DeepYard

LangChain vs LiteLLM

Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.

Direct Answer

LangChain suits teams needing open-source access, typescript focus, and 144,745 GitHub stars in current listing data. LiteLLM suits teams needing open-source access, api gateway focus, and 56,974 GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.

What this comparison weighs

  • Pricing and free-tier availability
  • License model and deployment fit
  • GitHub adoption and contributor depth
  • Catalog tags, integrations, and supported workflows
L

LangChain

Build context-aware reasoning applications with LLMs

OSSFree
144.7K850.0K/wtoday467
Visit GitHub
L

LiteLLM

Universal LLM API gateway for 200+ providers — 38K+ stars

OSSFree
57.0Ktoday376
Visit GitHub
MetricLangChainLiteLLM
GitHub Stars144.7K57.0K
Contributors467376
Last CommitAug 22, 2026Aug 22, 2026
Open Issues4164989
Licenseopen-sourceopen-source
Pricingopen-sourceopen-source
Free TierYesYes
Categoryframeworksframeworks
TrendingNoNo

Choose LangChain if you need

  • • LangChain stands out for Typescript workflows that are not listed for LiteLLM.
  • • LangChain is the stronger pick when Chain matters because that capability is listed only on its profile.
  • • LangChain shows broader GitHub adoption with 144,745 stars versus 56,974 for LiteLLM.

Choose LiteLLM if you need

  • • LiteLLM is the stronger pick when Api Gateway matters because that capability is listed only on its profile.
  • • LiteLLM is the cleaner fit if you specifically need Api Gateway workflows from the catalog tags.

Meaningful differences

  • • Workflow emphasis: LangChain highlights Typescript, while LiteLLM highlights Python.
  • • GitHub adoption: LangChain shows 144,745 stars versus 56,974 for LiteLLM.
  • • Contributor count: LangChain lists 467 contributors and LiteLLM lists 376.

Shared capabilities

  • • Python

Shared Tags

python

Only in LangChain

llmagentschainsragtypescriptorchestration

Only in LiteLLM

api-gatewaymulti-modelproxyload-balancingopen-source

Limitations and evidence

  • • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
  • • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
  • • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.

Source links

Manifest content date: 2026-08-21

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.

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About 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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