Source: https://seerepo.com/compare/hpcaitech/ColossalAI/vs/run-llama/llama_index
Markdown source: https://seerepo.com/compare/hpcaitech/ColossalAI/vs/run-llama/llama_index.md
Description: 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.

# 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.

- [hpcaitech/ColossalAI](https://seerepo.com/r/hpcaitech/ColossalAI): Making large AI models cheaper, faster and more accessible
- [run-llama/llama_index](https://seerepo.com/r/run-llama/llama_index): LlamaIndex is the document processing platform for AI

## What they share and what sets them apart

- In common: 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, psutil
- 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
- 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, 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

| | ColossalAI | llama_index |
|---|---|---|
| Size | 317,403 lines written, 974 code files | 473,236 lines written, 2,055 code files |
| Who writes it | 0.3% of its commits signed by AI. With Codex and Claude Code | 0.2% of its commits signed by AI. With Claude Code, Cursor, and GitHub Copilot |
| Activity | Last push November 6, 2026, 3,887 commits, 41,430 stars | Last push November 5, 2026, 7,963 commits, 52,820 stars |
| Tests | 505 test files. 1.1% of its code files have a test that imports them | 1,607 test files. 46.5% of its code files have a test that imports them |

- Size: Lines written by people and agents, without generated ones; code files, without tests.
- Who writes it: A commit counts as AI's when it carries its signature: a Co-Authored-By line, its author name or the merge of its branch.
- Activity: From GitHub and its history, on the day SeeRepo read it.
- Tests: The files that test the code, and the share of code files a test imports.

## Frequently asked questions

### Which is bigger, ColossalAI or llama_index?

llama_index, with 473,236 lines written; ColossalAI has 317,403.

The proof: [run-llama/llama_index's code at commit 444fdf0](https://github.com/run-llama/llama_index/tree/444fdf0684707de62ebb447d658dba137dd9cb99)

### 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](https://github.com/run-llama/llama_index)

### Which has more tests, ColossalAI or llama_index?

llama_index, with 1,607 test files; ColossalAI has 505.

The proof: [run-llama/llama_index's code at commit 444fdf0](https://github.com/run-llama/llama_index/tree/444fdf0684707de62ebb447d658dba137dd9cb99)

### 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](https://github.com/hpcaitech/ColossalAI/commits)

### 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%.

## Sources

- hpcaitech/ColossalAI: Read on November 6, 2026, at commit da8f5c2 (https://github.com/hpcaitech/ColossalAI/tree/da8f5c2dd56f97d3d23d3d222b114e1a3d4710f5)
- run-llama/llama_index: Read on November 5, 2026, at commit 444fdf0 (https://github.com/run-llama/llama_index/tree/444fdf0684707de62ebb447d658dba137dd9cb99)

## What is your repo built with?

Any public repo, with no account: https://seerepo.com/r/owner/repo/built, with the owner and name it has on GitHub.