Source: https://seerepo.com/compare/oobabooga/textgen/vs/run-llama/llama_index
Markdown source: https://seerepo.com/compare/oobabooga/textgen/vs/run-llama/llama_index.md
Description: textgen and llama_index share 17 technologies: chromadb, Rich, einops, sentencepiece, transformers, datasets, peft, sentence-transformers, MCP, nltk, tiktoken, lxml, pillow, beautifulsoup4, pymupdf, jinja2, and Pydantic. Both are written in Python.

# textgen vs llama_index

textgen and llama_index share 17 technologies: chromadb, Rich, einops, sentencepiece, transformers, datasets, peft, sentence-transformers, MCP, nltk, tiktoken, lxml, pillow, beautifulsoup4, pymupdf, jinja2, and Pydantic. Both are written in Python.

- [oobabooga/textgen](https://seerepo.com/r/oobabooga/textgen): Open-source desktop app for local LLMs. Text, vision, tool-calling, OpenAI/Anthropic-compatible API. 100% private.
- [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, Rich, einops, sentencepiece, transformers, datasets, peft, sentence-transformers, MCP, nltk, tiktoken, lxml, pillow, beautifulsoup4, pymupdf, jinja2, Pydantic
- Only in textgen: FastAPI, Hugging Face, bitsandbytes, coqui-tts, openai-whisper, torchao, accelerate, diffusers, Optuna, safetensors, spaCy, odfpy, openpyxl, markdown, python-docx, python-pptx
- 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, anyio, graphql-core, tornado, AIOHTTP, Ray, soupsieve, tinycss2, ipywidgets, matplotlib-inline, prompt-toolkit, matplotlib, SQLAlchemy, argon2-cffi, azure-identity, Google, google-auth-httplib2, google-auth-oauthlib, cryptography, pyjwt, msal, firecrawl-py, guardrails-ai, llama-index-core, mem0ai, OpenAI, opencv-python, PaddlePaddle, tavily-python, torch, ibm-watsonx-ai, cohere, LangChain, dashscope, fastembed, flagembedding, litellm, ModelScope, Ollama, openvino, scikit-learn, tritonclient, vLLM, exa-py, flashrank, hnswlib, langfuse, mlx, mlx-lm, nomic, optimum, paddleocr, presidio-analyzer, tokenizers, bleach, markupsafe, mistune, nbformat, newspaper3k, xlrd, bs4, html2text, unstructured, defusedxml, 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, jsonschema, pydantic-core, opentelemetry-api, opentelemetry-semantic-conventions, prometheus-client, psutil, python-json-logger, boto3, docker, Alibaba Cloud, OpenTelemetry

## Side by side

| | textgen | llama_index |
|---|---|---|
| Size | 29,113 lines written, 105 code files | 473,236 lines written, 2,055 code files |
| Who writes it | 0% of its commits signed by AI. With GitHub Copilot | 0.2% of its commits signed by AI. With Claude Code, Cursor, and GitHub Copilot |
| Activity | Last push August 17, 2026, 5,288 commits, 47,737 stars | Last push November 5, 2026, 7,963 commits, 52,820 stars |
| Tests | 1 test files. 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, textgen or llama_index?

llama_index, with 473,236 lines written; textgen has 29,113.

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, textgen or llama_index?

llama_index, with 52,820 stars; textgen has 47,737.

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

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

llama_index, with 1,607 test files; textgen has 1.

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, textgen or llama_index?

llama_index: its last push was on November 5, 2026, and textgen's on August 17, 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, textgen or llama_index?

llama_index: an AI signed 0.2% of its commits, with Claude Code, Cursor, and GitHub Copilot.

## Sources

- oobabooga/textgen: Read on November 5, 2026, at commit c93f887 (https://github.com/oobabooga/textgen/tree/c93f8871239550de2ccfe1e95d469aa82616f07e)
- 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.