Helicone
Open source LLM observability platform for monitoring and evaluating models.
Pricing
Free tier
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
Verified · Jul 12, 2026Overview
What is Helicone?
Helicone is an open-source platform that enables developers to monitor, evaluate, and experiment with large language models (LLMs) using just one line of code. It provides comprehensive insights into model performance and behavior, making it easier to optimize and improve LLMs.
Key differentiator
“Helicone stands out as an open-source, self-hosted platform that simplifies the process of monitoring and evaluating large language models with minimal code integration.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Primary support is for Python, other language SDKs are less mature and community-maintained
Documentation lacks detailed steps for scaling beyond single-node setups
Fit analysis
Who is it for?
✓ Best for
Teams developing and deploying large language models who need detailed performance insights
Data scientists looking to experiment with different configurations of their LLMs
Organizations that require a self-hosted solution for model observability
✕ Not a fit for
Projects requiring real-time streaming data processing (Helicone is batch-oriented)
Teams preferring cloud-based managed services over self-hosting solutions
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Alternatives
Next step
Get Started with Helicone
Step-by-step setup guide with code examples and common gotchas.