head to head · open source

graphify vs LiteLLM

graphify has 119,123 GitHub stars, 11,519 forks, 1,350 open issues and last shipped 3 days ago. LiteLLM has 59,036 stars, 11,545 forks, 5,022 open issues and last shipped yesterday. graphify leads on adoption by 102% (119,123 vs 59,036 stars). graphify is written in Python under Apache-2.0; LiteLLM is written in Python under a custom or non-standard licence. graphify has attracted 10% as many forks as stars, LiteLLM 20%. LiteLLM 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 LiteLLM ★ 59K category AI & Machine Learning

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Side by side

graphify LiteLLM
GitHub stars ★ 119K ★ 59K
License Apache-2.0 Custom / other
Written in Python Python
Last push 2026-09-16 2026-09-18
Forks ⑂ 12K ⑂ 12K
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 LiteLLM if

  • You want the LiteLLM feature set and don't need the biggest community
  • You prefer the Custom / other license terms
  • Your stack matches Python
  • You evaluated both and LiteLLM fits your workflow better

full LiteLLM 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 LiteLLM

LiteLLM is an open source AI gateway that provides a unified interface to call over 100 large language model (LLM) providers—including OpenAI, Anthropic, Azure OpenAI, Amazon Bedrock, Google VertexAI, and vLLM—using the OpenAI compatible API format. It runs as both a Python SDK for direct integration and as a standalone proxy server for centralized, team or organization wide use.

read the full LiteLLM overview →

More in AI & Machine Learning

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

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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

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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 crewAI

Frequently asked questions

Is graphify or LiteLLM more popular?

graphify has 119,123 GitHub stars and LiteLLM has 59,036. graphify has the larger community by that measure.

Are graphify and LiteLLM free?

Both are open source. graphify is licensed under Apache-2.0, and LiteLLM has no licence declared in this registry. Both are free to self-host.

What is the difference between graphify and LiteLLM?

graphify is written in Python and LiteLLM 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 LiteLLM?

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