Skip to content
aicoolies logo

OpenLLMetry vs Langfuse vs Helicone — Open-Source LLM Observability Platforms Compared

LLM observability has become a non-negotiable requirement for production AI applications in 2026. Teams need to trace prompts and completions, track token costs, debug latency issues, and evaluate output quality. This comparison examines three leading open-source approaches: OpenLLMetry as a vendor-neutral instrumentation layer built on OpenTelemetry standards, Langfuse as a full-featured LLM observability platform with evaluation workflows, and Helicone as a proxy-based solution optimized for instant setup and cost tracking.

analyzed by Raşit Akyol March 31, 2026 updated September 5, 2026

OpenLLMetry reviewLangfuse reviewHelicone review

Verdict

Langfuse wins by offering a complete, self-hostable LLM engineering suite that seamlessly connects granular trace debugging, prompt versioning, and evaluation datasets. While Helicone excels as an ultra-fast caching proxy and OpenLLMetry provides clean OpenTelemetry instrumentation, Langfuse delivers the richest end-to-end developer experience for optimizing production AI applications. Our pick: Langfuse.


Quick Comparison

OpenLLMetry

Pricing
Open-source instrumentation library (Apache-2.0) with $0 self-hosted export to any OpenTelemetry backend (Datadog, Dynatrace, Grafana, Honeycomb, New Relic). Traceloop Cloud Free offers $0/mo for up to 50,000 spans/mo, unlimited seats, and prompt management. Team tier starts at $49-$99/mo for scaling teams. Enterprise provides custom pricing with SOC 2 Type II, VPC/on-premise deployments, extended data retention, 24/7 SLAs, and AWS/GCP/Azure Marketplace billing.
Pricing Model
Freemium
Platforms
Node.js, Python, Ruby, OpenTelemetry, any OTEL backend
Open Source
Yes
Telemetry
Clean
Status
Active
Editorial Pick
—
Last Verified
Sep 6, 2026
Description
OpenLLMetry by Traceloop is an open-source instrumentation library with 7,000+ GitHub stars that adds OpenTelemetry-native tracing to LLM and AI agent applications. It captures detailed traces of model calls including latency, token usage, costs, and error rates, exporting data to any OpenTelemetry-compatible backend like Grafana, Datadog, or Jaeger for vendor-neutral AI observability.

Langfusewinner

Pricing
Langfuse is open-source under MIT for self-hosting with full features. Langfuse Cloud provides a free Hobby tier (50k units/month, 2 users), a Core plan at $29/month (100k units, unlimited users), a Pro plan at $199/month (3-year retention, SSO, SOC2), and an Enterprise plan at $2,499/month with custom SLAs.
Pricing Model
Freemium
Platforms
Web, Self-hosted, Docker, Python, JS/TS SDK
Open Source
Yes
Telemetry
Clean
Status
Active
Editorial Pick
—
Last Verified
Aug 26, 2026
Description
Langfuse is an open-source LLM engineering platform with 29K+ GitHub stars for tracing, evaluating, and monitoring AI applications. Acquired by ClickHouse, it provides detailed traces of LLM calls, prompt management with versioning, dataset-based evaluation, user feedback collection, and cost tracking. Framework-agnostic with native integrations for LangChain, LlamaIndex, OpenAI SDK, and Vercel AI SDK. Offers both self-hosted deployment and a managed cloud service.

Helicone

Pricing
Helicone is open-source under Apache 2.0. Its hosted AI Gateway offers a Free Hobby plan (10,000 requests/month, 7-day logs), a Pro tier at $79/month for unlimited team seats and custom dashboards, a Team tier at $799/month for multi-org setups and SOC-2/HIPAA, and tailored Enterprise contracts.
Pricing Model
Freemium
Platforms
Web, Proxy API, Self-hosted, Docker
Open Source
Yes
Telemetry
Clean
Status
Active
Editorial Pick
—
Last Verified
Aug 26, 2026
Description
Helicone is an open-source LLM observability and AI gateway platform with proxy-based request logging, cost tracking, latency monitoring, caching, rate limits, user analytics, prompt tools, and HQL. It supports OpenAI, Anthropic, Azure, LiteLLM, Anyscale, Together AI, and OpenRouter integrations, and now presents itself as part of Mintlify while continuing managed and self-hosted gateway/observability workflows.

What Sets Them Apart

OpenLLMetry, Langfuse, and Helicone approach LLM observability from telemetry standards, full-stack control planes, and edge gateway architectures. OpenLLMetry (by Traceloop) provides open-source instrumentation SDKs that map GenAI calls into standard OpenTelemetry (OTel) traces exported directly to Datadog, Dynatrace, New Relic, or Honeycomb. Langfuse is an open-source full-stack LLM engineering platform featuring hierarchical agent tracing, prompt management, dataset curation, and automated evaluation. Helicone operates as a high-speed proxy gateway that intercepts API calls via a single baseURL change for semantic caching, rate limiting, and cost analytics.

OpenLLMetry focuses purely on OTel instrumentation; Langfuse provides an end-to-end tracing and evaluation application; Helicone delivers edge-level proxy caching and cost controls with zero SDK code modifications.

OpenLLMetry, Langfuse, and Helicone at a Glance

OpenLLMetry auto-instruments OpenAI, Anthropic, LangChain, and LlamaIndex using OpenTelemetry standards, sending traces to existing enterprise APM backends.

Langfuse captures nested trace trees, tracks token costs across models, manages versioned prompts, and executes offline evaluation benchmarks in a self-hostable UI.

Helicone sits globally on Cloudflare Workers, providing edge semantic caching to eliminate duplicate model queries and log telemetry asynchronously.

Technical Architecture and Engine Mechanics

OpenLLMetry wraps client libraries to generate standard OTLP spans enriched with model parameters and token counts without proprietary middleware.

Langfuse utilizes ClickHouse and PostgreSQL for high-throughput analytical ingestion, structuring events into nested traces, observations, and generations.

Helicone acts as a reverse proxy, checking vector-based semantic cache indices and logging request/response payloads without adding latency.

Developer Experience and Integration Workflows

OpenLLMetry requires a single Traceloop.init() call, streaming GenAI metrics directly to your company's existing telemetry dashboards.

Langfuse combines SDK decorators with an interactive web visualizer for debugging multi-step agent reasoning and managing prompt releases.

Helicone delivers instantaneous onboarding by swapping the model client's baseURL with zero application code changes.

The Bottom Line

Langfuse is the top recommendation, providing the most comprehensive, developer-friendly, and open-source full-stack platform for GenAI tracing, evaluation, and prompt engineering.


FAQ

What are the operational trade-offs between Helicone's edge proxy and OpenLLMetry/Langfuse's in-app SDK instrumentation?

Helicone operates as an HTTP reverse proxy on Cloudflare Workers offering zero-code setup and edge caching/rate-limiting at the cost of an external network hop. OpenLLMetry and Langfuse use in-application SDKs with asynchronous background batching adding zero network hops to the critical LLM path and keeping API keys inside the server.

How does OpenLLMetry's OpenTelemetry adherence compare to Langfuse's and Helicone's specialized data models?

OpenLLMetry (Traceloop) strictly adheres to OpenTelemetry GenAI semantic conventions exporting standardized spans to any APM backend (Datadog, Honeycomb, Langfuse). Langfuse and Helicone provide specialized LLM schemas tailored for prompt versioning, token cost tracking, and multi-turn conversational trees.

How do Langfuse's prompt management features differ from Helicone's runtime traffic control?

Langfuse is a full-stack LLM engineering workspace with prompt semantic versioning, dataset curation from traces, and offline evaluation pipelines. Helicone focuses on intelligent runtime gateway capabilities providing edge-level prompt caching (reducing LLM costs by up to 80%), automatic provider fallback retries, and rate limiting.

What are the deployment architectures and database dependencies for self-hosting?

Langfuse is fully open-source (MIT/EE) self-hostable via Docker Compose/K8s using PostgreSQL, ClickHouse, and Redis. OpenLLMetry is a stateless client-side library sending OTel payloads to existing collectors. Helicone offers an open-source self-hosted stack utilizing Supabase (PostgreSQL), ClickHouse, and Docker.

Sources & verification

Sources checked
Content verified

Verification dates are editorial checks. Routine CMS saves and automatic updatedAt timestamps do not advance them.