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superset vs llama_index

superset and llama_index share 46 technologies: oracledb, psycopg2-binary, pyarrow, Redis, MySQL, clickhouse-connect, pymysql, Google, AIOHTTP, starlette, anyio, pyzmq, matplotlib, prompt-toolkit, Rich, SQLAlchemy, google-auth-oauthlib, pyjwt, cryptography, tiktoken, MCP, defusedxml, xlrd, jinja2, markupsafe, pillow, annotated-types, jsonschema-specifications, referencing, rfc3339-validator, jsonschema, Pydantic, pydantic-core, docker, OpenTelemetry, boto3, psutil, soupsieve, tinycss2, ipywidgets, matplotlib-inline, argon2-cffi, beautifulsoup4, bleach, prometheus-client, and python-json-logger. Both are written in Python.

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What they share and what sets them apart

apache

superset

Apache Superset is a Data Visualization and Data Exploration Platform

Python75.4kRead on November 4, 2026, at commit fcc13d4What is superset built with?

Only in superset

In common

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

  • aiomysql
  • aiosqlite
  • async-lru
  • asyncpg
  • azure-search-documents
  • azure-storage-blob
  • ibm-db
  • pgvecto-rs
  • pgvector
  • psycopg
  • weaviate-client
  • lancedb
  • DuckDB
  • pymilvus
  • SQLite
  • tablestore
  • chromadb
  • falkordb
  • pinecone
  • gcsfs
  • pyiceberg
  • pymochow
  • pyobvector
  • s3fs
  • tcvectordb
  • typesense
  • ElevenLabs
  • graphql-core
  • tornado
  • Ray
  • azure-identity
  • google-auth-httplib2
  • msal
  • einops
  • firecrawl-py
  • guardrails-ai
  • llama-index-core
  • mem0ai
  • OpenAI
  • opencv-python
  • PaddlePaddle
  • tavily-python
  • torch
  • transformers
  • ibm-watsonx-ai
  • cohere
  • LangChain
  • 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
  • mistune
  • nbformat
  • newspaper3k
  • bs4
  • html2text
  • unstructured
  • lxml
  • pymupdf
  • filetype
  • docx2txt
  • markdownify
  • docling
  • lxml-html-clean
  • markitdown
  • nbconvert
  • pdf2image
  • pdfplumber
  • pypdf
  • pypdf2
  • tinytag
  • youtube-transcript-api
  • marshmallow
  • docling-core
  • opentelemetry-api
  • opentelemetry-semantic-conventions
  • Alibaba Cloud

Side by side

SizeLines written by people and agents, without generated ones; code files, without tests.
superset1,918,985 lines written3,663 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.
superset9.2% of its commits signed by AIWith Claude Code, GitHub Copilot, Cursor, Devin, and Codex
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.
supersetLast push November 4, 202624,012 commits75,409 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.
superset3,041 test files61.8% 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, superset or llama_index?
superset, with 1,918,985 lines written; llama_index has 473,236.

The proof: apache/superset's code at commit fcc13d4

Which has more GitHub stars, superset or llama_index?
superset, with 75,409 stars; llama_index has 52,820.

The proof: apache/superset on GitHub

Which has more tests, superset or llama_index?
superset, with 3,041 test files; llama_index has 1,607.

The proof: apache/superset's code at commit fcc13d4

Which was updated more recently, superset or llama_index?
llama_index: its last push was on November 5, 2026, and superset's on November 4, 2026.

The proof: run-llama/llama_index's commits on GitHub

Which has more commits signed by AI, superset or llama_index?
superset: an AI signed 9.2% of its commits, with Claude Code, GitHub Copilot, Cursor, Devin, and Codex; in llama_index, 0.2%.

The proof: the commits each tool signed in apache/superset

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