head to head · open source

graphify vs outlines

graphify has 118,991 GitHub stars, 11,505 forks, 1,350 open issues and last shipped 2 days ago. outlines has 15,825 stars, 880 forks, 166 open issues and last shipped 9 days ago. graphify leads on adoption by 652% (118,991 vs 15,825 stars). graphify is written in Python under Apache-2.0; outlines is written in Python under Apache-2.0. graphify has attracted 10% as many forks as stars, outlines 6%. 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 outlines ★ 16K category AI & Machine Learning

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Side by side

graphify outlines
GitHub stars ★ 119K ★ 16K
License Apache-2.0 Apache-2.0
Written in Python Python
Last push 2026-09-16 2026-09-09
Forks ⑂ 12K ⑂ 880
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 outlines if

  • You want the outlines 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 outlines fits your workflow better

full outlines 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 outlines

Outlines is a Python library for structured generation with large language models, released under the Apache 2.0 license and maintained by the team at .txt. It lives in the AI and machine learning ecosystem, specifically among AI development platforms and structured generation tooling, and it is distributed through PyPI. The project describes itself as a way to guarantee structured outputs during generation rather than repairing them afterward, and its topic list places it alongside work on context free grammars, regular expressions, JSON, prompt engineering, and symbolic AI.

read the full outlines overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 246K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

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Compare either of these against the rest of the AI Development Platforms field.

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 outlines more popular?

graphify has 118,991 GitHub stars and outlines has 15,825. graphify has the larger community by that measure.

Are graphify and outlines free?

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

What is the difference between graphify and outlines?

graphify is written in Python and outlines 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 outlines?

Choose graphify if you want the larger community (118,991 stars) or its Apache-2.0 licence terms. Choose outlines if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.