ColossalAI vs llama_index
ColossalAI and llama_index share 29 technologies: chromadb, anyio, Ray, matplotlib, Rich, SQLAlchemy, ModelScope, OpenAI, scikit-learn, sentence-transformers, tiktoken, torch, transformers, LangChain, peft, datasets, vLLM, einops, sentencepiece, tokenizers, jinja2, markupsafe, pypdf, unstructured, pillow, annotated-types, pydantic-core, Pydantic, and psutil. Both are written in Python.
What they share and what sets them apart
hpcaitech
ColossalAI
Making large AI models cheaper, faster and more accessible
Python41.4kRead on November 6, 2026, at commit da8f5c2What is ColossalAI built with?Only in ColossalAI
- FastAPI
uvicorn
- Hugging Face
- Gradio
seaborn
- triton
diffusers
- flash-attn
timm
safetensors
- bitsandbytes
accelerate
- galore-torch
- math-verify
torchaudio
torchvision
markdown-it-py
- mdurl
- jsonlines
In common
run-llama
llama_index
LlamaIndex is the document processing platform for AI
Python52.8kRead on November 5, 2026, at commit 444fdf0What is llama_index built with?Only in llama_index
starlette
- aiomysql
- aiosqlite
- async-lru
- asyncpg
- azure-search-documents
- azure-storage-blob
- ibm-db
- pgvecto-rs
pgvector
psycopg
psycopg2-binary
- pyzmq
- Redis
weaviate-client
pyarrow
lancedb
oracledb
- DuckDB
- pymilvus
- SQLite
- tablestore
falkordb
- MySQL
pinecone
clickhouse-connect
- gcsfs
pyiceberg
pymochow
- pymysql
- pyobvector
- s3fs
- tcvectordb
typesense
- ElevenLabs
- graphql-core
tornado
- AIOHTTP
- soupsieve
- tinycss2
- ipywidgets
- matplotlib-inline
prompt-toolkit
- argon2-cffi
- azure-identity
google-auth-httplib2
google-auth-oauthlib
- cryptography
- pyjwt
- msal
firecrawl-py
- guardrails-ai
llama-index-core
- mem0ai
opencv-python
- PaddlePaddle
- tavily-python
- ibm-watsonx-ai
cohere
- MCP
dashscope
- fastembed
- flagembedding
nltk
litellm
- Ollama
- openvino
- tritonclient
- exa-py
- flashrank
- hnswlib
langfuse
mlx
- mlx-lm
nomic
optimum
- paddleocr
presidio-analyzer
- beautifulsoup4
- bleach
mistune
- nbformat
- newspaper3k
- xlrd
- bs4
- html2text
- defusedxml
lxml
pymupdf
- filetype
- docx2txt
- markdownify
docling
- lxml-html-clean
- markitdown
- nbconvert
- pdf2image
- pdfplumber
pypdf2
tinytag
- youtube-transcript-api
- jsonschema-specifications
marshmallow
- referencing
- rfc3339-validator
docling-core
- jsonschema
- opentelemetry-api
opentelemetry-semantic-conventions
prometheus-client
- python-json-logger
- boto3
- docker
- Alibaba Cloud
- OpenTelemetry
Side by side
ColossalAIllama_index
SizeLines written by people and agents, without generated ones; code files, without tests.
ColossalAI317,403 lines written974 code files
llama_index473,236 lines written2,055 code files
Who writes itA commit counts as AI's when it carries its signature: a Co-Authored-By line, its author name or the merge of its branch.
ColossalAI0.3% of its commits signed by AIWith Codex and Claude Code
llama_index0.2% of its commits signed by AIWith Claude Code, Cursor, and GitHub Copilot
ActivityFrom GitHub and its history, on the day SeeRepo read it.
ColossalAILast push November 6, 20263,887 commits41,430 stars
llama_indexLast push November 5, 20267,963 commits52,820 stars
TestsThe files that test the code, and the share of code files a test imports.
ColossalAI505 test files1.1% of its code files have a test that imports them
llama_index1,607 test files46.5% of its code files have a test that imports them
Frequently asked questions
Which is bigger, ColossalAI or llama_index?
llama_index, with 473,236 lines written; ColossalAI has 317,403.
Which has more GitHub stars, ColossalAI or llama_index?
llama_index, with 52,820 stars; ColossalAI has 41,430.
The proof: run-llama/llama_index on GitHub
Which has more tests, ColossalAI or llama_index?
llama_index, with 1,607 test files; ColossalAI has 505.
Which was updated more recently, ColossalAI or llama_index?
ColossalAI: its last push was on November 6, 2026, and llama_index's on November 5, 2026.
The proof: hpcaitech/ColossalAI's commits on GitHub
Which has more commits signed by AI, ColossalAI or llama_index?
ColossalAI: an AI signed 0.3% of its commits, with Codex and Claude Code; in llama_index, 0.2%.
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