SmolagentsvsDocling

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

Smolagents

AI Agent Frameworks

Hugging Face's lightweight library for building agents

Full review →Website ↗

Docling

Data & ETL

IBM's document conversion tool for AI pipelines

Full review →Website ↗
FeatureSmolagentsDocling
CategoryAI Agent FrameworksData & ETL
PricingFree (open-source)Free (open-source)
GitHub Stars
15k
15k
PlatformsLinux, macOS, WindowsLinux, macOS, Windows
Key Features
  • ✓ Code agents
  • ✓ Tool calling
  • ✓ Multi-model
  • ✓ Lightweight
  • ✓ Hub integration
  • ✓ PDF conversion
  • ✓ Table extraction
  • ✓ OCR
  • ✓ Markdown output
  • ✓ LlamaIndex integration
Pros
  • + Lightweight and simple
  • + Code-agent approach
  • + Hugging Face integration
  • + Well-documented
  • + Active development
  • + Excellent PDF parsing
  • + Table extraction
  • + OCR capability
  • + IBM Research quality
  • + LlamaIndex integration
Cons
  • − Fewer features than LangChain
  • − Newer library
  • − Limited tool ecosystem
  • − Python-centric
  • − Heavy dependencies
  • − Can be slow on large docs
  • − Python only
  • − Complex output format
Tags
agentshuggingfacelightweightpython
documentspdfconversionibm

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