Which is more popular, Kestra or Open WebUI?

Open WebUI has more GitHub stars (153,800 vs 28,775).

Which is more actively developed, Kestra or Open WebUI?

Open WebUI had more commits in the last 90 days (1,515 vs 1,471).

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

Pick Kestra for: event Driven Orchestration & Scheduling Platform for Mission Critical Applications. Pick Open WebUI for: user-friendly AI Interface (Supports Ollama, OpenAI API, ...).

From GitHub data refreshed daily.

Kestraopen-source

Event Driven Orchestration & Scheduling Platform for Mission Critical Applications

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

+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 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

•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, Kestra or Open WebUI?: Open WebUI has more GitHub stars (153,800 vs 28,775).
Which is more actively developed, Kestra or Open WebUI?: Open WebUI had more commits in the last 90 days (1,515 vs 1,471).
Should I use Kestra or Open WebUI?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.