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.
What they share and what sets them apart
pola-rs
polars
Extremely fast Query Engine for DataFrames, written in Rust
Rust40.3kRead on November 6, 2026, at commit a2a4deaWhat is polars built with?Only in polars
In common
- aiosqlite
- s3fs
pyarrow
pyiceberg
- DuckDB
lancedb
- SQLite
matplotlib
- SQLAlchemy
- azure-identity
- torch
- Pydantic
- boto3
run-llama
llama_index
LlamaIndex is the document processing platform for AI
Python52.8kRead on November 5, 2026, at commit 444fdf0What is llama_index built with?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-auth-httplib2
google-auth-oauthlib
- cryptography
- pyjwt
- msal
- einops
firecrawl-py
- guardrails-ai
llama-index-core
- mem0ai
OpenAIopencv-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
polarsllama_index
SizeLines written by people and agents, without generated ones; code files, without tests.
polars953,615 lines written2,273 code files
llama_index473,236 lines written2,055 code files
Who writes itA commit counts as AI's when it carries its signature: a Co-Authored-By line, its author name or the merge of its branch.
polars0.9% of its commits signed by AIWith Claude Code, Cursor, GitHub Copilot, and Gemini CLI
llama_index0.2% of its commits signed by AIWith Claude Code, Cursor, and GitHub Copilot
ActivityFrom GitHub and its history, on the day SeeRepo read it.
polarsLast push November 6, 202616,254 commits40,274 stars
llama_indexLast push November 5, 20267,963 commits52,820 stars
TestsThe files that test the code, and the share of code files a test imports.
polars671 test files11% of its code files have a test that imports them
llama_index1,607 test files46.5% of its code files have a test that imports them
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
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
Which has more tests, polars or llama_index?
llama_index, with 1,607 test files; polars has 671.
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
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%.
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