Langfuse
LangSmith
Helicone AI
Galileo AI
PromptLayer
Arize
Future AGI
Rapidly ship AI without guesswork

Langfuse
Arize Phoenix
LangSmith
OpenTelemetry-native observability for AI agents and LLM applications. Trace model calls, investigate failures, and monitor token usage, estimated cost, and latency.

Which is more popular?
Based on our record, Braintrust.dev seems to be more popular. It has been mentioned 3 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | braintrust.dev | telemetry.dev |
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What each product offers, as listed by its team.

Possible disadvantages
How often each product is chosen within a category, 0–100% relative to the other.

Share your experience with using Braintrust.dev and Telemetry.dev. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.

Braintrust focuses on evaluation-driven development: the idea that monitoring LLM applications means continuously scoring outputs against quality criteria, not just tracking latency and error rates. It's an eval platform first, with... - Source: dev.to / 4 months ago
You're monitoring production traffic. You need Langfuse / Phoenix / Helicone / Braintrust for that. Online eval is a different problem class: implicit feedback, drift detection, hallucination rates on your data, not on HellaSwag. - Source: dev.to / 4 months ago
Same approach works with Langfuse, Phoenix, Braintrust, or your existing OTel pipeline — the metadata.userId pattern is the universal part. - Source: dev.to / 5 months ago
Tracking Telemetry.dev since Oct 2026.
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