Popular GitHub Repositories for Dev Ops

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Turns Data and AI algorithms into production-ready web applications in no time.

<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

AI app store powered by 24/7 desktop history. open source | 100% local | dev friendly | 24/7 screen, mic recording

Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.

? Yao is an all-in-one application engine that enables developers to create web apps, REST APIs, business applications, and more, with AI as a development partner.

? AIGC 提示词可视化编辑器 | OPS | Open Prompt Studio

Serverless AI Workflows for Data & ML Teams

ZenML ?: The bridge between ML and Ops. https://zenml.io.

Stable Diffusion and Flux in pure C/C++

RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry

AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

??AutoDev: The AI-powered coding wizard（AI 驱动编程助手）with multilingual support ?, auto code generation ??, and a helpful bug-slaying assistant ?! Customizable prompts ? and a magic Auto Dev/Testing/Document/Agent feature ? included! ?

The ops and reference implementation for Apache Dubbo.

The ultimate LLM Ops platform - Monitoring, Analytics, Evaluations, Datasets and Prompt Optimization ?

DELTA is a deep learning based natural language and speech processing platform. LF AI & DATA Projects: https://lfaidata.foundation/projects/delta/

A curated list of articles that cover the software engineering best practices for building machine learning applications.

AIConfig is a config-based framework to build generative AI applications.

The collaborative spreadsheet for AI. Chain cells into powerful pipelines, experiment with prompts and models, and evaluate LLM responses in real-time. Work together seamlessly to build and iterate on AI applications.

An open-source ML pipeline development platform