Which is more popular, LangStream or Open WebUI?

Open WebUI has more GitHub stars (153,853 vs 427).

Which is more actively developed, LangStream or Open WebUI?

Open WebUI had more commits in the last 90 days (1,515 vs 0).

Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.

Side-by-side comparison of two AI agent tools

LangStream has had no commit in 28 months; Open WebUI is actively maintained (1,515 commits in the last 90 days).
Open WebUI is growing faster: +3,930 GitHub stars in the last 30 days vs +1 for LangStream.
Pick LangStream for: langStream. Pick Open WebUI for: user-friendly AI Interface (Supports Ollama, OpenAI API, ...).

From GitHub data refreshed daily.

LangStreamopen-source

LangStream. Event-Driven Developer Platform for Building and Running LLM AI Apps. Powered by Kubernetes and Kafka.

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

+Production-ready platform with Kubernetes and Kafka backing for enterprise-scale LLM applications
+Event-driven architecture optimized for handling streaming AI workloads and real-time interactions
+Comprehensive tooling including CLI, VS Code extension, and sample applications for rapid development

+Multi-provider AI integration supporting both local Ollama models and remote OpenAI-compatible APIs in a single interface
+Self-hosted deployment with complete offline capability ensuring data privacy and security control
+Enterprise-grade user management with granular permissions, user groups, and admin controls for organizational deployment

-Requires Java 11+ runtime dependency which adds complexity to deployment environments
-Relatively new project with limited community adoption (421 GitHub stars)
-Opinionated architecture that may not suit all AI application patterns beyond event-driven use cases

-Requires technical expertise for initial setup and maintenance of Docker/Kubernetes infrastructure
-Self-hosting demands dedicated server resources and ongoing system administration
-Limited to local deployment model, lacking the convenience of managed cloud AI services

•Building real-time chat completion applications with OpenAI integration and streaming responses
•Deploying scalable LLM applications on Kubernetes clusters with event-driven processing
•Developing AI applications that require integration between multiple data sources and LLM services

•Enterprise organizations deploying private AI assistants with strict data governance and user access controls
•Development teams building local AI workflows with multiple model providers while maintaining code and data privacy
•Educational institutions providing students and faculty with controlled AI access without external data sharing

Which is more popular, LangStream or Open WebUI?: Open WebUI has more GitHub stars (153,853 vs 427).
Which is more actively developed, LangStream or Open WebUI?: Open WebUI had more commits in the last 90 days (1,515 vs 0).
Should I use LangStream or Open WebUI?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.