you can right-click files in Linux to open them with Windows apps. This lets you use all Windows programs without leaving Linux, improving productivity and convenience without needing dual boot or separate hardware.
https://github.com/winapps-org/winapps
You can run Windows applications like Microsoft Office and Adobe Creative Cloud directly on your Linux desktop (KDE, GNOME, or XFCE) as if they were native apps using WinApps. It works by running Windows inside a virtual machine (using Docker, Podman, or libvirt) and then showing Windows apps seamlessly on Linux with FreeRDP. Your Linux home folder is accessible in Windows, and you can right-click files in Linux to open them with Windows apps. This lets you use all Windows programs without leaving Linux, improving productivity and convenience without needing dual boot or separate hardware.
https://github.com/winapps-org/winapps
GitHub
GitHub - winapps-org/winapps: Run Windows apps such as Microsoft Office/Adobe in Linux (Ubuntu/Fedora) and GNOME/KDE as if they…
Run Windows apps such as Microsoft Office/Adobe in Linux (Ubuntu/Fedora) and GNOME/KDE as if they were a part of the native OS, including Nautilus integration. Hard fork of https://github.com/Fmst...
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#typescript
Mesh2Motion is a free, open-source web app that lets you easily animate 3D models, including humans, four-legged animals, and birds. You upload a GLB/GLTF model, choose a skeleton type, adjust it to fit your model, test animations, and then export your animated model. It supports multiple animations and works well for web or game projects. You can run it online or locally using Node.js or Docker. The open-source nature means it can grow with community help, and animators can contribute new animations. This tool offers a flexible, cost-free way to bring 3D models to life without needing expensive software.
https://github.com/scottpetrovic/mesh2motion-app
Mesh2Motion is a free, open-source web app that lets you easily animate 3D models, including humans, four-legged animals, and birds. You upload a GLB/GLTF model, choose a skeleton type, adjust it to fit your model, test animations, and then export your animated model. It supports multiple animations and works well for web or game projects. You can run it online or locally using Node.js or Docker. The open-source nature means it can grow with community help, and animators can contribute new animations. This tool offers a flexible, cost-free way to bring 3D models to life without needing expensive software.
https://github.com/scottpetrovic/mesh2motion-app
GitHub
GitHub - Mesh2Motion/mesh2motion-app: Import a 3D Model and automatically assign and export animations
Import a 3D Model and automatically assign and export animations - Mesh2Motion/mesh2motion-app
#python
Nemo RL is a powerful and scalable library that helps you efficiently train and fine-tune large AI models, from small ones on a single GPU to huge models with over 100 billion parameters using thousands of GPUs. It integrates easily with Hugging Face models and uses NVIDIA’s Megatron Core for fast, optimized training with advanced parallelism, making it ideal for very large models and long sequences. It supports various reinforcement learning algorithms and fine-tuning methods, offers flexible resource management with Ray, and provides detailed, user-friendly documentation and examples. This means you can train state-of-the-art AI models faster and more reliably, even at massive scale, with less hassle.
https://github.com/NVIDIA-NeMo/RL
Nemo RL is a powerful and scalable library that helps you efficiently train and fine-tune large AI models, from small ones on a single GPU to huge models with over 100 billion parameters using thousands of GPUs. It integrates easily with Hugging Face models and uses NVIDIA’s Megatron Core for fast, optimized training with advanced parallelism, making it ideal for very large models and long sequences. It supports various reinforcement learning algorithms and fine-tuning methods, offers flexible resource management with Ray, and provides detailed, user-friendly documentation and examples. This means you can train state-of-the-art AI models faster and more reliably, even at massive scale, with less hassle.
https://github.com/NVIDIA-NeMo/RL
GitHub
GitHub - NVIDIA-NeMo/RL: Scalable toolkit for efficient model reinforcement
Scalable toolkit for efficient model reinforcement - NVIDIA-NeMo/RL
#python #agentic_coding #llm_agent
DeepCode is an AI-powered platform that automates turning research papers, text, and URLs into high-quality, production-ready code for algorithms, front-end, and back-end development. It uses a multi-agent system to analyze complex documents, plan code structure, find relevant code references, and generate tested, documented code efficiently. You can interact with it via a user-friendly web interface or a professional command-line interface. This saves you time and effort by automating complex coding tasks, speeding up development, and reducing errors, letting you focus on innovation rather than manual coding details. It supports integration with popular tools and offers real-time progress tracking.
https://github.com/HKUDS/DeepCode
DeepCode is an AI-powered platform that automates turning research papers, text, and URLs into high-quality, production-ready code for algorithms, front-end, and back-end development. It uses a multi-agent system to analyze complex documents, plan code structure, find relevant code references, and generate tested, documented code efficiently. You can interact with it via a user-friendly web interface or a professional command-line interface. This saves you time and effort by automating complex coding tasks, speeding up development, and reducing errors, letting you focus on innovation rather than manual coding details. It supports integration with popular tools and offers real-time progress tracking.
https://github.com/HKUDS/DeepCode
GitHub
GitHub - HKUDS/DeepCode: "DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)"
"DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)" - HKUDS/DeepCode
#python #comfyui #diffusion #flux #genai #mlsys #quantization
Nunchaku is a fast and efficient engine that runs 4-bit neural networks using a special method called SVDQuant, which compresses models to use less memory and speed up processing by 2 to 5 times compared to older methods. It supports advanced AI models for tasks like high-quality text-to-image generation and image editing, working best on modern NVIDIA GPUs. You can easily install and use it with ComfyUI, and it has active community support on Slack, Discord, and WeChat. This means you can generate or edit images quickly with less computing power, saving time and resources. It also offers tutorials and example workflows to help you get started smoothly.
https://github.com/nunchaku-tech/ComfyUI-nunchaku
Nunchaku is a fast and efficient engine that runs 4-bit neural networks using a special method called SVDQuant, which compresses models to use less memory and speed up processing by 2 to 5 times compared to older methods. It supports advanced AI models for tasks like high-quality text-to-image generation and image editing, working best on modern NVIDIA GPUs. You can easily install and use it with ComfyUI, and it has active community support on Slack, Discord, and WeChat. This means you can generate or edit images quickly with less computing power, saving time and resources. It also offers tutorials and example workflows to help you get started smoothly.
https://github.com/nunchaku-tech/ComfyUI-nunchaku
GitHub
GitHub - nunchaku-tech/ComfyUI-nunchaku: ComfyUI Plugin of Nunchaku
ComfyUI Plugin of Nunchaku. Contribute to nunchaku-tech/ComfyUI-nunchaku development by creating an account on GitHub.
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#python #download_music #hacktoberfest #mp3 #music #playlists #python #song #song_lyrics #spotdl #spotdl_cli #spotify #youtube_music
spotDL is a fast, easy tool that downloads songs from Spotify playlists by finding them on YouTube, including album art, lyrics, and metadata. You install it via Python’s pip and need FFmpeg for audio processing. It works mainly through the command line and supports batch downloads, syncing playlists, and updating metadata. Audio quality is up to 128 kbps for free users and 256 kbps for YouTube Music Premium users. This tool helps you get your Spotify music offline with metadata, but the quality depends on YouTube sources. It’s great if you want a free, quick way to save Spotify songs with details included.
https://github.com/spotDL/spotify-downloader
spotDL is a fast, easy tool that downloads songs from Spotify playlists by finding them on YouTube, including album art, lyrics, and metadata. You install it via Python’s pip and need FFmpeg for audio processing. It works mainly through the command line and supports batch downloads, syncing playlists, and updating metadata. Audio quality is up to 128 kbps for free users and 256 kbps for YouTube Music Premium users. This tool helps you get your Spotify music offline with metadata, but the quality depends on YouTube sources. It’s great if you want a free, quick way to save Spotify songs with details included.
https://github.com/spotDL/spotify-downloader
GitHub
GitHub - spotDL/spotify-downloader: Download your Spotify playlists and songs along with album art and metadata (from YouTube if…
Download your Spotify playlists and songs along with album art and metadata (from YouTube if a match is found). - spotDL/spotify-downloader
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#python
Related Website Sets (RWS) let companies declare which of their websites are related, so browsers like Chrome can allow limited sharing of cookies across these sites. This helps keep features like staying signed in or remembering your shopping cart working smoothly when you move between related sites, even as browsers block most third-party cookies to protect your privacy. By submitting their sites as a set, companies ensure a better, more seamless experience for you without losing privacy protections. This system balances user convenience with privacy by controlling when cross-site data is shared.
https://github.com/GoogleChrome/related-website-sets
Related Website Sets (RWS) let companies declare which of their websites are related, so browsers like Chrome can allow limited sharing of cookies across these sites. This helps keep features like staying signed in or remembering your shopping cart working smoothly when you move between related sites, even as browsers block most third-party cookies to protect your privacy. By submitting their sites as a set, companies ensure a better, more seamless experience for you without losing privacy protections. This system balances user convenience with privacy by controlling when cross-site data is shared.
https://github.com/GoogleChrome/related-website-sets
GitHub
GitHub - GoogleChrome/related-website-sets: Note: This repository will be archived and will no longer accept new submissions.
Note: This repository will be archived and will no longer accept new submissions. - GoogleChrome/related-website-sets
#python
Verifiers is a tool that helps create environments for training large language models (LLMs) using reinforcement learning (RL). It includes features like async GRPO training and integration with other frameworks. This tool is useful for building and evaluating LLMs in various tasks, such as creating synthetic data or using tools within models. It supports both single-turn and multi-turn interactions, making it versatile for different applications. By using Verifiers, users can efficiently train and evaluate LLMs, which can improve their performance and accuracy in tasks like answering questions or generating text.
https://github.com/willccbb/verifiers
Verifiers is a tool that helps create environments for training large language models (LLMs) using reinforcement learning (RL). It includes features like async GRPO training and integration with other frameworks. This tool is useful for building and evaluating LLMs in various tasks, such as creating synthetic data or using tools within models. It supports both single-turn and multi-turn interactions, making it versatile for different applications. By using Verifiers, users can efficiently train and evaluate LLMs, which can improve their performance and accuracy in tasks like answering questions or generating text.
https://github.com/willccbb/verifiers
GitHub
GitHub - PrimeIntellect-ai/verifiers: Our library for RL environments + evals
Our library for RL environments + evals. Contribute to PrimeIntellect-ai/verifiers development by creating an account on GitHub.
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#javascript #ai #anthropic #chatbots #chatgpt #claude #gemini #generative_ai #google_deepmind #large_language_models #llm #openai #prompt_engineering #prompt_injection #prompts
There is a collection of system prompts used by popular chatbots like ChatGPT and others. These prompts are instructions that guide how chatbots respond. They are now available publicly on GitHub, which can be very helpful for users. By seeing these prompts, users can understand how chatbots work and even learn how to create their own AI tools. This can help developers build better AI applications and improve their understanding of AI technology.
https://github.com/asgeirtj/system_prompts_leaks
There is a collection of system prompts used by popular chatbots like ChatGPT and others. These prompts are instructions that guide how chatbots respond. They are now available publicly on GitHub, which can be very helpful for users. By seeing these prompts, users can understand how chatbots work and even learn how to create their own AI tools. This can help developers build better AI applications and improve their understanding of AI technology.
https://github.com/asgeirtj/system_prompts_leaks
GitHub
GitHub - asgeirtj/system_prompts_leaks: Collection of extracted System Prompts from popular chatbots like ChatGPT, Claude & Gemini
Collection of extracted System Prompts from popular chatbots like ChatGPT, Claude & Gemini - asgeirtj/system_prompts_leaks
#lua #layout #lua #neovim #neovim_plugin #neovim_ui #nvim #plugin #scratchpad #ui #ux #zen_mode #zenmode
The no-neck-pain.nvim plugin for Neovim centers your active editing window by adding empty buffers on each side, creating padding that keeps your focus in the middle of the screen. It works right away without setup, supports multiple tabs, split windows, and integrates with popular file tree and dashboard plugins. You can customize its width, colors, and behavior, and even use the side buffers as scratchpads for notes. This helps reduce neck strain and improves focus, especially on wide monitors, by keeping your code or text centered and easy to read without distractions.
https://github.com/shortcuts/no-neck-pain.nvim
The no-neck-pain.nvim plugin for Neovim centers your active editing window by adding empty buffers on each side, creating padding that keeps your focus in the middle of the screen. It works right away without setup, supports multiple tabs, split windows, and integrates with popular file tree and dashboard plugins. You can customize its width, colors, and behavior, and even use the side buffers as scratchpads for notes. This helps reduce neck strain and improves focus, especially on wide monitors, by keeping your code or text centered and easy to read without distractions.
https://github.com/shortcuts/no-neck-pain.nvim
GitHub
GitHub - shortcuts/no-neck-pain.nvim: ☕ Dead simple yet super extensible zen mode plugin to protect your neck.
☕ Dead simple yet super extensible zen mode plugin to protect your neck. - shortcuts/no-neck-pain.nvim
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#vim_script #hacktoberfest #personal_organizer #vim #vim_plugin #vimwiki #wiki
VimWiki is a personal wiki plugin for Vim that helps you organize notes, manage to-do lists, write diaries, and create linked text files with easy navigation using simple key commands like `<Leader>ww`. It supports multiple markup syntaxes (VimWiki, Markdown, MediaWiki) and can export your notes to HTML. You can quickly create and follow links between pages, keep separate wikis for different projects, and sync your wiki files across devices since they are plain text. This makes note-taking fast, flexible, and accessible directly within Vim, improving productivity and organization without leaving your editor.
https://github.com/vimwiki/vimwiki
VimWiki is a personal wiki plugin for Vim that helps you organize notes, manage to-do lists, write diaries, and create linked text files with easy navigation using simple key commands like `<Leader>ww`. It supports multiple markup syntaxes (VimWiki, Markdown, MediaWiki) and can export your notes to HTML. You can quickly create and follow links between pages, keep separate wikis for different projects, and sync your wiki files across devices since they are plain text. This makes note-taking fast, flexible, and accessible directly within Vim, improving productivity and organization without leaving your editor.
https://github.com/vimwiki/vimwiki
GitHub
GitHub - vimwiki/vimwiki: Personal Wiki for Vim
Personal Wiki for Vim. Contribute to vimwiki/vimwiki development by creating an account on GitHub.
#python
WhisperLiveKit lets you convert speech to text in real-time directly in your browser, with speaker identification, using advanced AI models designed for low delay and high accuracy. It processes audio intelligently to avoid cutting off words, supports multiple users, and reduces processing when no voice is detected. You can easily install it, run a server, and start transcribing live speech instantly. It also offers options for speaker diarization, multiple languages, and secure HTTPS setup. This helps you capture meetings, assist hearing-impaired users, transcribe podcasts, or analyze calls quickly and locally without sending data to the cloud.
https://github.com/QuentinFuxa/WhisperLiveKit
WhisperLiveKit lets you convert speech to text in real-time directly in your browser, with speaker identification, using advanced AI models designed for low delay and high accuracy. It processes audio intelligently to avoid cutting off words, supports multiple users, and reduces processing when no voice is detected. You can easily install it, run a server, and start transcribing live speech instantly. It also offers options for speaker diarization, multiple languages, and secure HTTPS setup. This helps you capture meetings, assist hearing-impaired users, transcribe podcasts, or analyze calls quickly and locally without sending data to the cloud.
https://github.com/QuentinFuxa/WhisperLiveKit
GitHub
GitHub - QuentinFuxa/WhisperLiveKit: Simultaneous speech-to-text model
Simultaneous speech-to-text model. Contribute to QuentinFuxa/WhisperLiveKit development by creating an account on GitHub.
#python #audiobooks #epub #kokoro #python #tts
You can easily turn e-books in .epub format into high-quality audiobooks using Audiblez, a free tool that uses Kokoro's natural-sounding text-to-speech voices in many languages. It works on Windows, Mac, and Linux, with options for command line or a simple graphical interface. You can choose different voices, adjust reading speed, and even pick specific chapters to convert. Using a GPU speeds up the process significantly. The final audiobook is saved as an .m4b file, playable on most audiobook apps. This saves you time and money compared to hiring narrators and lets you listen to books hands-free anywhere.
https://github.com/santinic/audiblez
You can easily turn e-books in .epub format into high-quality audiobooks using Audiblez, a free tool that uses Kokoro's natural-sounding text-to-speech voices in many languages. It works on Windows, Mac, and Linux, with options for command line or a simple graphical interface. You can choose different voices, adjust reading speed, and even pick specific chapters to convert. Using a GPU speeds up the process significantly. The final audiobook is saved as an .m4b file, playable on most audiobook apps. This saves you time and money compared to hiring narrators and lets you listen to books hands-free anywhere.
https://github.com/santinic/audiblez
GitHub
GitHub - santinic/audiblez: Generate audiobooks from e-books
Generate audiobooks from e-books. Contribute to santinic/audiblez development by creating an account on GitHub.
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#typescript #commerce #e_commerce #javascript #marketplace #marketplace_solution #medusa #medusajs #medusajs_v2 #multi_vendor #multi_vendor_ecommerce #multivendor_ecommerce #nodejs #open_source #shopping_cart
Mercur is a free, open-source platform that lets you build and run your own multi-vendor marketplace with full control over your data, infrastructure, and customizations. It combines the ease of SaaS with the freedom of open source, so you avoid transaction fees and vendor lock-in. Built on modern MedusaJS technology, Mercur supports both B2C and B2B marketplaces, offering customizable storefronts, admin and vendor panels, and integrations like Stripe for payments. This means you can create a unique, scalable marketplace tailored to your business needs without relying on costly or restrictive platforms. It requires some technical skill but gives you complete ownership and flexibility.
https://github.com/mercurjs/mercur
Mercur is a free, open-source platform that lets you build and run your own multi-vendor marketplace with full control over your data, infrastructure, and customizations. It combines the ease of SaaS with the freedom of open source, so you avoid transaction fees and vendor lock-in. Built on modern MedusaJS technology, Mercur supports both B2C and B2B marketplaces, offering customizable storefronts, admin and vendor panels, and integrations like Stripe for payments. This means you can create a unique, scalable marketplace tailored to your business needs without relying on costly or restrictive platforms. It requires some technical skill but gives you complete ownership and flexibility.
https://github.com/mercurjs/mercur
GitHub
GitHub - mercurjs/mercur: Open-source multi-vendor marketplace platform for B2B & B2C. Built on top of MedusaJS. Create your own…
Open-source multi-vendor marketplace platform for B2B & B2C. Built on top of MedusaJS. Create your own custom marketplace. 🛍️ - GitHub - mercurjs/mercur: Open-source multi-vendor marketpla...
#typescript #agentic_ai #agentic_workflow #agents #ai #approval_process #escalation_policy #function_calling #human_as_tool #human_in_the_loop #humanlayer #llm #llms
HumanLayer helps you safely use AI agents to automate important tasks by ensuring a human always reviews high-risk actions, like sending emails or changing private data. This is crucial because AI can make mistakes or create wrong outputs, and some tasks are too sensitive to trust AI alone. HumanLayer’s tools guarantee human oversight in these cases, so you get the benefits of AI automation without risking errors in critical work. This makes AI more reliable and useful for automating complex workflows while keeping control and safety in your hands.
https://github.com/humanlayer/humanlayer
HumanLayer helps you safely use AI agents to automate important tasks by ensuring a human always reviews high-risk actions, like sending emails or changing private data. This is crucial because AI can make mistakes or create wrong outputs, and some tasks are too sensitive to trust AI alone. HumanLayer’s tools guarantee human oversight in these cases, so you get the benefits of AI automation without risking errors in critical work. This makes AI more reliable and useful for automating complex workflows while keeping control and safety in your hands.
https://github.com/humanlayer/humanlayer
GitHub
GitHub - humanlayer/humanlayer: The best way to get AI coding agents to solve hard problems in complex codebases.
The best way to get AI coding agents to solve hard problems in complex codebases. - humanlayer/humanlayer
#csharp
The Model Context Protocol (MCP) is an open standard that lets AI models connect easily and securely to external data sources and tools, like business systems or cloud services. It acts like a universal adapter, enabling AI to access the right context and data to perform tasks accurately and efficiently. Microsoft offers many MCP servers that link AI with services such as Azure DevOps, SQL databases, Microsoft 365, and more, allowing AI to interact naturally with your data and workflows. This helps you get smarter AI assistance, better automation, and easier integration across your tools.
https://github.com/microsoft/mcp
The Model Context Protocol (MCP) is an open standard that lets AI models connect easily and securely to external data sources and tools, like business systems or cloud services. It acts like a universal adapter, enabling AI to access the right context and data to perform tasks accurately and efficiently. Microsoft offers many MCP servers that link AI with services such as Azure DevOps, SQL databases, Microsoft 365, and more, allowing AI to interact naturally with your data and workflows. This helps you get smarter AI assistance, better automation, and easier integration across your tools.
https://github.com/microsoft/mcp
GitHub
GitHub - microsoft/mcp: Catalog of official Microsoft MCP (Model Context Protocol) server implementations for AI-powered data access…
Catalog of official Microsoft MCP (Model Context Protocol) server implementations for AI-powered data access and tool integration - microsoft/mcp
#python #blueteam #discovery #emails #information_gathering #osint #python #recon #reconnaissance #redteam #subdomain_enumeration
theHarvester is a free, easy-to-use tool that helps you gather public information about a domain, such as emails, subdomains, IPs, and URLs, from many online sources like search engines and databases. It is useful during security testing to understand a company’s external exposure and find potential vulnerabilities. You can run it with Python and it supports features like DNS brute forcing and taking screenshots of found subdomains. Using theHarvester helps you quickly collect valuable data for cybersecurity assessments, making your research more efficient and thorough.
https://github.com/laramies/theHarvester
theHarvester is a free, easy-to-use tool that helps you gather public information about a domain, such as emails, subdomains, IPs, and URLs, from many online sources like search engines and databases. It is useful during security testing to understand a company’s external exposure and find potential vulnerabilities. You can run it with Python and it supports features like DNS brute forcing and taking screenshots of found subdomains. Using theHarvester helps you quickly collect valuable data for cybersecurity assessments, making your research more efficient and thorough.
https://github.com/laramies/theHarvester
GitHub
GitHub - laramies/theHarvester: E-mails, subdomains and names Harvester - OSINT
E-mails, subdomains and names Harvester - OSINT . Contribute to laramies/theHarvester development by creating an account on GitHub.
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#shell #alpine #alpine_linux #boot #distro #grub #installer #iso #linux #linux_distribution #liveos #netboot #netinst #netinstall #operating_systems #os #reinstall #shell_script #vps #windows
You can use a powerful script to easily reinstall Linux or Windows on your server with just one command. It supports 19 popular Linux versions and all Windows versions from Vista to Windows 11, automatically downloading official ISO files and drivers. It works for switching between Linux and Windows, handles different network setups without manual IP input, and supports BIOS, EFI, and ARM servers. The script is lightweight, safe, and fetches all resources live from official sources. This saves you time and effort in system installation or reinstallation, especially on low-memory or cloud servers. You can also customize passwords, SSH keys, and ports during installation.
https://github.com/bin456789/reinstall
You can use a powerful script to easily reinstall Linux or Windows on your server with just one command. It supports 19 popular Linux versions and all Windows versions from Vista to Windows 11, automatically downloading official ISO files and drivers. It works for switching between Linux and Windows, handles different network setups without manual IP input, and supports BIOS, EFI, and ARM servers. The script is lightweight, safe, and fetches all resources live from official sources. This saves you time and effort in system installation or reinstallation, especially on low-memory or cloud servers. You can also customize passwords, SSH keys, and ports during installation.
https://github.com/bin456789/reinstall
GitHub
GitHub - bin456789/reinstall: 一键DD/重装脚本 (One-click reinstall OS on VPS)
一键DD/重装脚本 (One-click reinstall OS on VPS). Contribute to bin456789/reinstall development by creating an account on GitHub.
#other
This guide helps you prepare for software engineering technical interviews by covering key topics like good coding practices (SOLID principles, DRY, Clean Code, Clean Architecture), algorithms and data structures, design patterns, system design, databases, version control, CI/CD, containers, and AI tools. It offers practical resources and examples for many programming languages and frameworks, plus common interview questions for frontend and backend roles. Using this guide improves your coding skills, helps you understand important concepts, and boosts your confidence to perform well in interviews and real projects. It saves you time by gathering essential knowledge and practice materials in one place.
https://github.com/DevCaress/guia-entrevistas-de-programacion
This guide helps you prepare for software engineering technical interviews by covering key topics like good coding practices (SOLID principles, DRY, Clean Code, Clean Architecture), algorithms and data structures, design patterns, system design, databases, version control, CI/CD, containers, and AI tools. It offers practical resources and examples for many programming languages and frameworks, plus common interview questions for frontend and backend roles. Using this guide improves your coding skills, helps you understand important concepts, and boosts your confidence to perform well in interviews and real projects. It saves you time by gathering essential knowledge and practice materials in one place.
https://github.com/DevCaress/guia-entrevistas-de-programacion
GitHub
GitHub - DevCaress/guia-entrevistas-de-programacion
Contribute to DevCaress/guia-entrevistas-de-programacion development by creating an account on GitHub.