pandas vs llama_index
pandas and llama_index share 15 technologies: gcsfs, psycopg2-binary, pyiceberg, pymysql, pyarrow, s3fs, ipywidgets, matplotlib, SQLAlchemy, nbformat, lxml, jinja2, beautifulsoup4, nbconvert, and xlrd. Both are written in Python.
LinkedInWhat they share and what sets them apart
pandas-dev
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Python50.4kRead on November 5, 2026, at commit 249a3e4What is pandas built with?Only in pandas
In common
- gcsfs
psycopg2-binary
pyiceberg
- pymysql
pyarrow
- s3fs
- ipywidgets
matplotlib
- SQLAlchemy
- nbformat
lxml
- jinja2
- beautifulsoup4
- nbconvert
- xlrd
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
- aiosqlite
- async-lru
- asyncpg
- azure-search-documents
- azure-storage-blob
- ibm-db
- pgvecto-rs
pgvector
psycopg
- pyzmq
- Redis
weaviate-client
lancedb
oracledb
- DuckDB
- pymilvus
- SQLite
- tablestore
chromadb
falkordb
- MySQL
pinecone
clickhouse-connect
pymochow
- pyobvector
- tcvectordb
typesense
- ElevenLabs
- anyio
- graphql-core
tornado
- AIOHTTP
- Ray
- soupsieve
- tinycss2
- matplotlib-inline
prompt-toolkit
- Rich
- argon2-cffi
- azure-identity
google-auth-httplib2
- cryptography
- pyjwt
- msal
- einops
firecrawl-py
- guardrails-ai
llama-index-core
- mem0ai
OpenAIopencv-python
- PaddlePaddle
- tavily-python
- torch
- 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
- bleach
markupsafe
- mistune
- newspaper3k
pillow
- bs4
- html2text
unstructured
- defusedxml
pymupdf
- filetype
- docx2txt
- markdownify
docling
- lxml-html-clean
- markitdown
- pdf2image
- pdfplumber
pypdf
pypdf2
tinytag
- youtube-transcript-api
- jsonschema-specifications
marshmallow
- referencing
- rfc3339-validator
- Pydantic
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
pandasllama_index
SizeLines written by people and agents, without generated ones; code files, without tests.
pandas758,101 lines written297 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.
pandas4.2% of its commits signed by AIWith Claude Code, GitHub Copilot, and Devin
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.
pandasLast push November 5, 202636,566 commits50,368 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.
pandas1,263 test files56.6% 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, pandas or llama_index?
pandas, with 758,101 lines written; llama_index has 473,236.
The proof: pandas-dev/pandas's code at commit 249a3e4
Which has more GitHub stars, pandas or llama_index?
llama_index, with 52,820 stars; pandas has 50,368.
The proof: run-llama/llama_index on GitHub
Which has more tests, pandas or llama_index?
llama_index, with 1,607 test files; pandas has 1,263.
Which was updated more recently, pandas or llama_index?
Both got their last push on November 5, 2026.
The proof: pandas-dev/pandas's commits on GitHub
Which has more commits signed by AI, pandas or llama_index?
pandas: an AI signed 4.2% of its commits, with Claude Code, GitHub Copilot, and Devin; in llama_index, 0.2%.
The proof: the commits each tool signed in pandas-dev/pandas
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