LangChain vs LiteLLM
Side-by-side comparison with live GitHub signals. Last updated June 30, 2026.
| Metric | LangChain | LiteLLM |
|---|---|---|
| GitHub Stars | 140.6K | 52.1K |
| Contributors | 469 | 383 |
| Last Commit | Jun 29, 2026 | Jun 30, 2026 |
| Open Issues | 413 | 3493 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Shared Tags
Only in LangChain
Only in LiteLLM
About LangChain
LangChain is the most widely adopted framework for building LLM-powered applications. It provides modular abstractions for chains, agents, memory, retrievers, and tools, enabling developers to compose complex pipelines from reusable components. Available in both Python and JavaScript/TypeScript, LangChain integrates with every major LLM provider, vector store, and data source. Its ecosystem includes LangSmith for observability and LangGraph for stateful, graph-based agent workflows.
View full listingAbout LiteLLM
LiteLLM provides a unified OpenAI-compatible API for 200+ LLM providers (OpenAI, Anthropic, Google, Azure, AWS Bedrock, Ollama, and more). Use one interface to call any model, with built-in load balancing, fallbacks, spend tracking, and rate limiting. Essential infrastructure for multi-model agent systems.
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