plotly.py vs llama_index
plotly.py and llama_index share 5 technologies: pyarrow, scikit-learn, jinja2, nbconvert, and psutil. Both are written in Python.
LinkedInWhat they share and what sets them apart
plotly
plotly.py
The interactive graphing library for Python :sparkles:
Python18.9kRead on November 6, 2026, at commit bcc6863What is plotly.py built with?Only in plotly.py
- Plotly
umap-learn
scikit-image
- jupytext
- recommonmark
@lumino/widgets
In common
pyarrow
- scikit-learn
- jinja2
- nbconvert
psutil
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
psycopg2-binary
- pyzmq
- Redis
weaviate-client
lancedb
oracledb
- DuckDB
- pymilvus
- SQLite
- tablestore
chromadb
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
- Rich
- SQLAlchemy
- 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
- 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
lxml
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
- python-json-logger
- boto3
- docker
- Alibaba Cloud
- OpenTelemetry
Side by side
plotly.pyllama_index
SizeLines written by people and agents, without generated ones; code files, without tests.
plotly.py534,516 lines written1,522 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.
plotly.py0.5% of its commits signed by AIWith Claude Code, Codex, and GitHub Copilot
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.
plotly.pyLast push November 3, 20267,140 commits18,878 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.
plotly.py155 test files1.2% 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, plotly.py or llama_index?
plotly.py, with 534,516 lines written; llama_index has 473,236.
The proof: plotly/plotly.py's code at commit bcc6863
Which has more GitHub stars, plotly.py or llama_index?
llama_index, with 52,820 stars; plotly.py has 18,878.
The proof: run-llama/llama_index on GitHub
Which has more tests, plotly.py or llama_index?
llama_index, with 1,607 test files; plotly.py has 155.
Which was updated more recently, plotly.py or llama_index?
llama_index: its last push was on November 5, 2026, and plotly.py's on November 3, 2026.
The proof: run-llama/llama_index's commits on GitHub
Which has more commits signed by AI, plotly.py or llama_index?
plotly.py: an AI signed 0.5% of its commits, with Claude Code, Codex, and GitHub Copilot; in llama_index, 0.2%.
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