Source: https://seerepo.com/compare/LearningCircuit/local-deep-research/vs/run-llama/llama_index
Markdown source: https://seerepo.com/compare/LearningCircuit/local-deep-research/vs/run-llama/llama_index.md
Description: local-deep-research and llama_index share 28 technologies: anyio, OpenAI, starlette, AIOHTTP, soupsieve, Rich, SQLAlchemy, pyjwt, tiktoken, LangChain, MCP, sentence-transformers, beautifulsoup4, defusedxml, pdfplumber, pypdf, jinja2, lxml, markupsafe, unstructured, annotated-types, jsonschema, jsonschema-specifications, referencing, Pydantic, boto3, OpenTelemetry, and opentelemetry-semantic-conventions. Both are written in Python.

# local-deep-research vs llama_index

local-deep-research and llama_index share 28 technologies: anyio, OpenAI, starlette, AIOHTTP, soupsieve, Rich, SQLAlchemy, pyjwt, tiktoken, LangChain, MCP, sentence-transformers, beautifulsoup4, defusedxml, pdfplumber, pypdf, jinja2, lxml, markupsafe, unstructured, annotated-types, jsonschema, jsonschema-specifications, referencing, Pydantic, boto3, OpenTelemetry, and opentelemetry-semantic-conventions. Both are written in Python.

- [LearningCircuit/local-deep-research](https://seerepo.com/r/LearningCircuit/local-deep-research):  ~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.
- [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: anyio, OpenAI, starlette, AIOHTTP, soupsieve, Rich, SQLAlchemy, pyjwt, tiktoken, LangChain, MCP, sentence-transformers, beautifulsoup4, defusedxml, pdfplumber, pypdf, jinja2, lxml, markupsafe, unstructured, annotated-types, jsonschema, jsonschema-specifications, referencing, Pydantic, boto3, OpenTelemetry, opentelemetry-semantic-conventions
- Only in local-deep-research: FastAPI, gitdb, s3transfer, uvicorn, werkzeug, Bootstrap, Chart.js, chartjs-adapter-date-fns, chartjs-plugin-annotation, bootstrap-icons, Font Awesome, peewee, alembic, ecdsa, id, keyring, langchain-openai, faiss-cpu, langchain-ollama, langchain-anthropic, crawl4ai, docutils, markdown-it-py, mdurl, nh3, readme-renderer, ruamel-yaml, ruamel-yaml-clib, xmltodict, dompurify, extruct, highlight.js, html2canvas, jspdf, justext, katex, markdown, marked, marked-katex-extension, readabilipy, beartype, rfc3986, schema, botocore, docker, opentelemetry-instrumentation, opentelemetry-instrumentation-requests, opentelemetry-instrumentation-threading, opentelemetry-util-http, structlog
- Only in llama_index: aiomysql, aiosqlite, async-lru, asyncpg, azure-cosmos, azure-data-tables, azure-search-documents, azure-storage-blob, ibm-db, nebula3-python, oss2, pgml, pgvecto-rs, pgvector, pickleshare, psycopg, psycopg2-binary, pyathena, pydrive, pylance, pymongo, python-arango, pyvespa, pyzmq, Redis, snowflake-sqlalchemy, tantivy, weaviate-client, Neo4j, aioboto3, pyarrow, lancedb, oracledb, DuckDB, pymilvus, pysolr, SQLite, tablestore, aperturedb, astrapy, chromadb, dashvector, falkordb, jaguardb-http-client, MySQL, pinecone, clickhouse-connect, couchdb3, gcsfs, opendal, opengauss-sqlalchemy, pyairtable, pyiceberg, pymochow, pymysql, pyobvector, s3fs, singlestoredb, tcvectordb, typesense, ElevenLabs, graphql-core, jupyter-core, jupyterlab-server, tornado, Ray, jupyterlab-pygments, tinycss2, ipywidgets, jupyter-server-terminals, jupyterlab-widgets, matplotlib-inline, prompt-toolkit, widgetsnbextension, matplotlib, argon2-cffi, argon2-cffi-bindings, azure-identity, Google, google-auth-httplib2, google-auth-oauthlib, cryptography, msal, argilla, azure-ai-agents, azure-ai-inference, azure-ai-projects, contextual-client, diff-cover, einops, firecrawl-py, friendli-client, guardrails-ai, llama-cpp-python, llama-index-core, llama-index-embeddings-dashscope, llama-index-embeddings-huggingface, llama-index-embeddings-openai, llama-index-llms-anthropic, llama-index-llms-azure-openai, llama-index-llms-huggingface, llama-index-llms-llama-cpp, llama-index-llms-openai, llama-index-llms-openai-like, llama-index-node-parser-dashscope, llama-index-program-guidance, llama-index-readers-dashscope, llama-index-readers-database, llama-index-readers-remote, llama-index-readers-upstage, llama-index-readers-web, llama-index-response-synthesizers-google, llama-index-utils-azure, llama-index-utils-huggingface, llama-index-utils-qianfan, llama-index-vector-stores-google, llama-index-workflows, mem0ai, ms-swift, open-clip-torch, opencv-python, openinference-instrumentation-llama-index, openvino-tokenizers, PaddlePaddle, portkey-ai, reka-api, tavily-python, typecast-python, torch, llama-index-instrumentation, transformers, ibm-watsonx-ai, cohere, bedrock-agentcore, dashscope, fastembed, flagembedding, llama-cloud, nltk, optimum-intel, sentencepiece, ai21, aleph-alpha-client, chonkie, gigachat, guidance, igptai, konko, litellm, mixedbread, ModelScope, octoai, Ollama, openvino, openvino-genai, premai, scikit-learn, tritonclient, vLLM, voyageai, zep-python, zhipuai, agent-search, aimon, argilla-llama-index, assemblyai, bm25s, browserbase, cleanlab-tlm, cognee, colpali-engine, datasets, exa-py, flashrank, hnswlib, honeyhive, instructorembedding, isaacus, langfuse, llmlingua, llmsherpa, marvin, mlx, mlx-lm, nomic, notdiamond, optimum, optimum-habana, paddleocr, peft, presidio-analyzer, presidio-anonymizer, promptlayer, psychicapi, pydi-client, rank-llm, span-marker, superlinked, tokenizers, uptrain, vectorize-client, videodb, bleach, camelot-py, ghostscript, llama-index-readers-file, llama-index-readers-youtube-transcript, maincontentextractor, marker-pdf, mistune, nbformat, newspaper3k, nougat-ocr, pandocfilters, webencodings, xlrd, pillow, bs4, html2text, pymupdf, filetype, bagel, docx2txt, markdownify, olefile, pytesseract, dgml-utils, docling, layoutir, llama-parse, lxml-html-clean, markitdown, nbconvert, pdf2image, pypdf2, striprtf, svglib, tika, tinytag, youtube-transcript-api, fastjsonschema, fqdn, marshmallow, rfc3339-validator, rfc3986-validator, docling-core, prometheus-client, psutil, python-json-logger, Alibaba Cloud, oci

## Side by side

| | local-deep-research | llama_index |
|---|---|---|
| Size | 1,820,812 lines written, 712 code files | 473,258 lines written, 2,055 code files |
| Who writes it | 1.2% of its commits signed by AI. With Claude Code, GitHub Copilot, Kilo Code, and Cursor | 0.2% of its commits signed by AI. With Claude Code, Cursor, and GitHub Copilot |
| Activity | Last push November 14, 2026, 7,056 commits, 9,582 stars | Last push November 11, 2026, 7,967 commits, 52,885 stars |
| Tests | 3,252 test files. 80.1% 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, local-deep-research or llama_index?

local-deep-research, with 1,820,812 lines written; llama_index has 473,258.

The proof: [LearningCircuit/local-deep-research's code at commit 3d6e615](https://github.com/LearningCircuit/local-deep-research/tree/3d6e6151cffdb8f8926567b700d538fcd69afb8c)

### Which has more GitHub stars, local-deep-research or llama_index?

llama_index, with 52,885 stars; local-deep-research has 9,582.

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

### Which has more tests, local-deep-research or llama_index?

local-deep-research, with 3,252 test files; llama_index has 1,607.

The proof: [LearningCircuit/local-deep-research's code at commit 3d6e615](https://github.com/LearningCircuit/local-deep-research/tree/3d6e6151cffdb8f8926567b700d538fcd69afb8c)

### Which was updated more recently, local-deep-research or llama_index?

local-deep-research: its last push was on November 14, 2026, and llama_index's on November 11, 2026.

The proof: [LearningCircuit/local-deep-research's commits on GitHub](https://github.com/LearningCircuit/local-deep-research/commits)

### Which has more commits signed by AI, local-deep-research or llama_index?

local-deep-research: an AI signed 1.2% of its commits, with Claude Code, GitHub Copilot, Kilo Code, and Cursor; in llama_index, 0.2%.

The proof: [the commits each tool signed in LearningCircuit/local-deep-research](https://seerepo.com/r/LearningCircuit/local-deep-research/ai)

## Sources

- LearningCircuit/local-deep-research: Read on November 14, 2026, at commit 3d6e615 (https://github.com/LearningCircuit/local-deep-research/tree/3d6e6151cffdb8f8926567b700d538fcd69afb8c)
- run-llama/llama_index: Read on November 13, 2026, at commit baeabbf (https://github.com/run-llama/llama_index/tree/baeabbfe26241a6916e13e2a8c8156a02e0602cd)

## 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.