Fiddler AI vs Helicone
A side-by-side comparison of Fiddler AI and Helicone, two Observability tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
Fiddler AI
ObservabilityAI observability and security platform for LLM apps, agents, and ML models.
View Fiddler AIAt a glance
| Attribute | Fiddler AI | Helicone |
|---|---|---|
| Category | Observability | Observability |
| Pricing (differs) | PAID | FREEMIUM |
| License (differs) | Proprietary | Open core |
| Deployment (differs) | Cloud | Hybrid |
| Platforms (differs) | Web, API | API, Web |
| Model support | Model-agnostic | Model-agnostic |
| Vendor (differs) | Fiddler AI | Helicone |
The honest brief
Fiddler AI
Extends a pre-LLM explainable-AI and ML-monitoring platform (founded 2018) to LLM/agent observability and guardrails.
- Covers classic ML and LLM monitoring
- Trust Service scores hallucination, PII, toxicity
- Low-latency guardrails + alerting
- Strong explainability heritage
- Enterprise, sales-quoted pricing
- Heavier to adopt than dev-first tools
- Overkill for small LLM apps
Helicone
Fastest setup in the category: change one base URL, no SDK, and the open-source proxy can be self-hosted.
- No SDK or code changes to integrate
- Open source, self-hostable
- Built-in caching and rate-limit handling
- Multi-provider gateway
- Request/response focused, not span-based
- Weaker multi-step agent tracing
- Proxy adds a network hop
- Lighter eval tooling than Langfuse