BenchRank
#9 in Model Hosting & InferenceUpdated 2026-08

OpenLLMetry

by OpenLLMetry · OpenTelemetry-based tracing for LLM applications

BenchRank score

51.1 — BenchRank score out of 100

Screenshots of OpenLLMetry

Homepage · OpenLLMetry

Homepage of OpenLLMetry

Overview

OpenLLMetry is an Apache-2.0 licensed set of SDKs that adds OpenTelemetry tracing to LLM applications. You initialise it in a couple of lines from Python or TypeScript and mark functions as workflows; each call to an LLM or a vector database is recorded as a span. Traces can be sent to any of 25+ supported observability platforms, including Traceloop's own.

Best for
Python or TypeScript teams who want LLM traces in an observability tool they already run
Pricing
OpenLLMetry is free under Apache-2.0; Traceloop's hosted platform offers a $0/month tier up to 50K spans, with Enterprise priced on enquiry.

Strengths and trade-offs

Strengths

  • Apache-2.0 licensed and free to use
  • Connects to 25+ supported observability platforms
  • Python and TypeScript SDKs, started in about two lines
  • Built on OpenTelemetry rather than a proprietary trace format

Trade-offs

  • Product page documents little beyond the initial setup snippet
  • Traceloop's free tier keeps data for 24 hours only
  • Free tier stops at 50K spans/month; more means contact sales
  • SOC 2 and on-prem deployment are Enterprise-only

Pricing

Published plans and prices from OpenLLMetry’s own pricing page.

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

  • MCP support

    Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.

  • API quality

    Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.

  • Documentation

    Publicly reachable docs — coverage, freshness, code samples and machine readability.

  • Agent friendliness

    How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.

  • Pricing transparency

    Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.

  • Changelog

    A public, dated record of what shipped and when — the clearest signal that a product is still alive.

  • Marketing site structure

    Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.

  • Page speed

    How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.

  • Operational trust

    Status page and incident history, security disclosure, compliance and data-processing documentation.

Measured, but not part of the score

Useful to know, but not a mark for or against the product — so these do not affect the ranking.

  • Openness

    Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.

  • Maintenance

    Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.

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Where this comes from

The OpenLLMetry pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.

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