PortkeyvsStreamlit

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

Portkey

LLM APIs & Inference

AI gateway for reliable and fast LLM applications

Full review →Website ↗

Streamlit

Developer Tools

Turn Python scripts into interactive web apps

Full review →Website ↗
FeaturePortkeyStreamlit
CategoryLLM APIs & InferenceDeveloper Tools
PricingFree + Pro plansFree (open-source) + Cloud
GitHub Stars
6k
✓ More stars
35k
PlatformsWeb, DockerLinux, macOS, Windows, Web
Key Features
  • ✓ AI gateway
  • ✓ Fallbacks
  • ✓ Load balancing
  • ✓ Caching
  • ✓ Observability
  • ✓ Data apps
  • ✓ Widgets
  • ✓ Charts
  • ✓ Deployment
  • ✓ Community cloud
Pros
  • + Automatic fallbacks
  • + Load balancing
  • + Request caching
  • + Observability built-in
  • + Open-source gateway
  • + Zero frontend knowledge needed
  • + Fastest prototyping tool
  • + Great for data apps
  • + Active community
  • + Free cloud hosting
Cons
  • − Added infrastructure layer
  • − Learning curve
  • − Some features need Pro
  • − Latency overhead
  • − Limited UI customization
  • − Not ideal for production apps
  • − Performance issues with large data
  • − Reruns entire script on interaction
Tags
gatewayreliabilityobservabilityapi
pythondatadashboardopen-source

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