#typescript #ai #cross_platform #desktop #openai #rust #transcribe #whisper
You can use Vibe to easily transcribe audio and video files on your own computer without needing the internet. It works offline using OpenAI’s Whisper engine, so your data stays private and never leaves your device. Vibe supports many languages, multiple file formats like SRT for captions, and can transcribe from system audio, microphone, or popular websites. It runs on Mac, Windows, and Linux, and offers features like batch transcription, real-time preview, translation, and AI-powered summaries. This helps you quickly get accurate transcripts while keeping your information secure and under your control.
https://github.com/thewh1teagle/vibe
You can use Vibe to easily transcribe audio and video files on your own computer without needing the internet. It works offline using OpenAI’s Whisper engine, so your data stays private and never leaves your device. Vibe supports many languages, multiple file formats like SRT for captions, and can transcribe from system audio, microphone, or popular websites. It runs on Mac, Windows, and Linux, and offers features like batch transcription, real-time preview, translation, and AI-powered summaries. This helps you quickly get accurate transcripts while keeping your information secure and under your control.
https://github.com/thewh1teagle/vibe
GitHub
GitHub - thewh1teagle/vibe: Transcribe on your own!
Transcribe on your own! Contribute to thewh1teagle/vibe development by creating an account on GitHub.
#html
The International Obfuscated C Code Contest (IOCCC) is a programming contest where participants write the most confusing and hard-to-understand C code, often under 512 bytes. It started in 1984 to highlight bad coding styles and show how poor structure can ruin a program. The contest uses satire to teach programmers about C’s tricky parts and the importance of clear coding by showing what not to do. Winning entries are both educational and entertaining, helping you learn subtle C language details while having fun. The contest encourages you to explore and understand complex code, improving your programming skills and appreciation for good style.
https://github.com/ioccc-src/winner
The International Obfuscated C Code Contest (IOCCC) is a programming contest where participants write the most confusing and hard-to-understand C code, often under 512 bytes. It started in 1984 to highlight bad coding styles and show how poor structure can ruin a program. The contest uses satire to teach programmers about C’s tricky parts and the importance of clear coding by showing what not to do. Winning entries are both educational and entertaining, helping you learn subtle C language details while having fun. The contest encourages you to explore and understand complex code, improving your programming skills and appreciation for good style.
https://github.com/ioccc-src/winner
GitHub
GitHub - ioccc-src/winner: Winners of the International Obfuscated C Code Contest
Winners of the International Obfuscated C Code Contest - ioccc-src/winner
#elixir #debug_adapter_protocol #elixir #language_server #language_server_protocol #lsp
ElixirLS is a tool that helps you write and debug Elixir code more easily by providing features like code completion, go-to-definition, inline error reporting, and a powerful debugger that supports breakpoints and step-through debugging. It works with many editors and IDEs through standard protocols, making it flexible to use. It also integrates Dialyzer for static code analysis to catch bugs early and offers a server that helps AI tools understand your code better. Using ElixirLS speeds up development, improves code quality, and makes debugging simpler and more efficient. It supports recent Elixir and OTP versions and can be customized for your project needs.
https://github.com/elixir-lsp/elixir-ls
ElixirLS is a tool that helps you write and debug Elixir code more easily by providing features like code completion, go-to-definition, inline error reporting, and a powerful debugger that supports breakpoints and step-through debugging. It works with many editors and IDEs through standard protocols, making it flexible to use. It also integrates Dialyzer for static code analysis to catch bugs early and offers a server that helps AI tools understand your code better. Using ElixirLS speeds up development, improves code quality, and makes debugging simpler and more efficient. It supports recent Elixir and OTP versions and can be customized for your project needs.
https://github.com/elixir-lsp/elixir-ls
GitHub
GitHub - elixir-lsp/elixir-ls: A frontend-independent IDE "smartness" server for Elixir. Implements the "Language Server Protocol"…
A frontend-independent IDE "smartness" server for Elixir. Implements the "Language Server Protocol" standard and provides debugger support via the "Debu...
#shell #buildroot_external_tree #firmware #ingenic #ip_camera #ipc #ipcamera
Thingino is free, open-source firmware designed specifically for IP cameras using Ingenic SoC chips. It customizes the software to fit each supported camera model, making the camera easier to use and more efficient. You can build the firmware yourself using the provided instructions and tools, and there is a helpful web interface to control camera features like pan, tilt, night mode, and streaming. This gives you more control and flexibility over your camera without relying on proprietary software. It supports many camera models, and the community offers resources like a wiki, chat groups, and development guides to help you get started and customize your device. This benefits you by providing a customizable, transparent, and community-supported alternative to closed camera firmware.
https://github.com/themactep/thingino-firmware
Thingino is free, open-source firmware designed specifically for IP cameras using Ingenic SoC chips. It customizes the software to fit each supported camera model, making the camera easier to use and more efficient. You can build the firmware yourself using the provided instructions and tools, and there is a helpful web interface to control camera features like pan, tilt, night mode, and streaming. This gives you more control and flexibility over your camera without relying on proprietary software. It supports many camera models, and the community offers resources like a wiki, chat groups, and development guides to help you get started and customize your device. This benefits you by providing a customizable, transparent, and community-supported alternative to closed camera firmware.
https://github.com/themactep/thingino-firmware
GitHub
GitHub - themactep/thingino-firmware: Open-source firmware for Ingenic SoC IP cameras
Open-source firmware for Ingenic SoC IP cameras. Contribute to themactep/thingino-firmware development by creating an account on GitHub.
#javascript #antd #music #music_player #nodejs #react #react_router #redux #webapp #webpack
Copper Bell is a free website app focused on listening to music. It offers many songs and has a simple, clean design that makes it easy to find and play your favorite music. You can search for songs, make playlists, read scrolling lyrics, save songs, and create your own song lists. It does not have live broadcasts, social features, or ads, so there are no distractions and you get a pure music experience. You can use it on any modern web browser without installing anything. It works on many devices, including tablets. This way, you can enjoy music, manage your songs, and discover new tunes easily anytime and anywhere.
https://github.com/enzeberg/tonzhon-music
Copper Bell is a free website app focused on listening to music. It offers many songs and has a simple, clean design that makes it easy to find and play your favorite music. You can search for songs, make playlists, read scrolling lyrics, save songs, and create your own song lists. It does not have live broadcasts, social features, or ads, so there are no distractions and you get a pure music experience. You can use it on any modern web browser without installing anything. It works on many devices, including tablets. This way, you can enjoy music, manage your songs, and discover new tunes easily anytime and anywhere.
https://github.com/enzeberg/tonzhon-music
GitHub
GitHub - enzeberg/tonzhon-music: 铜钟 Tonzhon ( https://tonzhon.whamon.com ): 只有音乐, 无广告和社交; 干净纯粹, 资源丰富, 体验独特!(请注意:铜钟已不再使用 tonzhon.com,现在的…
铜钟 Tonzhon ( https://tonzhon.whamon.com ): 只有音乐, 无广告和社交; 干净纯粹, 资源丰富, 体验独特!(请注意:铜钟已不再使用 tonzhon.com,现在的 tonzhon.com 不是正版的铜钟) - enzeberg/tonzhon-music
#dart
You can watch live streams simply on multiple platforms like Huya, Douyu, Bilibili, and Douyin using an app called Simple Live. It works on Android, iOS, Windows, MacOS, Linux, and Android TV, though some versions are still in beta. The app is built with Flutter and includes features to get live video and chat messages (danmaku) from these sites. You need to compile the app yourself since no ready-made installer is provided. This gives you a lightweight, easy way to watch live broadcasts from popular Chinese streaming platforms on many devices without extra cost or ads.
https://github.com/xiaoyaocz/dart_simple_live
You can watch live streams simply on multiple platforms like Huya, Douyu, Bilibili, and Douyin using an app called Simple Live. It works on Android, iOS, Windows, MacOS, Linux, and Android TV, though some versions are still in beta. The app is built with Flutter and includes features to get live video and chat messages (danmaku) from these sites. You need to compile the app yourself since no ready-made installer is provided. This gives you a lightweight, easy way to watch live broadcasts from popular Chinese streaming platforms on many devices without extra cost or ads.
https://github.com/xiaoyaocz/dart_simple_live
GitHub
GitHub - xiaoyaocz/dart_simple_live: 简简单单的看直播
简简单单的看直播. Contribute to xiaoyaocz/dart_simple_live development by creating an account on GitHub.
#other #agent #ai #artificial_intelligence #autogpt #autonomous_agents #awesome #babyagi #copilot #gpt #gpt_4 #gpt_engineer #openai #python
Codeium is a free AI-powered coding assistant that helps you write code faster and better by providing real-time autocomplete suggestions, generating code from natural language, explaining code, and assisting with refactoring. It supports over 70 programming languages and integrates with many popular IDEs like Visual Studio Code. Codeium learns from your coding style and project context to offer relevant suggestions, saving you time and reducing errors. It also includes a chat feature to answer coding questions instantly, so you don’t need to switch to a browser for help. This boosts your productivity and code quality efficiently.
https://github.com/e2b-dev/awesome-ai-agents
Codeium is a free AI-powered coding assistant that helps you write code faster and better by providing real-time autocomplete suggestions, generating code from natural language, explaining code, and assisting with refactoring. It supports over 70 programming languages and integrates with many popular IDEs like Visual Studio Code. Codeium learns from your coding style and project context to offer relevant suggestions, saving you time and reducing errors. It also includes a chat feature to answer coding questions instantly, so you don’t need to switch to a browser for help. This boosts your productivity and code quality efficiently.
https://github.com/e2b-dev/awesome-ai-agents
GitHub
GitHub - e2b-dev/awesome-ai-agents: A list of AI autonomous agents
A list of AI autonomous agents. Contribute to e2b-dev/awesome-ai-agents development by creating an account on GitHub.
👍1
#other
The FFmpeg School of Assembly Language teaches you how assembly code is written in FFmpeg, helping you understand what happens inside your computer. To join, you should know C programming (especially pointers) and basic high school math. The lessons include assignments and a Discord server for questions. By completing them, you can contribute to FFmpeg, a powerful video processing tool that uses assembly to speed up tasks dramatically—sometimes up to 94 times faster with special instructions like AVX-512. Learning this helps you write highly efficient code for video and multimedia processing, improving performance in real-world applications.
https://github.com/FFmpeg/asm-lessons
The FFmpeg School of Assembly Language teaches you how assembly code is written in FFmpeg, helping you understand what happens inside your computer. To join, you should know C programming (especially pointers) and basic high school math. The lessons include assignments and a Discord server for questions. By completing them, you can contribute to FFmpeg, a powerful video processing tool that uses assembly to speed up tasks dramatically—sometimes up to 94 times faster with special instructions like AVX-512. Learning this helps you write highly efficient code for video and multimedia processing, improving performance in real-world applications.
https://github.com/FFmpeg/asm-lessons
GitHub
GitHub - FFmpeg/asm-lessons: FFmpeg Assembly Language Lessons
FFmpeg Assembly Language Lessons. Contribute to FFmpeg/asm-lessons development by creating an account on GitHub.
#python #agent #agentic #agentic_ai #agents #agents_sdk #ai #ai_agents #aiagentframework #genai #genai_chatbot #llm #llms #multi_agent #multi_agent_systems #multi_agents #multi_agents_collaboration
The Agent Development Kit (ADK) is an open-source Python toolkit that helps you easily build, test, and deploy smart AI agents, from simple helpers to complex multi-agent systems. It lets you write agent logic in Python, use many built-in or custom tools, and organize multiple agents to work together. You can deploy agents anywhere, including Google Cloud, and evaluate their performance with built-in tools. ADK supports flexible workflows and works with various AI models, not just Google’s. This means you get full control and flexibility to create powerful AI applications that fit your needs, speeding up development and making it easier to manage AI projects.
https://github.com/google/adk-python
The Agent Development Kit (ADK) is an open-source Python toolkit that helps you easily build, test, and deploy smart AI agents, from simple helpers to complex multi-agent systems. It lets you write agent logic in Python, use many built-in or custom tools, and organize multiple agents to work together. You can deploy agents anywhere, including Google Cloud, and evaluate their performance with built-in tools. ADK supports flexible workflows and works with various AI models, not just Google’s. This means you get full control and flexibility to create powerful AI applications that fit your needs, speeding up development and making it easier to manage AI projects.
https://github.com/google/adk-python
GitHub
GitHub - google/adk-python: An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI…
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control. - google/adk-python
❤1
#python #adk #agent_samples #agents
The Agent Development Kit (ADK) offers ready-made sample agents in Python and Java to help you quickly build AI-powered agents for various tasks, from simple chatbots to complex multi-agent workflows. It supports flexible design, letting you combine multiple specialized agents, use diverse tools, and create adaptable workflows. ADK also includes developer tools for easy testing, debugging, and deployment, and works well with Google’s AI models and other large language models. Using these samples can save you time and effort by providing practical examples and a strong foundation to develop your own intelligent agents efficiently. This helps you focus on your agent’s logic while ADK handles orchestration and scaling.
https://github.com/google/adk-samples
The Agent Development Kit (ADK) offers ready-made sample agents in Python and Java to help you quickly build AI-powered agents for various tasks, from simple chatbots to complex multi-agent workflows. It supports flexible design, letting you combine multiple specialized agents, use diverse tools, and create adaptable workflows. ADK also includes developer tools for easy testing, debugging, and deployment, and works well with Google’s AI models and other large language models. Using these samples can save you time and effort by providing practical examples and a strong foundation to develop your own intelligent agents efficiently. This helps you focus on your agent’s logic while ADK handles orchestration and scaling.
https://github.com/google/adk-samples
GitHub
GitHub - google/adk-samples: A collection of sample agents built with Agent Development Kit (ADK)
A collection of sample agents built with Agent Development Kit (ADK) - GitHub - google/adk-samples: A collection of sample agents built with Agent Development Kit (ADK)
#rust
You can install OpenAI Codex CLI on your computer easily using commands like `npm install -g @openai/codex` or `brew install codex`. It runs locally, letting you interact with AI models directly in your terminal to read, write, and run code safely within a sandboxed environment. You can control how much autonomy Codex has, from read-only to full read/write access with your approval. It supports integration with your ChatGPT Plus or Pro account for free access to advanced models. This tool helps you code faster, fix bugs, and understand code without leaving your terminal, improving productivity and security since your code stays on your machine.
https://github.com/openai/codex
You can install OpenAI Codex CLI on your computer easily using commands like `npm install -g @openai/codex` or `brew install codex`. It runs locally, letting you interact with AI models directly in your terminal to read, write, and run code safely within a sandboxed environment. You can control how much autonomy Codex has, from read-only to full read/write access with your approval. It supports integration with your ChatGPT Plus or Pro account for free access to advanced models. This tool helps you code faster, fix bugs, and understand code without leaving your terminal, improving productivity and security since your code stays on your machine.
https://github.com/openai/codex
GitHub
GitHub - openai/codex: Lightweight coding agent that runs in your terminal
Lightweight coding agent that runs in your terminal - openai/codex
#cplusplus #ai_chat #llm_inference
GPT4All lets you run powerful AI language models directly on your own computer without needing internet, cloud services, or special GPUs. This means your data stays private and secure because nothing leaves your device. You can chat with the AI, ask questions, summarize documents, write code, or create content anytime, even offline. It works on Windows, macOS, and Linux with easy installation and supports many popular AI models. You can also customize it and use it with Python or other tools. This gives you full control, privacy, and flexibility for AI tasks without extra costs or dependencies.
https://github.com/nomic-ai/gpt4all
GPT4All lets you run powerful AI language models directly on your own computer without needing internet, cloud services, or special GPUs. This means your data stays private and secure because nothing leaves your device. You can chat with the AI, ask questions, summarize documents, write code, or create content anytime, even offline. It works on Windows, macOS, and Linux with easy installation and supports many popular AI models. You can also customize it and use it with Python or other tools. This gives you full control, privacy, and flexibility for AI tasks without extra costs or dependencies.
https://github.com/nomic-ai/gpt4all
GitHub
GitHub - nomic-ai/gpt4all: GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use. - nomic-ai/gpt4all
#python #assistant #learning #note_taking #notebook #notes_app #self_learning
Open Notebook is a free, open-source tool that helps you organize and control your research privately without relying on big companies like Google. It supports many AI providers, lets you manage different content types like PDFs and videos, and even create professional multi-speaker podcasts. You can search your notes smartly, chat with AI using your own research as context, and customize everything to fit your needs. It runs on your own computer or cloud, so you keep full control of your data and costs. This means you get a powerful, flexible, and private research assistant tailored to you.
https://github.com/lfnovo/open-notebook
Open Notebook is a free, open-source tool that helps you organize and control your research privately without relying on big companies like Google. It supports many AI providers, lets you manage different content types like PDFs and videos, and even create professional multi-speaker podcasts. You can search your notes smartly, chat with AI using your own research as context, and customize everything to fit your needs. It runs on your own computer or cloud, so you keep full control of your data and costs. This means you get a powerful, flexible, and private research assistant tailored to you.
https://github.com/lfnovo/open-notebook
GitHub
GitHub - lfnovo/open-notebook: An Open Source implementation of Notebook LM with more flexibility and features
An Open Source implementation of Notebook LM with more flexibility and features - lfnovo/open-notebook
#go #2fa #authentication #caddy #golang #middleware #nginx #selfhosted #sso #totp #traefik_middleware #typescipt
Tinyauth is a simple tool that adds a login screen or OAuth login (Google, Github, etc.) to your Docker apps, making them secure easily. It works with popular reverse proxies like Traefik, Nginx, and Caddy. You can quickly set it up using their documentation and demo, and it supports basic authentication and API access. This helps protect your apps from unauthorized access without complex setup. It’s open source, actively developed, and has a helpful community on Discord for support. Using Tinyauth improves your app security with minimal effort and flexible login options.
https://github.com/steveiliop56/tinyauth
Tinyauth is a simple tool that adds a login screen or OAuth login (Google, Github, etc.) to your Docker apps, making them secure easily. It works with popular reverse proxies like Traefik, Nginx, and Caddy. You can quickly set it up using their documentation and demo, and it supports basic authentication and API access. This helps protect your apps from unauthorized access without complex setup. It’s open source, actively developed, and has a helpful community on Discord for support. Using Tinyauth improves your app security with minimal effort and flexible login options.
https://github.com/steveiliop56/tinyauth
GitHub
GitHub - steveiliop56/tinyauth: The simplest way to protect your apps with a login screen.
The simplest way to protect your apps with a login screen. - steveiliop56/tinyauth
#javascript #capture_screenshots #clone #dom #js #screenshot
snapDOM is a very fast and accurate tool that captures any part of a webpage (HTML elements) as images, including styles, fonts, shadows, and even hidden parts like shadow DOM. It can save these captures in many formats like SVG, PNG, JPG, WebP, or canvas, and works without extra dependencies using standard web APIs. You can easily customize the image size, quality, and even exclude parts you don’t want. It handles complex web features and is much faster than similar tools, making it great for quickly creating high-quality snapshots of web content for use in apps or presentations. This saves you time and effort in capturing styled webpage visuals.
https://github.com/zumerlab/snapdom
snapDOM is a very fast and accurate tool that captures any part of a webpage (HTML elements) as images, including styles, fonts, shadows, and even hidden parts like shadow DOM. It can save these captures in many formats like SVG, PNG, JPG, WebP, or canvas, and works without extra dependencies using standard web APIs. You can easily customize the image size, quality, and even exclude parts you don’t want. It handles complex web features and is much faster than similar tools, making it great for quickly creating high-quality snapshots of web content for use in apps or presentations. This saves you time and effort in capturing styled webpage visuals.
https://github.com/zumerlab/snapdom
GitHub
GitHub - zumerlab/snapdom: SnapDOM: DOM Capture Engine – Fast and Accurate HTML Conversion
SnapDOM: DOM Capture Engine – Fast and Accurate HTML Conversion - zumerlab/snapdom
❤1
#typescript #nodejs #openai #typescript
You can use the OpenAI TypeScript and JavaScript library to easily connect your apps to OpenAI’s API, letting you generate text, handle streaming responses, upload files, verify webhooks, and more with simple code. It supports Node.js, Deno, Bun, and browsers (with caution), offers full TypeScript types for better coding accuracy and IDE help, and handles errors and retries automatically. You can also use it with Microsoft Azure OpenAI and build real-time chat with WebSocket. This library saves you time and effort by providing ready-to-use, well-documented tools to integrate AI features smoothly into your JavaScript or TypeScript projects.
https://github.com/openai/openai-node
You can use the OpenAI TypeScript and JavaScript library to easily connect your apps to OpenAI’s API, letting you generate text, handle streaming responses, upload files, verify webhooks, and more with simple code. It supports Node.js, Deno, Bun, and browsers (with caution), offers full TypeScript types for better coding accuracy and IDE help, and handles errors and retries automatically. You can also use it with Microsoft Azure OpenAI and build real-time chat with WebSocket. This library saves you time and effort by providing ready-to-use, well-documented tools to integrate AI features smoothly into your JavaScript or TypeScript projects.
https://github.com/openai/openai-node
GitHub
GitHub - openai/openai-node: Official JavaScript / TypeScript library for the OpenAI API
Official JavaScript / TypeScript library for the OpenAI API - openai/openai-node
#typescript #agentic_ai #agents #ai #claude #copilot #cursor #git #llm #mcp
GitMCP is a free, open-source service that connects AI assistants to any GitHub project’s latest documentation and code using the Model Context Protocol (MCP). This means your AI can access up-to-date, accurate information directly from the source, reducing mistakes and hallucinations when coding or asking questions about libraries, even new or niche ones. You just add a GitMCP URL for your chosen GitHub repo to your AI tool, and it fetches relevant docs and code smartly without setup hassle. This helps you get reliable code examples and API usage instantly, improving your coding efficiency and accuracy. It’s private, easy to use, and works with many AI assistants.
https://github.com/idosal/git-mcp
GitMCP is a free, open-source service that connects AI assistants to any GitHub project’s latest documentation and code using the Model Context Protocol (MCP). This means your AI can access up-to-date, accurate information directly from the source, reducing mistakes and hallucinations when coding or asking questions about libraries, even new or niche ones. You just add a GitMCP URL for your chosen GitHub repo to your AI tool, and it fetches relevant docs and code smartly without setup hassle. This helps you get reliable code examples and API usage instantly, improving your coding efficiency and accuracy. It’s private, easy to use, and works with many AI assistants.
https://github.com/idosal/git-mcp
GitHub
GitHub - idosal/git-mcp: Put an end to code hallucinations! GitMCP is a free, open-source, remote MCP server for any GitHub project
Put an end to code hallucinations! GitMCP is a free, open-source, remote MCP server for any GitHub project - idosal/git-mcp
#python
Buttercup is an AI-powered system that automatically finds and fixes security bugs in open-source software by running smart tests (fuzzing) and then creating patches to fix vulnerabilities. It works mainly on Linux with at least 8 CPU cores, 16 GB RAM, and 100 GB disk space, using AI models from providers like OpenAI or Anthropic. You can easily set it up on your computer, monitor its progress through a web interface, and control costs by limiting AI usage. This helps you improve software security efficiently without manual code review, saving time and reducing risks from software bugs.
https://github.com/trailofbits/buttercup
Buttercup is an AI-powered system that automatically finds and fixes security bugs in open-source software by running smart tests (fuzzing) and then creating patches to fix vulnerabilities. It works mainly on Linux with at least 8 CPU cores, 16 GB RAM, and 100 GB disk space, using AI models from providers like OpenAI or Anthropic. You can easily set it up on your computer, monitor its progress through a web interface, and control costs by limiting AI usage. This helps you improve software security efficiently without manual code review, saving time and reducing risks from software bugs.
https://github.com/trailofbits/buttercup
GitHub
GitHub - trailofbits/buttercup: Buttercup finds and patches software vulnerabilities
Buttercup finds and patches software vulnerabilities - trailofbits/buttercup
#typescript
The GitHub Actions Checkout action lets you download your repository code into the workflow environment so your automation can access it. It supports fetching specific branches, tags, or commits, and can fetch full history or just the latest commit. You can use tokens or SSH keys for authenticated access, enabling secure git commands during workflows. It also supports sparse checkouts to fetch only parts of the repo, and can handle submodules. This action simplifies automating tasks like testing, building, or deploying code by ensuring your workflow has the right code checked out efficiently and securely.
https://github.com/actions/checkout
The GitHub Actions Checkout action lets you download your repository code into the workflow environment so your automation can access it. It supports fetching specific branches, tags, or commits, and can fetch full history or just the latest commit. You can use tokens or SSH keys for authenticated access, enabling secure git commands during workflows. It also supports sparse checkouts to fetch only parts of the repo, and can handle submodules. This action simplifies automating tasks like testing, building, or deploying code by ensuring your workflow has the right code checked out efficiently and securely.
https://github.com/actions/checkout
GitHub
GitHub - actions/checkout: Action for checking out a repo
Action for checking out a repo. Contribute to actions/checkout development by creating an account on GitHub.
#java #distributed_systems #durable_execution #grpc #java #javascript #microservice_orchestration #orchestration_engine #orchestrator #reactjs #spring_boot #workflow_automation #workflow_engine #workflow_management #workflows
Conductor is an open-source tool that helps you manage and automate complex workflows involving many microservices and systems. It makes your workflows flexible, reliable, and scalable by handling retries, errors, and monitoring automatically. You can define workflows as code in JSON, use various task types, and manage workflows dynamically without tightly coupling services. It offers an easy-to-use web interface and supports multiple databases like Redis and MySQL. This helps you build, run, and monitor workflows efficiently, saving time and reducing errors in managing distributed applications. It also has SDKs for Java, Python, JavaScript, Go, and C# to integrate easily with your projects.
https://github.com/conductor-oss/conductor
Conductor is an open-source tool that helps you manage and automate complex workflows involving many microservices and systems. It makes your workflows flexible, reliable, and scalable by handling retries, errors, and monitoring automatically. You can define workflows as code in JSON, use various task types, and manage workflows dynamically without tightly coupling services. It offers an easy-to-use web interface and supports multiple databases like Redis and MySQL. This helps you build, run, and monitor workflows efficiently, saving time and reducing errors in managing distributed applications. It also has SDKs for Java, Python, JavaScript, Go, and C# to integrate easily with your projects.
https://github.com/conductor-oss/conductor
GitHub
GitHub - conductor-oss/conductor: Conductor is an event driven orchestration platform providing durable and highly resilient execution…
Conductor is an event driven orchestration platform providing durable and highly resilient execution engine for your applications - conductor-oss/conductor
❤1