Overview
Helicone — LLM observability and analytics
Helicone is an open-source LLM observability platform that sits as a proxy in front of OpenAI, Anthropic, and other LLM APIs. It provides request logging, cost tracking, caching, prompt versioning, and analytics with minimal code changes required.
Proxy-based LLM logging
Cost and token tracking
Prompt caching layer
User and session analytics
Features & capabilities
Everything it does, in plain English.
The honest take
Where it shines, where it stumbles.
✓ Pros
- ✓Zero code change to integrate
- ✓Open source
- ✓Good caching can save costs
- ✓Simple and effective
! Watch-outs
- !Proxy adds latency (minimal)
- !Less comprehensive than Langfuse for evaluation
- !Smaller community
Who it's for
Where Helicone pays for itself fast.
LLM production monitoring
Cost optimization
Prompt management
User analytics
Performance debugging
Community reviews
Share your take on Helicone
Sign in to leave a verified review.
Alternatives
Similar tools worth comparing.

Supabase
Open-source backend-as-a-service with PostgreSQL database, auth, storage, and vector search for AI apps.

DeepSeek
Open-source AI models from DeepSeek with remarkable reasoning and coding at competitive cost.

Mistral AI
High-performance open-weight LLMs from a European AI lab

Hugging Face
The GitHub of machine learning — hosting 500,000+ AI models, datasets, and Spaces

n8n
Open-source workflow automation platform connecting apps and APIs

Flux by Black Forest Labs
Black Forest Labs' FLUX model — the leading open-source image AI