12 open-source projects share topics or a category with ms-swift. Each comparison below is drawn from recorded GitHub metadata — language, license, activity and review status. None of them is a judgement about which is better for you.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.
Choose inference if…
you specifically need artificial-intelligence or deployment
Run GLM-5.3 (744B), GLM-5.3-Flash (321B), DeepSeek-V4.1-Flash (748B) and MiniMax-M3.1-Flash (428B) on your own GPUs - one engine, one dashboard, OpenAI- and Anthropic-compatible API.
Choose project-maya if…
you would rather work in C++ than Python
MIT License suits your use better than Apache License 2.0
you prefer a smaller, narrower project to a large one
Never stop coding. Free MIT AI gateway: one endpoint, 352 providers (150+ free), 1200+ models Kimi, Claude, GPT, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cline & Copilot. Quota-aware auto-fallback, RTK+Caveman compression saves 15-95% tokens, MCP/A2A, Desktop/PWA. Built by 550+ contributors
Choose OmniRoute if…
you would rather work in TypeScript than Python
MIT License suits your use better than Apache License 2.0