llama_index vs nature-skills
llama_index and nature-skills share 10 technologies: matplotlib, OpenAI, MCP, pillow, defusedxml, lxml, pymupdf, pdfplumber, pypdf, and jsonschema. Both are written in Python.
What they share and what sets them apart
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
pyarrow
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
- Rich
- SQLAlchemy
- argon2-cffi
- azure-identity
google-auth-httplib2
google-auth-oauthlib
- cryptography
- pyjwt
- msal
- einops
firecrawl-py
- guardrails-ai
llama-index-core
- mem0ai
opencv-python
- PaddlePaddle
- tavily-python
- torch
- transformers
- ibm-watsonx-ai
cohere
- LangChain
- tiktoken
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
- bs4
- html2text
unstructured
- jinja2
- filetype
- docx2txt
- markdownify
docling
- lxml-html-clean
- markitdown
- nbconvert
- pdf2image
pypdf2
tinytag
- youtube-transcript-api
- jsonschema-specifications
marshmallow
- referencing
- rfc3339-validator
- Pydantic
docling-core
- annotated-types
- pydantic-core
- opentelemetry-api
opentelemetry-semantic-conventions
prometheus-client
psutil
- python-json-logger
- boto3
- docker
- Alibaba Cloud
- OpenTelemetry
In common
Yuan1z0825
nature-skills
符合nature论文学术表达和科研绘图的Skill
Python52.4kRead on November 5, 2026, at commit d774addWhat is nature-skills built with?Only in nature-skills
- mammoth
- python-pptx
- python-docx
- pypdfium2
Side by side
llama_indexnature-skills
SizeLines written by people and agents, without generated ones; code files, without tests.
llama_index473,236 lines written2,055 code files
nature-skills57,755 lines written73 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.
llama_index0.2% of its commits signed by AIWith Claude Code, Cursor, and GitHub Copilot
nature-skills5.3% of its commits signed by AIWith Claude Code and Codex
ActivityFrom GitHub and its history, on the day SeeRepo read it.
llama_indexLast push November 5, 20267,963 commits52,820 stars
nature-skillsLast push November 4, 2026800 commits52,387 stars
TestsThe files that test the code, and the share of code files a test imports.
llama_index1,607 test files46.5% of its code files have a test that imports them
nature-skills108 test files24.7% of its code files have a test that imports them
Frequently asked questions
Which is bigger, llama_index or nature-skills?
llama_index, with 473,236 lines written; nature-skills has 57,755.
Which has more GitHub stars, llama_index or nature-skills?
llama_index, with 52,820 stars; nature-skills has 52,387.
The proof: run-llama/llama_index on GitHub
Which has more tests, llama_index or nature-skills?
llama_index, with 1,607 test files; nature-skills has 108.
Which was updated more recently, llama_index or nature-skills?
llama_index: its last push was on November 5, 2026, and nature-skills's on November 4, 2026.
The proof: run-llama/llama_index's commits on GitHub
Which has more commits signed by AI, llama_index or nature-skills?
nature-skills: an AI signed 5.3% of its commits, with Claude Code and Codex; in llama_index, 0.2%.
The proof: the commits each tool signed in Yuan1z0825/nature-skills
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