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Laminar

Open-source agent observability service with OTLP trace ingestion, evaluations and dashboards; self-hostable via Docker Compose or Helm.

By Laminar (lmnr-ai) · laminar.sh

Package download activity

Each package is shown on its own; packages that can be installed together are never added up. Week 2026-W40 (2026-09-28 to 2026-10-04).

npm@lmnr-ai/lmnr · headline (ranked)

77,663 downloads in the week, +4.2% vs prior week · rank 10 on npm

2026-W29: 23,7522026-W30: 30,3252026-W31: 30,0092026-W32: 31,9262026-W33: 40,4642026-W34: 36,3572026-W35: 31,2032026-W36: 24,8702026-W37: 32,3102026-W38: 38,0332026-W39: 74,5532026-W40: 77,663
2026-W29 to 2026-W40, 12 weeks; min 23,752, max 77,663

Reproduce this number (npm API) · registry metadata (mapping checked 2026-10-07)

Packages not measured

The vendor's docs name these packages, but their registry metadata does not link the vendor's domain or GitHub organisation, so under our mapping rule they are not counted. No download number is shown for them.

  • PyPI lmnr: registry metadata has no project/repository/homepage link (registry metadata, checked 2026-10-07)

GitHub stars

lmnr-ai/lmnr: 3,360 stars (rank 25). Stars are a point-in-time count of a repository's bookmarks, not people using the tool.

Series starts 2026-W40 (3,360).

Reproduce (GitHub API) · repository link source

Facts

Facts for Laminar
CategoriesTracing & observability, Evaluation
StatusGenerally available
LicenceApache-2.0 (open core)source, checked 2026-10-07
Self-hostYessource, checked 2026-10-07
OpenTelemetryNative (OTLP)source, checked 2026-10-07
Pricing modelusage
Entry price$30/mo; Starter plan, 3 GB data included then $2/GB; Free plan $0 with 1 GB; OSS self-host is free but Signals and Slack alerts need an enterprise license keysource, checked 2026-10-07
Free tierYes
MeasurabilityMeasured (mapped SDK packages)

Facts last verified 2026-10-07 on first-party pages. Prices as published, taxes excluded; non-USD prices are not converted.

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Spotted an outdated fact? The methodology page explains how facts are checked; corrections are applied at the next weekly build.