#javascript #apis #automation #cli #data #data_flow #datasets #event_source #event_sources #event_sourcing #eventsourcing #eventstream #integration_flow #integrations #ipaas #low_code #low_code_development_platform #realtime #workflow #workflows

https://github.com/PipedreamHQ/pipedream

#go #distributed_systems #golang #microservice_framework #microservice_orchestration #microservices_architecture #service_bus #service_fabric #workflow_automation #workflow_engine #workflow_management #workflow_management_system #workflows

https://github.com/temporalio/temporal

#shell #actions #change_detection #change_directory #changed #changed_file #changedetection #ci #ci_cd #continuous_integration #github #github_action #github_actions #github_actions_ci #modified #modified_files #monorepo #regex_match #request_review #submodules #workflows

https://github.com/tj-actions/changed-files

#csharp #dotnet #elsa #hacktoberfest #workflows

https://github.com/elsa-workflows/elsa-core

#typescript #agent #ai #anthropic #backend_as_a_service #chatbot #gemini #genai #gpt #gpt_4 #llama3 #llm #llmops #nextjs #openai #orchestration #python #rag #workflow #workflows

Dify is an open-source platform for developing AI applications, especially those using Large Language Models (LLMs). It offers a user-friendly interface to build and test AI workflows, integrate various LLMs, and manage models. Key features include a visual workflow builder, comprehensive model support (including GPT, Mistral, and more), a prompt IDE for crafting and testing prompts, RAG pipeline capabilities for document ingestion and retrieval, and agent capabilities with pre-built tools like Google Search and DALL·E.

Using Dify, you can quickly move from prototyping to production with features like observability to monitor application performance and backend-as-a-service for easy integration into your business logic. You can deploy Dify via their cloud service or self-host it in your environment. This makes it highly versatile and beneficial for developers looking to leverage AI efficiently in their projects.

https://github.com/langgenius/dify

#typescript #admin_dashboard #admin_panels #app_builder #automation #crud #custom_internal #developer_tools #gui #gui_application #hacktoberfest #internal_tools #java #javascript #low_code #low_code_framework #react #self_hosted #typescript #webdevelopment #workflows

Appsmith is a free, open-source tool that helps you quickly build internal applications like dashboards, database GUIs, and admin panels. It simplifies the development process, allowing you to create these apps faster. You can start using Appsmith by signing up on their cloud platform or installing it on your machine using methods like Docker, Kubernetes, or AWS AMI. There are also plenty of learning resources available, including documentation, tutorials, videos, and templates. If you need help, you can join their Discord community or contact support directly. This tool is especially beneficial because it saves time and makes building internal apps easier and more efficient.

https://github.com/appsmithorg/appsmith

#typescript #agents #ai #chatbots #evals #javascript #llm #mcp #nextjs #nodejs #reactjs #tts #typescript #workflows

Mastra is a tool that helps you build AI applications quickly using TypeScript. It provides features like workflows, agents, and integrations with various AI models from OpenAI, Anthropic, and Google Gemini. You can run Mastra on your local machine or deploy it to a cloud server. It includes tools for automating tasks, building knowledge bases, and testing AI outputs. To get started, you need Node.js and an API key from an LLM provider. Mastra simplifies the process of creating and managing AI applications, making it easier to develop and test your projects efficiently.

https://github.com/mastra-ai/mastra

#nextflow #dsl2 #modules #nextflow #nf_core #nf_test #pipelines #workflows

Using **nf-core** helps you create and run bioinformatics pipelines easily. It provides a collection of ready-made modules for tools like `fastqc` and `bwa`, which you can add to your pipelines. This makes it easy to share and reuse code across different projects. **nf-core** also helps ensure that your analyses are reliable and can be repeated by others, which is important for scientific research. You can easily install, update, and manage these modules using **nf-core tools**, making your work more efficient and consistent.

https://github.com/nf-core/modules

#go #agents #ai #caching #ci_cd #containers #continuous_deployment #continuous_integration #dag #dagger #devops #docker #graphql #workflows

Dagger is a tool that helps make workflows easier to manage. It lets you break down complex tasks into smaller, reusable parts that can run in different environments. This means you can work with many languages and tools without worrying about compatibility issues. Dagger also helps you see what's happening in your workflows, making it easier to fix problems. It saves time and money by caching results, so you don't have to redo tasks. Overall, Dagger makes it simpler to build and manage workflows, especially for AI and software development tasks.

https://github.com/dagger/dagger

#ruby #angular #bcf #boards #bug_tracker #gantt #gantt_chart #ifc #issue_tracker #kanban #openproject #project_management #project_planning #roadmap #ruby #scrum #timeline #workflows

OpenProject is a powerful tool for managing projects. It helps teams work together by organizing tasks, tracking time, and setting budgets. You can use it for both traditional and agile project management. It offers features like Gantt charts, Kanban boards, and bug tracking. OpenProject is open-source, meaning it's free and customizable. You can choose to host it on your own servers or use their cloud service. This flexibility and collaboration make it a great choice for teams looking to manage projects efficiently.

https://github.com/opf/openproject

#typescript #agents #ai #cloudflare #durable_objects #workflows

Cloudflare Agents helps developers build intelligent AI systems that can remember things, communicate in real-time, and work on their own at a global scale. These AI agents can maintain their state and memory, allowing them to learn from interactions and respond better over time. The benefit to users is that they can create powerful AI tools more easily and affordably, without needing complex infrastructure. This means users can automate tasks more efficiently and make their AI systems smarter and more responsive.

https://github.com/cloudflare/agents

#typescript #cli #clustering #concurrency #dependency_injection #effect #error_handling #javascript #observability #opentelemetry #platform #schema #typescript #workflows

Effect is a powerful TypeScript framework that helps you build reliable and complex applications by managing side effects like logging, network calls, and database operations in a safe and organized way. It uses a core `Effect` type to describe workflows that are lazy, composable, and type-safe, allowing you to handle errors and dependencies explicitly. The framework is modular, with many packages for AI, CLI tools, distributed computing, SQL databases, and more, making it flexible for various needs. Using Effect improves code quality, concurrency handling, and maintainability, helping you write robust TypeScript apps efficiently[1][2][4][5].

https://github.com/Effect-TS/effect