
Braintrust.dev
Langfuse
Helicone AI
LangSmith
Future AGI
Galileo AI
LangChain
Humanloop
withOrbit.io
Helicone AI
Langfuse
Intellize.ai
Overseer AI
Orbit is an observability platform for AI-powered applications. It helps developers and teams track LLM costs, latency, and errors - broken down by feature, task, and customer.
Key Features:
Cost tracking by feature, not just monthly totals Latency and error monitoring per API call Task and customer attribution for agentic workflows One-line SDK integration (Node.js & Python) Works with OpenAI, Anthropic, and Gemini Real-time dashboard with usage analytics Use Cases:
Understand which AI features are most expensive Debug slow or failing LLM calls Attribute AI costs to specific customers or workflows Optimize prompts and reduce spend Pricing: Free tier available. No credit card required.
Braintrust.dev
withOrbit.ioNo features have been listed yet.
withOrbit.io's answer:
Built by a Senior PM who kept seeing the same problem: AI features that looked fine but quietly burned margin. No tool answered "what part of my product is expensive?" So I built one.
withOrbit.io's answer:
Next.js, TypeScript, Supabase, and Node.js/Python SDKs for client instrumentation.
withOrbit.io's answer:
Currently in public beta with early adopters. Free tier available.
withOrbit.io's answer:
Orbit focuses on feature-level cost attribution, not just API logs. While other tools show you traces and totals, Orbit answers "which feature is burning my budget?" with a one-line SDK integration.
withOrbit.io's answer:
Simpler setup (one line of code), built-in cost tracking by feature/task/customer out of the box, and native support for agentic workflows where a single user action triggers multiple LLM calls.
withOrbit.io's answer:
Developers, FinOps, Product managers, and engineering teams shipping AI-powered features in production. Especially those using OpenAI, Anthropic, or Gemini who need visibility into what's driving their LLM costs.
Based on our record, Braintrust.dev seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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 observability features built on top of the evaluation infrastructure. - Source: dev.to / 19 days 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 / 29 days ago
Same approach works with Langfuse, Phoenix, Braintrust, or your existing OTel pipeline โ the metadata.userId pattern is the universal part. - Source: dev.to / about 1 month ago
Langfuse - Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.
Helicone AI - Open-source LLM Observability for Developers
LangSmith - Build and deploy LLM applications with confidence
Intellize.ai - AI-first observability platform
Future AGI - Open-source engineering stack for self-improving AI Agents
Overseer AI - Handle AI Governance with a Simple, Custom Policy-Driven API