[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-73912":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":9,"language":10,"languages":9,"totalLinesOfCode":9,"stars":11,"forks":12,"watchers":13,"openIssues":14,"contributorsCount":15,"subscribersCount":15,"size":15,"stars1d":15,"stars7d":16,"stars30d":17,"stars90d":15,"forks30d":15,"starsTrendScore":15,"compositeScore":18,"rankGlobal":9,"rankLanguage":9,"license":9,"archived":19,"fork":19,"defaultBranch":20,"hasWiki":21,"hasPages":19,"topics":22,"createdAt":9,"pushedAt":9,"updatedAt":23,"readmeContent":24,"aiSummary":25,"trendingCount":15,"starSnapshotCount":15,"syncStatus":14,"lastSyncTime":26,"discoverSource":27},73912,"ai-engineer-toolkit","break-into-data\u002Fai-engineer-toolkit","break-into-data","Projects & Resources to help you become a better AI Developer. ",null,"TypeScript",2174,417,42,2,0,6,10,60.86,false,"main",true,[],"2026-06-12 04:01:12","# AI Engineer Toolkit 🛠️\n  \nWelcome to the **AI Engineer Toolkit**! \n\nDesigned to help software engineers and non-engineers build production-grade AI applications from scratch. \n  \nYou will find every popular framework, tool, and resource to ship one AI project at a time!\n\n\n\u003Cbr>\n\n## Getting Started\n\n- If you want to learn Agent Engineering Fundamentals, check out [Full stack Agent Engineer Fundementals](.\u002FAgent%20Engineering%20Fundementals) \n\n- If you are **new to AI engineering** check out [AI Engineering Fundementals](.\u002FAI%20Engineering%20Fundementals)  \n\n- If you are **new to software engineering** check out [SWE Fundamentals](.\u002FSWE%20Fundamentals)\n  \n- If you need **inspiration**, check out example projects inside the [sandbox](.\u002Fsandbox). \n  \n- If you are **ready to build**, check out the table below.\n  \n- If you want **more guidance**, check out the upcoming [Agent Engineering Bootcamp](https:\u002F\u002Fmaven.com\u002Fagent-lab\u002Fagent-engineering-bootcamp?promoCode=GITHUB) that starts on June 12th, 2025.  \n\n\n\u003Cbr>\n\n## Tools & Resources for AI Engineers 🏗️\n\nExplore the table below to find the right tools for your AI projects.   \nEach category includes cost details, use cases, and links to official documentation.  \n\n \n\u003Cbr>\n\n| Category            | Tool Name                | Cost Model    | Use Case                                  | Link                                       |\n|----------------------|--------------------------|---------------|-------------------------------------------|--------------------------------------------|\n|😎  **Model Providers**  |                          |               |                                           |                                            |\n|                      | OpenAI API               | Paid API      | GPT models              | [OpenAI](https:\u002F\u002Fplatform.openai.com\u002Fdocs\u002F)  |\n|                      | Grok (xAI)               | Paid API      | Human-like reasoning for complex queries  | [Grok](https:\u002F\u002Fxai.ai\u002Fdocs)                |\n|                      | Google Gemini            | Paid API      | Multimodal AI for text and images         | [Gemini](https:\u002F\u002Fcloud.google.com\u002Fgemini)    |\n|                      | Hugging Face             | Freemium      | Open-source models and hosted inference   | [Hugging Face](https:\u002F\u002Fhuggingface.co\u002Fdocs)        |\n|                      | Anthropic Claude         | Paid API      | Safe, interpretable language models       | [Claude](https:\u002F\u002Fdocs.anthropic.com\u002F)        |\n|📝  **Prompt Engineering** |                        |               |                                           |                                            |\n|                      | DSPy                     | Open-Source   | Automate prompt optimization with code    | [DSPy](https:\u002F\u002Fdspy-docs.vercel.app\u002F)      |\n|                      | LangChain                | Open-Source   | Build prompt-driven AI workflows          | [LangChain](https:\u002F\u002Fpython.langchain.com\u002Fdocs\u002F) |\n|                      | Haystack                 | Open-Source   | Optimize prompts for RAG pipelines        | [Haystack](https:\u002F\u002Fhaystack.deepset.ai\u002F)   |\n|                      | Agenta                   | Open-Source   | Experiment and deploy prompt variants     | [Agenta](https:\u002F\u002Fwww.agenta.ai\u002F)\n|⚙️  **Backend**          |                          |               |                                           |                                            |\n|                      | FastAPI                  | Open-Source   | Fast, modern Python APIs                  | [FastAPI](https:\u002F\u002Ffastapi.tiangolo.com\u002F)      |\n|                      | Flask                    | Open-Source   | Lightweight web apps and APIs             | [Flask](https:\u002F\u002Fflask.palletsprojects.com\u002F) |\n|                      | Django                   | Open-Source   | Robust web framework with ORM             | [Django](https:\u002F\u002Fdocs.djangoproject.com\u002F)    |\n|                      | Node.js (Express)        | Open-Source   | Scalable backend with JavaScript          | [Express](https:\u002F\u002Fexpressjs.com\u002F)             |\n|💻 **Frontend**         |                          |               |                                           |                                            |\n|                      | AI SDK (Vercel)          | Open-Source   | AI-ready UI components for React          | [AI SDK](https:\u002F\u002Fsdk.vercel.ai\u002Fdocs)         |\n|                      | Streamlit                | Open-Source   | Rapid prototyping for data apps           | [Streamlit](https:\u002F\u002Fdocs.streamlit.io\u002F)         |\n|                      | Gradio                   | Open-Source   | Interactive ML model interfaces           | [Gradio](https:\u002F\u002Fgradio.app\u002Fdocs\u002F)           |\n|                      | Dash                     | Open-Source   | Data-driven dashboards with Python        | [Dash](https:\u002F\u002Fdash.plotly.com\u002F)           |\n| 🎈 **Fullstack**        |                          |               |                                           |                                            |\n|                      | Next.js                  | Open-Source   | React with SSR and built-in API routes    | [Next.js](https:\u002F\u002Fnextjs.org\u002Fdocs)            |\n|                      | SvelteKit                | Open-Source   | Lightweight full-stack with Svelte        | [SvelteKit](https:\u002F\u002Fkit.svelte.dev\u002Fdocs)        |\n|                      | Nuxt.js                  | Open-Source   | Vue.js with server-side rendering         | [Nuxt.js](https:\u002F\u002Fnuxt.com\u002Fdocs)              |\n|                      | Meteor                   | Open-Source   | Full-stack JavaScript framework           | [Meteor](https:\u002F\u002Fdocs.meteor.com\u002F)           |\n| 📀 **Databases**        |                          |               |                                           |                                            |\n|                      | Supabase                 | Freemium      | Open-source Firebase alternative          | [Supabase](https:\u002F\u002Fsupabase.com\u002Fdocs)          |\n|                      | PostgreSQL               | Open-Source   | Reliable relational database              | [PostgreSQL](https:\u002F\u002Fwww.postgresql.org\u002Fdocs\u002F)   |\n|                      | MongoDB                  | Open-Source   | Flexible NoSQL for unstructured data      | [MongoDB](https:\u002F\u002Fdocs.mongodb.com\u002F)          |\n|                      | SQLite                   | Open-Source   | Lightweight, serverless database          | [SQLite](https:\u002F\u002Fwww.sqlite.org\u002Fdocs.html)   |\n| 🔢 **Vector Databases** |                          |               |                                           |                                            |\n|                      | ChromaDB                 | Open-Source   | Simple vector store for embeddings        | [ChromaDB](https:\u002F\u002Fdocs.trychroma.com\u002F)        |\n|                      | Pinecone                 | Paid API      | Scalable, hosted vector search            | [Pinecone](https:\u002F\u002Fdocs.pinecone.io\u002F)          |\n|                      | Weaviate                 | Open-Source   | GraphQL-based vector database             | [Weaviate](https:\u002F\u002Fweaviate.io\u002Fdevelopers\u002Fweaviate) |\n|                      | Qdrant                   | Open-Source   | High-performance vector search            | [Qdrant](https:\u002F\u002Fqdrant.tech\u002Fdocumentation\u002F) |\n| 📻 **Fine-tuning**      |                          |               |                                           |                                            |\n|                      | OpenAI Fine-Tuning       | Paid API      | Customize GPT models for your needs       | [OpenAI Fine-Tuning](https:\u002F\u002Fplatform.openai.com\u002Fdocs\u002Fguides\u002Ffine-tuning) |\n|                      | Hugging Face Trainer     | Open-Source   | Fine-tune transformers easily             | [Hugging Face Trainer](https:\u002F\u002Fhuggingface.co\u002Fdocs\u002Ftransformers\u002Ftraining) |\n|                      | Ludwig                   | Open-Source   | Declarative fine-tuning for ML models     | [Ludwig](https:\u002F\u002Fludwig.ai\u002Flatest\u002F)          |\n|                      | PyTorch Lightning        | Open-Source   | Structured fine-tuning with PyTorch       | [PyTorch Lightning](https:\u002F\u002Flightning.ai\u002Fdocs\u002Fpytorch)  |\n| 🤖 **Agent Development**|                          |               |                                           |                                            |\n|                      | LangGraph                | Open-Source   | Stateful agents with LangChain            | [LangGraph](https:\u002F\u002Flangchain-ai.github.io\u002Flanggraph\u002F) |\n|                      | AG2 (AgentGraph)         | Open-Source   | Multi-agent orchestrators              | [AG2](https:\u002F\u002Fgithub.com\u002Fag2ai\u002Fag2)  |\n|                      | CrewAI                   | Open-Source   | Multi-agent workflows for automation      | [CrewAI](https:\u002F\u002Fdocs.crewai.com\u002F)           |\n|                      | AutoGen                  | Open-Source   | Conversational agents with flexibility    | [AutoGen](https:\u002F\u002Fmicrosoft.github.io\u002Fautogen\u002F) |\n|                      | Wetrocloud                  | Paid API   | RAG development with any resource type (YouTube, web, doc, json, etc.)    | [Wetrocloud](https:\u002F\u002Fwetrocloud.com\u002F) |\n|                      | Contextual AI                  | Paid API   | End-to-end RAG including document understanding, retrieval, grounded generation, and evaluation    | [Contextual AI](https:\u002F\u002Fcontextual.ai) |\n| 🕸️ **Web Data Access**  |                          |               |                                           |                                            |\n|                      | Firecrawl                | Freemium      | Web scraping with caching                 | [Firecrawl](https:\u002F\u002Ffirecrawl.dev\u002F)             |\n|                      | Jina AI Reader API       | Freemium      | Extract structured data from web pages    | [Jina AI](https:\u002F\u002Fjina.ai\u002Freader)             |\n|                      | Puppeteer                | Open-Source   | Dynamic content scraping via browser      | [Puppeteer](https:\u002F\u002Fpptr.dev\u002F)                  |\n|                      | Crawlee-Python                   | Open-Source   | A web scraping and browser automation library to build reliable crawlers in Python           | [Crawlee-Python](https:\u002F\u002Fgithub.com\u002Fapify\u002Fcrawlee-python)           |\n| 🤔 **Evaluation Frameworks** |                     |               |                                           |                                            |\n|                      | RAGAS                    | Open-Source   | Evaluate RAG pipelines                    | [RAGAS](https:\u002F\u002Fdocs.ragas.io\u002F)             |\n|                      | DeepEval                 | Open-Source   | Custom metrics for LLM evaluation         | [DeepEval](https:\u002F\u002Fdocs.deepeval.com\u002F)         |\n|                      | LangSmith                | Freemium      | Debug and evaluate LLM apps               | [LangSmith](https:\u002F\u002Fdocs.smith.langchain.com\u002F)  |\n|                      | TruLens                  | Open-Source   | Ground truth evaluation for LLMs          | [TruLens](https:\u002F\u002Ftrulens.org\u002F)               |\n|                      | AgentEvals               | Open-source   | A collection of evaluators for agent steps | [AgentEvals](https:\u002F\u002Fgithub.com\u002Flangchain-ai\u002Fagentevals)   |   \n|                      | LMUnit                   | Open-source   | Language model optimized for evaluating natural language unit tests | [LMUnit](https:\u002F\u002Fdocs.contextual.ai\u002Fapi-reference\u002Flmunit\u002Flmunit) |                       \n| 📊 **Monitoring & Logging** |                     |               |                                           |                                            |\n|                      | LangSmith                | Freemium      | Monitor and trace LLM applications        | [LangSmith](https:\u002F\u002Fdocs.smith.langchain.com\u002F)  |\n|                      | Sentry                   | Freemium      | Real-time error tracking                  | [Sentry](https:\u002F\u002Fdocs.sentry.io\u002F)            |\n|                      | Prometheus               | Open-Source   | Metrics and alerting for systems          | [Prometheus](https:\u002F\u002Fprometheus.io\u002Fdocs\u002F)        |\n|                      | Grafana                  | Open-Source   | Visualize logs and metrics                | [Grafana](https:\u002F\u002Fgrafana.com\u002Fdocs\u002F)          |\n| 🔊 **Audio**            |                          |               |                                           |                                            |\n|                      | Whisper (OpenAI)         | Open-Source   | High-accuracy speech-to-text              | [Whisper](https:\u002F\u002Fgithub.com\u002Fopenai\u002Fwhisper)  |\n|                      | DeepSpeech               | Open-Source   | End-to-end speech recognition             | [DeepSpeech](https:\u002F\u002Fgithub.com\u002Fmozilla\u002FDeepSpeech) |\n|                      | Coqui TTS                | Open-Source   | Text-to-speech with diverse voices        | [Coqui TTS](https:\u002F\u002Fdocs.coqui.ai\u002F)             |\n|                      | SpeechBrain              | Open-Source   | All-in-one audio processing toolkit       | [SpeechBrain](https:\u002F\u002Fspeechbrain.github.io\u002F)     |\n| 👀 **Vision**           |                          |               |                                           |                                            |\n|                      | YOLO                     | Open-Source   | Real-time object detection                | [YOLO](https:\u002F\u002Fdocs.ultralytics.com\u002F)      |\n|                      | OpenCV                   | Open-Source   | Versatile computer vision library         | [OpenCV](https:\u002F\u002Fdocs.opencv.org\u002F)           |\n|                      | Detectron2               | Open-Source   | Advanced detection and segmentation       | [Detectron2](https:\u002F\u002Fdetectron2.readthedocs.io\u002F) |\n|                      | CLIP (OpenAI)            | Open-Source   | Image-text understanding and search       | [CLIP](https:\u002F\u002Fgithub.com\u002Fopenai\u002FCLIP)     |\n| 🚀 **Deployment Tools** |                          |               |                                           |                                            |\n|                      | Vercel                   | Freemium      | Deploy full-stack apps with ease          | [Vercel](https:\u002F\u002Fvercel.com\u002Fdocs)          |\n|                      | Docker                   | Open-Source   | Containerize apps for consistent deployment | [Docker](https:\u002F\u002Fdocs.docker.com\u002F)         |\n|                      | Kubernetes               | Open-Source   | Orchestrate and scale containerized apps  | [Kubernetes](https:\u002F\u002Fkubernetes.io\u002Fdocs\u002F)  |\n|                      | Heroku                   | Freemium      | Quick deployment for prototypes and MVPs  | [Heroku](https:\u002F\u002Fdevcenter.heroku.com\u002F)    |\n|                      | Render                   | Freemium      | Build, deploy, and scale your apps with ease  | [Render](https:\u002F\u002Frender.com\u002Fdocs\u002F) |\n\n","AI Engineer Toolkit 是一个旨在帮助软件工程师和非工程师从零开始构建生产级AI应用的项目。它汇集了多种流行的框架、工具和资源，覆盖了从基础学习到实际开发的全过程，包括但不限于模型提供商（如OpenAI API、Hugging Face等）、提示工程工具（如DSPy、LangChain）等。每个类别下的工具都附有详细的成本模式、使用场景及官方文档链接，便于用户根据自身需求选择合适的工具。该项目特别适合对人工智能感兴趣的新手以及希望提升技能的专业开发者，在实际工作中快速搭建或优化AI解决方案。","2026-06-11 03:47:54","high_star"]