head to head · open source

graphify vs PixelRAG

graphify has 119,123 GitHub stars, 11,519 forks, 1,350 open issues and last shipped 2 days ago. PixelRAG has 9,984 stars, 856 forks, 19 open issues and last shipped 4 days ago. graphify leads on adoption by 1,093% (119,123 vs 9,984 stars). graphify is written in Python under Apache-2.0; PixelRAG is written in Python under Apache-2.0. graphify has attracted 10% as many forks as stars, PixelRAG 9%. graphify was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

graphify ★ 119K PixelRAG ★ 10.0K category AI & Machine Learning

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Side by side

graphify PixelRAG
GitHub stars ★ 119K ★ 10.0K
License Apache-2.0 Apache-2.0
Written in Python Python
Last push 2026-09-16 2026-09-14
Forks ⑂ 12K ⑂ 856
Self-hosting Yes Yes
Data ownership Your server Your server

pick graphify if

  • You weight community size — 119K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full graphify profile →

pick PixelRAG if

  • You want the PixelRAG feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and PixelRAG fits your workflow better

full PixelRAG profile →

About graphify

graphify is an Apache 2.0 Python CLI and /graphify skill that turns a whole project — code, docs, SQL schemas, configs, PDFs, images, and video — into a queryable knowledge graph, built for developers and AI agent users in Claude Code, Cursor, Codex, and Gemini CLI who want to query a codebase instead of grepping through files.

read the full graphify overview →

About PixelRAG

PixelRAG is the official open source codebase for the paper "PIXELRAG: Web Screenshots Beat Text for Retrieval Augmented Generation," an Apache 2.0 Python project from Berkeley SkyLab, BAIR and Berkeley NLP that renders web pages, PDFs and images to screenshot tiles and retrieves over those images instead of parsed text, built for RAG engineers, agent developers and researchers who need tables, charts, diagrams and layout to survive retrieval.

read the full PixelRAG overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

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graphify vs Dify graphify vs langchain graphify vs ponytail graphify vs generative-ai-for-beginners graphify vs claude-mem graphify vs ragflow graphify vs PaddleOCR graphify vs Agent-Reach graphify vs headroom graphify vs Mem0 graphify vs daily_stock_analysis graphify vs LiteLLM

Frequently asked questions

Is graphify or PixelRAG more popular?

graphify has 119,123 GitHub stars and PixelRAG has 9,984. graphify has the larger community by that measure.

Are graphify and PixelRAG free?

Both are open source. graphify is licensed under Apache-2.0 and PixelRAG under Apache-2.0. Neither carries a licence fee.

What is the difference between graphify and PixelRAG?

graphify is written in Python and PixelRAG in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, graphify or PixelRAG?

Choose graphify if you want the larger community (119,123 stars) or its Apache-2.0 licence terms. Choose PixelRAG if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.