Source: https://seerepo.com/compare/run-llama/llama_index/vs/ScrapeGraphAI/Scrapegraph-ai
Markdown source: https://seerepo.com/compare/run-llama/llama_index/vs/ScrapeGraphAI/Scrapegraph-ai.md
Description: llama_index and Scrapegraph-ai share 6 technologies: LangChain, tiktoken, beautifulsoup4, html2text, Pydantic, and jsonschema. Both are written in Python.

# llama_index vs Scrapegraph-ai

llama_index and Scrapegraph-ai share 6 technologies: LangChain, tiktoken, beautifulsoup4, html2text, Pydantic, and jsonschema. Both are written in Python.

- [run-llama/llama_index](https://seerepo.com/r/run-llama/llama_index): LlamaIndex is the document processing platform for AI
- [ScrapeGraphAI/Scrapegraph-ai](https://seerepo.com/r/ScrapeGraphAI/Scrapegraph-ai): Python scraper based on AI

## What they share and what sets them apart

- In common: LangChain, tiktoken, beautifulsoup4, html2text, Pydantic, jsonschema
- 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, chromadb, falkordb, MySQL, pinecone, clickhouse-connect, gcsfs, pyiceberg, pymochow, pymysql, pyobvector, s3fs, tcvectordb, typesense, ElevenLabs, anyio, graphql-core, tornado, AIOHTTP, Ray, soupsieve, tinycss2, ipywidgets, matplotlib-inline, prompt-toolkit, matplotlib, Rich, SQLAlchemy, argon2-cffi, azure-identity, Google, google-auth-httplib2, google-auth-oauthlib, cryptography, pyjwt, msal, einops, firecrawl-py, guardrails-ai, llama-index-core, mem0ai, OpenAI, opencv-python, PaddlePaddle, tavily-python, torch, transformers, ibm-watsonx-ai, cohere, MCP, sentence-transformers, dashscope, fastembed, flagembedding, nltk, sentencepiece, litellm, ModelScope, Ollama, openvino, scikit-learn, tritonclient, vLLM, datasets, exa-py, flashrank, hnswlib, langfuse, mlx, mlx-lm, nomic, optimum, paddleocr, peft, presidio-analyzer, tokenizers, bleach, markupsafe, mistune, nbformat, newspaper3k, xlrd, pillow, bs4, unstructured, defusedxml, jinja2, lxml, pymupdf, filetype, docx2txt, markdownify, docling, lxml-html-clean, markitdown, nbconvert, pdf2image, pdfplumber, pypdf, pypdf2, tinytag, youtube-transcript-api, jsonschema-specifications, marshmallow, referencing, rfc3339-validator, docling-core, annotated-types, pydantic-core, opentelemetry-api, opentelemetry-semantic-conventions, prometheus-client, psutil, python-json-logger, boto3, docker, Alibaba Cloud, OpenTelemetry
- Only in Scrapegraph-ai: langchain-openai, langchain-ollama, langchain-mistralai, langchain-aws, langchain-classic

## Side by side

| | llama_index | Scrapegraph-ai |
|---|---|---|
| Size | 473,236 lines written, 2,055 code files | 29,962 lines written, 140 code files |
| Who writes it | 0.2% of its commits signed by AI. With Claude Code, Cursor, and GitHub Copilot | 1.8% of its commits signed by AI. With Claude Code, GitHub Copilot, Cursor, and Jules |
| Activity | Last push November 5, 2026, 7,963 commits, 52,820 stars | Last push October 6, 2026, 2,198 commits, 32,596 stars |
| Tests | 1,607 test files. 46.5% of its code files have a test that imports them | 58 test files. 25.7% 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, llama_index or Scrapegraph-ai?

llama_index, with 473,236 lines written; Scrapegraph-ai has 29,962.

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, llama_index or Scrapegraph-ai?

llama_index, with 52,820 stars; Scrapegraph-ai has 32,596.

The proof: [run-llama/llama_index on GitHub](https://github.com/run-llama/llama_index)

### Which has more tests, llama_index or Scrapegraph-ai?

llama_index, with 1,607 test files; Scrapegraph-ai has 58.

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, llama_index or Scrapegraph-ai?

llama_index: its last push was on November 5, 2026, and Scrapegraph-ai's on October 6, 2026.

The proof: [run-llama/llama_index's commits on GitHub](https://github.com/run-llama/llama_index/commits)

### Which has more commits signed by AI, llama_index or Scrapegraph-ai?

Scrapegraph-ai: an AI signed 1.8% of its commits, with Claude Code, GitHub Copilot, Cursor, and Jules; in llama_index, 0.2%.

The proof: [the commits each tool signed in ScrapeGraphAI/Scrapegraph-ai](https://seerepo.com/r/ScrapeGraphAI/Scrapegraph-ai/ai)

## Sources

- run-llama/llama_index: Read on November 5, 2026, at commit 444fdf0 (https://github.com/run-llama/llama_index/tree/444fdf0684707de62ebb447d658dba137dd9cb99)
- ScrapeGraphAI/Scrapegraph-ai: Read on November 7, 2026, at commit 194055e (https://github.com/ScrapeGraphAI/Scrapegraph-ai/tree/194055e203afce41ed4e70365dbc416bad756115)

## 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.