What is ColossalAI built with?
ColossalAI is a Python repo built with FastAPI, uvicorn, anyio, and Ray. It reaches it with SQLAlchemy, uses AI through ModelScope, openai, scikit-learn, sentence-transformers, tiktoken, and 20 more, makes its content with jinja2, markdown-it-py, markupsafe, mdurl, pypdf, and 3 more, validates its data with annotated-types, pydantic-core, and Pydantic, is tested with Pytest, deploys with psutil, and uses chromadb and Hugging Face. It has 317,403 written lines, with 505 test files.
Read on November 6, 2026, at commit da8f5c2. Read it as markdown
Frontend
Interface 4
matplotlib2 files
- Rich1 file
- Gradio
seaborn
Backend
Data 1
Data access 1
- SQLAlchemy2 files
AI 25
- torch649 files
- LangChain15 files
peft10 files
diffusers9 files
timm6 files
safetensors5 files
- vLLM3 files
accelerate1 file
tokenizers1 file
torchaudio1 file
torchvision1 file
- ModelScope
openai
- scikit-learn
sentence-transformers
- transformers135 files
- triton11 files
- flash-attn9 files
- datasets7 files
- bitsandbytes3 files
- einops2 files
- galore-torch1 file
- math-verify1 file
- sentencepiece1 file
- tiktoken
Services 1
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