head to head · open source

langchain vs LiteLLM

langchain has 146,538 GitHub stars, 24,504 forks, 492 open issues and last shipped yesterday. LiteLLM has 59,003 stars, 11,534 forks, 5,022 open issues and last shipped yesterday. langchain leads on adoption by 148% (146,538 vs 59,003 stars). langchain is written in Python under MIT; LiteLLM is written in Python under a custom or non-standard licence. langchain has attracted 17% as many forks as stars, LiteLLM 20%. langchain was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (anthropic, langchain), 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.

langchain ★ 147K LiteLLM ★ 59K category AI & Machine Learning

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Side by side

langchain LiteLLM
GitHub stars ★ 147K ★ 59K
License MIT Custom / other
Written in Python Python
Last push 2026-09-17 2026-09-17
Forks ⑂ 25K ⑂ 12K
Self-hosting Yes Yes
Data ownership Your server Your server

pick langchain if

  • You weight community size — 147K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full langchain 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 langchain

LangChain is an open source framework for building agents and LLM powered applications, written in Python and released under the MIT license. It lives in the AI and machine learning ecosystem, specifically among AI development platforms, and it works by chaining together interoperable components and third party integrations so that AI application development becomes simpler. The project describes itself as the agent engineering platform, and its abstractions are designed to keep applications working as the underlying technology evolves.

read the full langchain 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 ★ 246K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K ponytail ★ 141K

Related comparisons

dify vs langchain langchain vs ponytail langchain vs graphify dify vs ponytail dify vs graphify ponytail vs graphify dify vs claude-mem dify vs ragflow openclaw vs hermes-agent openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm openclaw vs cherry-studio openclaw vs nanobot openclaw vs jan openclaw vs librechat ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai llama-cpp vs vllm ollama vs pageindex ollama vs langfuse

More AI Development Platforms projects

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

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

Frequently asked questions

Is langchain or LiteLLM more popular?

langchain has 146,538 GitHub stars and LiteLLM has 59,003. langchain has the larger community by that measure.

Are langchain and LiteLLM free?

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

What is the difference between langchain and LiteLLM?

langchain 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, langchain or LiteLLM?

Choose langchain if you want the larger community (146,538 stars) or its MIT licence terms. Choose LiteLLM if its feature set, stack or Custom / other licence fits better. Both are self-hostable.