Which is more popular, OmniRoute or phoenix?

OmniRoute has more GitHub stars (72,229 vs 11,680).

Which is more actively developed, OmniRoute or phoenix?

OmniRoute had more commits in the last 90 days (5,161 vs 1,196).

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

OmniRoute is growing faster: +11,258 GitHub stars in the last 30 days vs +416 for phoenix.
Pick OmniRoute for: openAI-compatible gateway for multi-provider routing, retries, fallbacks, caching, and observability. Pick phoenix for: aI Observability & Evaluation.

From GitHub data refreshed daily.

OmniRouteopen-source

OpenAI-compatible gateway for multi-provider routing, retries, fallbacks, caching, and observability

AI Observability & Evaluation

+Unified API interface for 67+ AI providers with OpenAI compatibility, eliminating the need to integrate with multiple different APIs
+Smart routing with automatic fallbacks and load balancing ensures high availability and zero downtime for AI applications
+Built-in cost optimization through access to free and low-cost models with intelligent provider selection

-Adding another abstraction layer may introduce latency compared to direct provider API calls
-Dependency on a third-party gateway creates a potential single point of failure for AI integrations

•Multi-model AI applications that need to switch between different providers based on cost, availability, or capabilities
•Development teams wanting to experiment with various AI models without implementing multiple provider integrations
•Production systems requiring high availability AI services with automatic failover between providers

Which is more popular, OmniRoute or phoenix?: OmniRoute has more GitHub stars (72,229 vs 11,680).
Which is more actively developed, OmniRoute or phoenix?: OmniRoute had more commits in the last 90 days (5,161 vs 1,196).
Should I use OmniRoute or phoenix?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.