Source: https://seerepo.com/compare/pola-rs/polars/vs/run-llama/llama_index
Markdown source: https://seerepo.com/compare/pola-rs/polars/vs/run-llama/llama_index.md
Description: polars and llama_index share 13 technologies: aiosqlite, s3fs, pyarrow, pyiceberg, DuckDB, lancedb, SQLite, matplotlib, SQLAlchemy, azure-identity, torch, Pydantic, and boto3. polars is written in Rust and llama_index in Python.

# polars vs llama_index

polars and llama_index share 13 technologies: aiosqlite, s3fs, pyarrow, pyiceberg, DuckDB, lancedb, SQLite, matplotlib, SQLAlchemy, azure-identity, torch, Pydantic, and boto3. polars is written in Rust and llama_index in Python.

- [pola-rs/polars](https://seerepo.com/r/pola-rs/polars): Extremely fast Query Engine for DataFrames, written in Rust
- [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: aiosqlite, s3fs, pyarrow, pyiceberg, DuckDB, lancedb, SQLite, matplotlib, SQLAlchemy, azure-identity, torch, Pydantic, boto3
- Only in polars: polars-io, pylance, object_store, deltalake, adbc-driver-manager, adbc-driver-sqlite, Flask, flask-cors, Tokio, pydata-sphinx-theme, sphinx-design, altair, comfy-table, jax, xlsxwriter, openpyxl, schemars
- Only in llama_index: starlette, aiomysql, async-lru, asyncpg, azure-search-documents, azure-storage-blob, ibm-db, pgvecto-rs, pgvector, psycopg, psycopg2-binary, pyzmq, Redis, weaviate-client, oracledb, pymilvus, tablestore, chromadb, falkordb, MySQL, pinecone, clickhouse-connect, gcsfs, pymochow, pymysql, pyobvector, tcvectordb, typesense, ElevenLabs, anyio, graphql-core, tornado, AIOHTTP, Ray, soupsieve, tinycss2, ipywidgets, matplotlib-inline, prompt-toolkit, Rich, argon2-cffi, 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, transformers, ibm-watsonx-ai, cohere, LangChain, tiktoken, 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, beautifulsoup4, bleach, markupsafe, mistune, nbformat, newspaper3k, xlrd, pillow, bs4, html2text, 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, jsonschema, pydantic-core, opentelemetry-api, opentelemetry-semantic-conventions, prometheus-client, psutil, python-json-logger, docker, Alibaba Cloud, OpenTelemetry

## Side by side

| | polars | llama_index |
|---|---|---|
| Size | 953,615 lines written, 2,273 code files | 473,236 lines written, 2,055 code files |
| Who writes it | 0.9% of its commits signed by AI. With Claude Code, Cursor, GitHub Copilot, and Gemini CLI | 0.2% of its commits signed by AI. With Claude Code, Cursor, and GitHub Copilot |
| Activity | Last push November 6, 2026, 16,254 commits, 40,274 stars | Last push November 5, 2026, 7,963 commits, 52,820 stars |
| Tests | 671 test files. 11% 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, polars or llama_index?

polars, with 953,615 lines written; llama_index has 473,236.

The proof: [pola-rs/polars's code at commit a2a4dea](https://github.com/pola-rs/polars/tree/a2a4dea74ca08840c06cc7007f7d7e8d013af49f)

### Which has more GitHub stars, polars or llama_index?

llama_index, with 52,820 stars; polars has 40,274.

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

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

llama_index, with 1,607 test files; polars has 671.

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, polars or llama_index?

polars: its last push was on November 6, 2026, and llama_index's on November 5, 2026.

The proof: [pola-rs/polars's commits on GitHub](https://github.com/pola-rs/polars/commits)

### Which has more commits signed by AI, polars or llama_index?

polars: an AI signed 0.9% of its commits, with Claude Code, Cursor, GitHub Copilot, and Gemini CLI; in llama_index, 0.2%.

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

## Sources

- pola-rs/polars: Read on November 6, 2026, at commit a2a4dea (https://github.com/pola-rs/polars/tree/a2a4dea74ca08840c06cc7007f7d7e8d013af49f)
- 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.