#typescript #ai_gateway #gateway #generative_ai #hacktoberfest #langchain #llama_index #llmops #llms #openai #prompt_engineering #router
The AI Gateway by Portkey lets you connect to over 1600 AI models quickly and securely through one simple API, making it easy to integrate any language, vision, or audio AI model in under two minutes. It ensures fast responses with less than 1ms latency, automatic retries, load balancing, and fallback options to keep your AI apps reliable and scalable. It also offers strong security with role-based access, guardrails, and compliance with standards like SOC2 and GDPR. You can save costs with smart caching and optimize usage without changing your code. This helps you build powerful, cost-effective, and secure AI applications faster and with less hassle.
https://github.com/Portkey-AI/gateway
The AI Gateway by Portkey lets you connect to over 1600 AI models quickly and securely through one simple API, making it easy to integrate any language, vision, or audio AI model in under two minutes. It ensures fast responses with less than 1ms latency, automatic retries, load balancing, and fallback options to keep your AI apps reliable and scalable. It also offers strong security with role-based access, guardrails, and compliance with standards like SOC2 and GDPR. You can save costs with smart caching and optimize usage without changing your code. This helps you build powerful, cost-effective, and secure AI applications faster and with less hassle.
https://github.com/Portkey-AI/gateway
GitHub
GitHub - Portkey-AI/gateway: A blazing fast AI Gateway with integrated guardrails. Route to 200+ LLMs, 50+ AI Guardrails with 1…
A blazing fast AI Gateway with integrated guardrails. Route to 200+ LLMs, 50+ AI Guardrails with 1 fast & friendly API. - Portkey-AI/gateway
#html #data_science #education #machine_learning #machine_learning_algorithms #machinelearning #machinelearning_python #microsoft_for_beginners #ml #python #r #scikit_learn #scikit_learn_python
Microsoft’s "Machine Learning for Beginners" is a free, 12-week course with 26 lessons designed to teach classic machine learning using Python and Scikit-learn. It includes quizzes, projects, and assignments to help you learn by doing, with lessons themed around global cultures to keep it engaging. You can access solutions, videos, and even R language versions. The course is beginner-friendly, flexible, and helps build practical skills step-by-step, making it easier to understand and apply machine learning concepts in real-world scenarios. This structured approach boosts your learning retention and prepares you for further study or career growth in ML[1][5].
https://github.com/microsoft/ML-For-Beginners
Microsoft’s "Machine Learning for Beginners" is a free, 12-week course with 26 lessons designed to teach classic machine learning using Python and Scikit-learn. It includes quizzes, projects, and assignments to help you learn by doing, with lessons themed around global cultures to keep it engaging. You can access solutions, videos, and even R language versions. The course is beginner-friendly, flexible, and helps build practical skills step-by-step, making it easier to understand and apply machine learning concepts in real-world scenarios. This structured approach boosts your learning retention and prepares you for further study or career growth in ML[1][5].
https://github.com/microsoft/ML-For-Beginners
GitHub
GitHub - microsoft/ML-For-Beginners: 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all - microsoft/ML-For-Beginners
#c_lang
Microui is a very small and simple user interface library written in plain C, with about 1100 lines of code. It works within a fixed memory size without extra allocation and includes basic controls like windows, buttons, sliders, textboxes, and labels. It can be used with any system that can draw rectangles and text, and you can easily add your own custom controls. Microui processes user input and generates drawing commands but does not draw itself, so you handle rendering separately. This makes it lightweight, portable, and easy to integrate into various projects, especially where minimal memory use and simplicity are important[1][2].
https://github.com/rxi/microui
Microui is a very small and simple user interface library written in plain C, with about 1100 lines of code. It works within a fixed memory size without extra allocation and includes basic controls like windows, buttons, sliders, textboxes, and labels. It can be used with any system that can draw rectangles and text, and you can easily add your own custom controls. Microui processes user input and generates drawing commands but does not draw itself, so you handle rendering separately. This makes it lightweight, portable, and easy to integrate into various projects, especially where minimal memory use and simplicity are important[1][2].
https://github.com/rxi/microui
GitHub
GitHub - rxi/microui: A tiny immediate-mode UI library
A tiny immediate-mode UI library. Contribute to rxi/microui development by creating an account on GitHub.
#python
Live Agent Studio is a community-driven platform where you can explore, use, and create AI agents for various tasks like customer support, data analysis, and business automation. It offers an easy-to-use interface with a growing library of open-source AI agents that you can customize and test in real time. You get free tokens to start using agents, and more tokens can be purchased to cover usage costs. The platform encourages learning and innovation by sharing source code and workflows, making it ideal for both beginners and developers. It helps you automate tasks, improve productivity, and stay updated with the latest AI tools all in one place[1][2].
https://github.com/coleam00/ottomator-agents
Live Agent Studio is a community-driven platform where you can explore, use, and create AI agents for various tasks like customer support, data analysis, and business automation. It offers an easy-to-use interface with a growing library of open-source AI agents that you can customize and test in real time. You get free tokens to start using agents, and more tokens can be purchased to cover usage costs. The platform encourages learning and innovation by sharing source code and workflows, making it ideal for both beginners and developers. It helps you automate tasks, improve productivity, and stay updated with the latest AI tools all in one place[1][2].
https://github.com/coleam00/ottomator-agents
GitHub
GitHub - coleam00/ottomator-agents: All the open source AI Agents hosted on the oTTomator Live Agent Studio platform!
All the open source AI Agents hosted on the oTTomator Live Agent Studio platform! - coleam00/ottomator-agents
#python
RL Swarm is a free, open-source system that lets you train AI models together with others using your own computer or cloud GPU. It adapts to your hardware, so even less powerful devices can join and contribute equally. You connect through a simple setup using Docker, and your progress is tracked on-chain with a secure identity. This collaborative approach improves model quality by sharing knowledge and peer feedback, making AI training more efficient and accessible. You can also upload your models to Hugging Face and monitor training live on a dashboard, benefiting from a community-driven, decentralized reinforcement learning network.
https://github.com/gensyn-ai/rl-swarm
RL Swarm is a free, open-source system that lets you train AI models together with others using your own computer or cloud GPU. It adapts to your hardware, so even less powerful devices can join and contribute equally. You connect through a simple setup using Docker, and your progress is tracked on-chain with a secure identity. This collaborative approach improves model quality by sharing knowledge and peer feedback, making AI training more efficient and accessible. You can also upload your models to Hugging Face and monitor training live on a dashboard, benefiting from a community-driven, decentralized reinforcement learning network.
https://github.com/gensyn-ai/rl-swarm
GitHub
GitHub - gensyn-ai/rl-swarm: A fully open source framework for creating RL training swarms over the internet.
A fully open source framework for creating RL training swarms over the internet. - gensyn-ai/rl-swarm
#rust #2d_graphics #art #compositor #design #graphic_design #graphics_editor #image_generation #image_manipulation #image_processing #node_editor #node_graph #photo_editing #photo_editor #procedural #procedural_art #procedural_drawing #svg_editor #vector_editor
Graphite is a free, open-source 2D graphics editor that combines vector and raster tools with a unique hybrid workflow using layers and nodes. It lets you create detailed vector art and designs with nondestructive editing, meaning you can change your work anytime without losing quality. The node-based system offers powerful, flexible control like visual programming, while the layer system keeps things simple and familiar. This makes it easy to create complex graphics, animations, and effects all in one tool. Graphite is still evolving but aims to be a versatile, all-in-one creative platform accessible to everyone, helping you unleash your artistic potential efficiently[1][2][4].
https://github.com/GraphiteEditor/Graphite
Graphite is a free, open-source 2D graphics editor that combines vector and raster tools with a unique hybrid workflow using layers and nodes. It lets you create detailed vector art and designs with nondestructive editing, meaning you can change your work anytime without losing quality. The node-based system offers powerful, flexible control like visual programming, while the layer system keeps things simple and familiar. This makes it easy to create complex graphics, animations, and effects all in one tool. Graphite is still evolving but aims to be a versatile, all-in-one creative platform accessible to everyone, helping you unleash your artistic potential efficiently[1][2][4].
https://github.com/GraphiteEditor/Graphite
GitHub
GitHub - GraphiteEditor/Graphite: Open source comprehensive 2D content creation tool suite for graphic design, digital art, and…
Open source comprehensive 2D content creation tool suite for graphic design, digital art, and interactive real-time motion graphics — featuring node-based procedural editing - GraphiteEditor/Graphite
❤2
#javascript #linux #macos #ocr #pot #pot_app #recognize #tauri #translate #translation #tts #windows
Pot is a cross-platform translation tool that lets you quickly translate text by selecting it and using a shortcut, typing text to translate, or using OCR to translate text from screenshots. It supports many translation engines like OpenAI, Google, DeepL, and more, plus offline options. You can also add plugins to extend its features and use it on Windows, macOS, and Linux. Pot offers an API for integration with other software and works well even on Wayland systems. This makes translating easier, faster, and more flexible, helping you understand and work with multiple languages efficiently.
https://github.com/pot-app/pot-desktop
Pot is a cross-platform translation tool that lets you quickly translate text by selecting it and using a shortcut, typing text to translate, or using OCR to translate text from screenshots. It supports many translation engines like OpenAI, Google, DeepL, and more, plus offline options. You can also add plugins to extend its features and use it on Windows, macOS, and Linux. Pot offers an API for integration with other software and works well even on Wayland systems. This makes translating easier, faster, and more flexible, helping you understand and work with multiple languages efficiently.
https://github.com/pot-app/pot-desktop
GitHub
GitHub - pot-app/pot-desktop: 🌈一个跨平台的划词翻译和OCR软件 | A cross-platform software for text translation and recognition.
🌈一个跨平台的划词翻译和OCR软件 | A cross-platform software for text translation and recognition. - pot-app/pot-desktop
#python #emulation #open_source #retrogaming #rommapp #self_hosted
RomM is a powerful, self-hosted ROM manager that helps you organize, browse, and play your game collection easily through a clean web interface. It supports over 400 gaming platforms and enriches your library with metadata, artwork, and achievements from popular databases like IGDB and Retroachievements. You can play games directly in your browser using built-in emulators, manage multi-disk games, DLCs, mods, and share your collection with friends securely. RomM works on desktop and mobile, making game management simple and accessible anywhere, enhancing your gaming experience by keeping everything organized and playable in one place.
https://github.com/rommapp/romm
RomM is a powerful, self-hosted ROM manager that helps you organize, browse, and play your game collection easily through a clean web interface. It supports over 400 gaming platforms and enriches your library with metadata, artwork, and achievements from popular databases like IGDB and Retroachievements. You can play games directly in your browser using built-in emulators, manage multi-disk games, DLCs, mods, and share your collection with friends securely. RomM works on desktop and mobile, making game management simple and accessible anywhere, enhancing your gaming experience by keeping everything organized and playable in one place.
https://github.com/rommapp/romm
#java
BookLore is a self-hosted web app that helps you organize, manage, and read your personal book collection easily. You can sort books into libraries and shelves, automatically get book details from sources like Goodreads, and track your reading progress on PDFs and eBooks with a built-in reader. It supports multiple users with separate accounts and secure login options, so everyone can manage their own books without mixing collections. You can upload many books at once, share books by email (great for Kindle users), and browse books via compatible reading apps. This gives you full control over your digital library with a clean, modern interface and continuous updates[1][2][5].
https://github.com/adityachandelgit/BookLore
BookLore is a self-hosted web app that helps you organize, manage, and read your personal book collection easily. You can sort books into libraries and shelves, automatically get book details from sources like Goodreads, and track your reading progress on PDFs and eBooks with a built-in reader. It supports multiple users with separate accounts and secure login options, so everyone can manage their own books without mixing collections. You can upload many books at once, share books by email (great for Kindle users), and browse books via compatible reading apps. This gives you full control over your digital library with a clean, modern interface and continuous updates[1][2][5].
https://github.com/adityachandelgit/BookLore
GitHub
GitHub - booklore-app/booklore: BookLore: A self-hosted, multi-user digital library with smart shelves, auto metadata, Kobo & KOReader…
BookLore: A self-hosted, multi-user digital library with smart shelves, auto metadata, Kobo & KOReader sync, BookDrop imports, OPDS support, and a built-in reader for EPUB, PDF, and comics....
#python #bounty #bugbounty #bypass #cheatsheet #enumeration #hacking #hacktoberfest #methodology #payload #payloads #penetration_testing #pentest #privilege_escalation #redteam #security #vulnerability #web_application
Payloads All The Things is a comprehensive collection of useful payloads and bypass techniques for web application security testing and penetration testing. It offers detailed documentation for each vulnerability, including how to exploit it and ready-to-use payloads, plus files for tools like Burp Intruder. You can contribute your own payloads or improvements, making it a collaborative resource. It also links to related projects for internal network and hardware pentesting, and provides learning resources like books and videos. Using this resource helps you efficiently find and test security weaknesses in web applications, improving your pentesting effectiveness and knowledge.
https://github.com/swisskyrepo/PayloadsAllTheThings
Payloads All The Things is a comprehensive collection of useful payloads and bypass techniques for web application security testing and penetration testing. It offers detailed documentation for each vulnerability, including how to exploit it and ready-to-use payloads, plus files for tools like Burp Intruder. You can contribute your own payloads or improvements, making it a collaborative resource. It also links to related projects for internal network and hardware pentesting, and provides learning resources like books and videos. Using this resource helps you efficiently find and test security weaknesses in web applications, improving your pentesting effectiveness and knowledge.
https://github.com/swisskyrepo/PayloadsAllTheThings
GitHub
GitHub - swisskyrepo/PayloadsAllTheThings: A list of useful payloads and bypass for Web Application Security and Pentest/CTF
A list of useful payloads and bypass for Web Application Security and Pentest/CTF - swisskyrepo/PayloadsAllTheThings
👍1
#cplusplus #arduino #cansat #csv #embedded #graph #ground_station #iot #microcontroller #network #projects #qt #serial #serial_studio
Serial Studio is a free, easy-to-use tool that lets you visualize real-time data from devices like microcontrollers via serial ports, Bluetooth, or network connections. It works on Windows, macOS, and Linux, and offers customizable dashboards with various widgets to monitor sensor data, debug info, or telemetry. You can quickly plot data, export it as CSV for analysis, and even use advanced features like checksum validation and JavaScript data processing. It supports hobbyists, educators, and professionals by simplifying data monitoring and debugging, saving you time and effort in understanding your device’s output. Pro versions add commercial use and extra features[1][4][5].
https://github.com/Serial-Studio/Serial-Studio
Serial Studio is a free, easy-to-use tool that lets you visualize real-time data from devices like microcontrollers via serial ports, Bluetooth, or network connections. It works on Windows, macOS, and Linux, and offers customizable dashboards with various widgets to monitor sensor data, debug info, or telemetry. You can quickly plot data, export it as CSV for analysis, and even use advanced features like checksum validation and JavaScript data processing. It supports hobbyists, educators, and professionals by simplifying data monitoring and debugging, saving you time and effort in understanding your device’s output. Pro versions add commercial use and extra features[1][4][5].
https://github.com/Serial-Studio/Serial-Studio
GitHub
GitHub - Serial-Studio/Serial-Studio: A realtime telemetry workbench for embedded systems.
A realtime telemetry workbench for embedded systems. - Serial-Studio/Serial-Studio
#cplusplus #cpp #hacktoberfest #iot #iot_device #iot_edge #microcontroller #microsoft_for_beginners #python #raspberry_pi #rpi
You can learn the basics of the Internet of Things (IoT) through a free 12-week course with 24 lessons that guide you step-by-step in building real projects like plant monitoring, vehicle tracking, and smart cooking timers. Each lesson includes quizzes, instructions, challenges, and solutions to help you understand sensors, cloud connections, security, and AI on devices. The course uses real hardware or virtual options, making it easy to practice hands-on skills. This project-based learning helps you gain practical IoT knowledge useful for many industries, improving your tech skills and job readiness.
https://github.com/microsoft/IoT-For-Beginners
You can learn the basics of the Internet of Things (IoT) through a free 12-week course with 24 lessons that guide you step-by-step in building real projects like plant monitoring, vehicle tracking, and smart cooking timers. Each lesson includes quizzes, instructions, challenges, and solutions to help you understand sensors, cloud connections, security, and AI on devices. The course uses real hardware or virtual options, making it easy to practice hands-on skills. This project-based learning helps you gain practical IoT knowledge useful for many industries, improving your tech skills and job readiness.
https://github.com/microsoft/IoT-For-Beginners
GitHub
GitHub - microsoft/IoT-For-Beginners: 12 Weeks, 24 Lessons, IoT for All!
12 Weeks, 24 Lessons, IoT for All! Contribute to microsoft/IoT-For-Beginners development by creating an account on GitHub.
#go #github_actions #kubernetes #operator
Actions Runner Controller (ARC) is a tool that helps you automatically manage and scale self-hosted GitHub Actions runners using Kubernetes. It creates runner scale sets that grow or shrink based on how many workflows you are running, making your CI/CD process more efficient and cost-effective. ARC uses containers for runners, so new instances can start or stop quickly and cleanly. You can install ARC easily with Helm on Kubernetes and customize runners with features like custom images, volumes, and scripts. This automation saves you time and resources by matching runner capacity to your actual workload needs[1][2][3].
https://github.com/actions/actions-runner-controller
Actions Runner Controller (ARC) is a tool that helps you automatically manage and scale self-hosted GitHub Actions runners using Kubernetes. It creates runner scale sets that grow or shrink based on how many workflows you are running, making your CI/CD process more efficient and cost-effective. ARC uses containers for runners, so new instances can start or stop quickly and cleanly. You can install ARC easily with Helm on Kubernetes and customize runners with features like custom images, volumes, and scripts. This automation saves you time and resources by matching runner capacity to your actual workload needs[1][2][3].
https://github.com/actions/actions-runner-controller
GitHub
GitHub - actions/actions-runner-controller: Kubernetes controller for GitHub Actions self-hosted runners
Kubernetes controller for GitHub Actions self-hosted runners - actions/actions-runner-controller
#go #docker #golang #media_streaming #remote_control #remote_desktop #self_hosted #virtual_browser #vue #webrtc
Neko is a self-hosted virtual browser that runs inside a Docker container and streams via WebRTC, letting you securely and privately access a full browser or desktop environment from anywhere. It supports multiple users at once, making it great for team collaboration, shared browsing, watch parties, and interactive presentations. You can run various browsers like Firefox, Chrome, or Tor, and even other Linux apps. Neko keeps your data safe by isolating the browser environment, avoids leaving traces on your device, and supports smooth video and audio streaming. This gives you flexible, secure, and private web access with easy sharing and real-time interaction.
https://github.com/m1k1o/neko
Neko is a self-hosted virtual browser that runs inside a Docker container and streams via WebRTC, letting you securely and privately access a full browser or desktop environment from anywhere. It supports multiple users at once, making it great for team collaboration, shared browsing, watch parties, and interactive presentations. You can run various browsers like Firefox, Chrome, or Tor, and even other Linux apps. Neko keeps your data safe by isolating the browser environment, avoids leaving traces on your device, and supports smooth video and audio streaming. This gives you flexible, secure, and private web access with easy sharing and real-time interaction.
https://github.com/m1k1o/neko
GitHub
GitHub - m1k1o/neko: A self hosted virtual browser that runs in docker and uses WebRTC.
A self hosted virtual browser that runs in docker and uses WebRTC. - m1k1o/neko
❤3
#vue #english_learn #learn_english #memorizing_words #typing #typing_game #typing_practice #typing_word #typingspeedtest
Typing Word is a free online tool to help you memorize and practice English words and articles. You can choose to learn words by typing or listening, with options for American or British pronunciation and error tracking. It includes features like a vocabulary notebook for new or difficult words, and a mode that repeats mistakes until you get them right. You can also practice classic texts or add your own articles with translation help. It supports many word lists for exams like CET, GRE, IELTS, TOEFL, and even programming terms. This tool helps you improve your English vocabulary and typing skills efficiently and interactively.
https://github.com/zyronon/typing-word
Typing Word is a free online tool to help you memorize and practice English words and articles. You can choose to learn words by typing or listening, with options for American or British pronunciation and error tracking. It includes features like a vocabulary notebook for new or difficult words, and a mode that repeats mistakes until you get them right. You can also practice classic texts or add your own articles with translation help. It supports many word lists for exams like CET, GRE, IELTS, TOEFL, and even programming terms. This tool helps you improve your English vocabulary and typing skills efficiently and interactively.
https://github.com/zyronon/typing-word
GitHub
GitHub - zyronon/TypeWords: 练习英语,一次敲击,一点进步;Practice English, one strike, one step forward
练习英语,一次敲击,一点进步;Practice English, one strike, one step forward - zyronon/TypeWords
#python
LMCache is a tool that makes large language models (LLMs) faster and more efficient by storing and reusing parts of their memory (KV caches) across different devices like GPUs, CPUs, and disks. This reduces the time it takes to get the first response and saves computing power, especially when handling long texts or repeated queries. When combined with vLLM, it can cut delays by 3 to 10 times, making multi-round question answering and retrieval-augmented generation much quicker. This means you get faster AI responses and lower costs, improving your experience with LLM-based applications. It’s easy to install and supported by detailed guides and a helpful community.
https://github.com/LMCache/LMCache
LMCache is a tool that makes large language models (LLMs) faster and more efficient by storing and reusing parts of their memory (KV caches) across different devices like GPUs, CPUs, and disks. This reduces the time it takes to get the first response and saves computing power, especially when handling long texts or repeated queries. When combined with vLLM, it can cut delays by 3 to 10 times, making multi-round question answering and retrieval-augmented generation much quicker. This means you get faster AI responses and lower costs, improving your experience with LLM-based applications. It’s easy to install and supported by detailed guides and a helpful community.
https://github.com/LMCache/LMCache
GitHub
GitHub - LMCache/LMCache: Supercharge Your LLM with the Fastest KV Cache Layer
Supercharge Your LLM with the Fastest KV Cache Layer - LMCache/LMCache
#html
You can easily create a secure Octra blockchain wallet by running a simple webserver on your computer. Just clone the wallet generator from GitHub, start the server, and open your browser to generate a new wallet. The tool shows your mnemonic phrase, private and public keys, and address, lets you test signatures, derive addresses for different networks, and automatically saves your wallet file. This helps you safely manage your Octra blockchain assets with full control over your keys and easy access to wallet features without needing complex setups. It’s a user-friendly way to secure and use your Octra wallet locally.
https://github.com/octra-labs/wallet-gen
You can easily create a secure Octra blockchain wallet by running a simple webserver on your computer. Just clone the wallet generator from GitHub, start the server, and open your browser to generate a new wallet. The tool shows your mnemonic phrase, private and public keys, and address, lets you test signatures, derive addresses for different networks, and automatically saves your wallet file. This helps you safely manage your Octra blockchain assets with full control over your keys and easy access to wallet features without needing complex setups. It’s a user-friendly way to secure and use your Octra wallet locally.
https://github.com/octra-labs/wallet-gen
GitHub
GitHub - octra-labs/wallet-gen
Contribute to octra-labs/wallet-gen development by creating an account on GitHub.
#typescript #shadcn #shadcn_theme #shadcn_theme_editor #shadcn_ui #tailwindcss #tailwindcss_v4
tweakcn is a free, open-source visual theme editor that helps you easily customize shadcn/ui components used in React projects, especially with Tailwind CSS v4. It offers beautiful preset themes and lets you change colors, typography, spacing, shadows, and more with real-time previews, all without coding. This means you can make your website look unique and stand out instead of looking like many others using the same UI components. It’s great for developers and designers who want fast, advanced customization and a smooth design process. You can also run it locally and contribute to its development if you want[1][3][5].
https://github.com/jnsahaj/tweakcn
tweakcn is a free, open-source visual theme editor that helps you easily customize shadcn/ui components used in React projects, especially with Tailwind CSS v4. It offers beautiful preset themes and lets you change colors, typography, spacing, shadows, and more with real-time previews, all without coding. This means you can make your website look unique and stand out instead of looking like many others using the same UI components. It’s great for developers and designers who want fast, advanced customization and a smooth design process. You can also run it locally and contribute to its development if you want[1][3][5].
https://github.com/jnsahaj/tweakcn
GitHub
GitHub - jnsahaj/tweakcn: A visual no-code theme editor for shadcn/ui components
A visual no-code theme editor for shadcn/ui components - jnsahaj/tweakcn
#go #bot #go #golang #golang_whatsapp #golang_whatsapp_api #rest #rest_api #whatsapp #whatsapp_api #whatsapp_api_go #whatsapp_multi_device #whatsapp_web_multi_device
You can use the WhatsApp API Multi Device Version to send and receive WhatsApp messages through a web-based API or as an MCP server, which allows AI tools to interact with WhatsApp. It supports multiple device types and architectures, lets you send texts, images, videos, contacts, and locations, and includes features like auto-reply, message reactions, and group management. You can run it via Docker or build your own binary, and configure it easily with command-line flags or environment variables. This tool helps automate and scale WhatsApp communication, making it ideal for businesses or developers who want to integrate WhatsApp messaging into their apps or AI systems efficiently.
https://github.com/aldinokemal/go-whatsapp-web-multidevice
You can use the WhatsApp API Multi Device Version to send and receive WhatsApp messages through a web-based API or as an MCP server, which allows AI tools to interact with WhatsApp. It supports multiple device types and architectures, lets you send texts, images, videos, contacts, and locations, and includes features like auto-reply, message reactions, and group management. You can run it via Docker or build your own binary, and configure it easily with command-line flags or environment variables. This tool helps automate and scale WhatsApp communication, making it ideal for businesses or developers who want to integrate WhatsApp messaging into their apps or AI systems efficiently.
https://github.com/aldinokemal/go-whatsapp-web-multidevice
GitHub
GitHub - aldinokemal/go-whatsapp-web-multidevice: GOWA - WhatsApp REST API with support for UI, Webhooks, and MCP. Built with Golang…
GOWA - WhatsApp REST API with support for UI, Webhooks, and MCP. Built with Golang for efficient memory use. - GitHub - aldinokemal/go-whatsapp-web-multidevice: GOWA - WhatsApp REST API with suppo...
#python #gemini #gemini_api #googlesearch #imagen_3 #load_balancer #openai_api
Gemini Balance is a Python-based tool that acts as a proxy and load balancer for the Google Gemini API, letting you manage multiple API keys efficiently by rotating them automatically to improve availability and concurrency. It supports both Gemini and OpenAI API formats, enabling chat, image generation, image editing, and web search features. You can monitor key status in real-time, configure settings visually without restarting, and use proxies for special network needs. It also supports Docker deployment for easy setup. This helps you reliably use Gemini API services with better performance, flexibility, and monitoring, saving you time and effort in managing API keys and requests.
https://github.com/snailyp/gemini-balance
Gemini Balance is a Python-based tool that acts as a proxy and load balancer for the Google Gemini API, letting you manage multiple API keys efficiently by rotating them automatically to improve availability and concurrency. It supports both Gemini and OpenAI API formats, enabling chat, image generation, image editing, and web search features. You can monitor key status in real-time, configure settings visually without restarting, and use proxies for special network needs. It also supports Docker deployment for easy setup. This helps you reliably use Gemini API services with better performance, flexibility, and monitoring, saving you time and effort in managing API keys and requests.
https://github.com/snailyp/gemini-balance
GitHub
GitHub - snailyp/gemini-balance: Gemini polling proxy service (gemini轮询代理服务)
Gemini polling proxy service (gemini轮询代理服务). Contribute to snailyp/gemini-balance development by creating an account on GitHub.
#typescript #data_visualization #geospatial_analysis #javascript #maps #python #visualization #webgl
deck.gl is a powerful tool that helps you create fast, interactive, and visually impressive maps and data visualizations using WebGL technology. It lets you turn large sets of data into layers like icons, polygons, and text, which you can view in different ways such as maps or 3D scenes. It works well with popular map providers like Google Maps and Mapbox, and supports easy interaction like clicking and filtering. You can use it simply by adding a script or installing it via npm or Python. This makes it easier for you to build custom, high-performance visualizations quickly and with less coding effort.
https://github.com/visgl/deck.gl
deck.gl is a powerful tool that helps you create fast, interactive, and visually impressive maps and data visualizations using WebGL technology. It lets you turn large sets of data into layers like icons, polygons, and text, which you can view in different ways such as maps or 3D scenes. It works well with popular map providers like Google Maps and Mapbox, and supports easy interaction like clicking and filtering. You can use it simply by adding a script or installing it via npm or Python. This makes it easier for you to build custom, high-performance visualizations quickly and with less coding effort.
https://github.com/visgl/deck.gl
GitHub
GitHub - visgl/deck.gl: WebGL2 powered visualization framework
WebGL2 powered visualization framework. Contribute to visgl/deck.gl development by creating an account on GitHub.