head to head · open source

graphify vs neo

graphify has 119,123 GitHub stars, 11,519 forks, 1,350 open issues and last shipped 3 days ago. neo has 3,277 stars, 232 forks, 140 open issues and last shipped yesterday. graphify leads on adoption by 3,535% (119,123 vs 3,277 stars). graphify is written in Python under Apache-2.0; neo is written in JavaScript under MIT. graphify has attracted 10% as many forks as stars, neo 7%. neo was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (knowledge-graph), so they are genuine substitutes rather than adjacent tools.

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 neo ★ 3.3K category AI & Machine Learning

← all 13541 open source comparisons

Side by side

graphify neo
GitHub stars ★ 119K ★ 3.3K
License Apache-2.0 MIT
Written in Python JavaScript
Last push 2026-09-16 2026-09-18
Forks ⑂ 12K ⑂ 232
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 neo if

  • You want the neo feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches JavaScript
  • You evaluated both and neo fits your workflow better

full neo 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 neo

Neo.mjs is an MIT licensed, open source JavaScript application engine whose multi threaded runtime is designed to be inhabited by a cross model AI engineering swarm, built for teams that want AI agents working inside a live application rather than chatting beside it.

read the full neo overview →

More in AI & Machine Learning

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

Related comparisons

openclaw vs dify openclaw vs multica openclaw vs langgraph n8n vs dify dify vs langflow dify vs open-webui dify vs langchain dify vs ponytail openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm hermes-agent vs opencode hermes-agent vs n8n openclaw vs ollama ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai open-webui vs gpt4all llama-cpp vs vllm

More AI Development Platforms projects

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 neo more popular?

graphify has 119,123 GitHub stars and neo has 3,277. graphify has the larger community by that measure.

Are graphify and neo free?

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

What is the difference between graphify and neo?

graphify is written in Python and neo in JavaScript. 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 neo?

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