Back to Gap Map Organization

Laminar AI

company · United Kingdom

Scores

1 product on the map — 1 open.

Laminar

Openness

4 medium confidence
4.0
license
Apache-2.0(OSI)
source
public(Rust core + TS UI)
core features withheld
yes — the self-hosting docs say Signals, signal event clusters, and email and Slack alerts require an enterprise license key (LMNR_LICENSE_KEY
SDKs
Apache-2.0

Laminar's source is Apache-2.0 and public, and tracing, evals, datasets and SQL query run when self-hosted without a key. Signals, signal event clusters and email and Slack alerts on a self-hosted instance need an enterprise license key from Laminar, which is why Laminar is open core rather than fully open source.

Adoption

3 low confidence
3.0

Laminar's lmnr package is a client SDK: applications install it to send traces, so its downloads measure instrumented applications rather than direct use of Laminar itself. No other usage figure exists, and GitHub stars are not a use, so the reading reflects Laminar's standing as a known platform rather than a measured count.

  • https://github.com/lmnr-ai/lmnr recorded 2026-09-14

    Apache-2.0 tracing platform, 3,251 GitHub stars, last pushed 2026-09-13; the star count is recorded for the record and is not what the level is derived from.

Capability

3 medium confidence
3.0

Laminar covers OpenTelemetry-native tracing, evaluations run from its SDK, CLI and CI, datasets built from production traces with labeling, LLM cost tracking, and a SQL query and dashboard layer over traces. It does not surface explicit prompt versioning, which keeps it a step behind Langfuse on breadth.

  • https://docs.laminar.sh recorded 2026-09-29

    Docs home: "Run evals against datasets locally or in CI. Catch regressions before they ship." and "Build evaluation datasets from production traces." plus "Realtime traces, full-text search, raw SQL access from the UI, CLI, or MCP, and custom dashboards."

  • https://docs.laminar.sh recorded 2026-09-29

    Docs home: "Replay any traced span. Swap prompts or models and compare results side by side." and the sidebar lists "LLM cost tracking".

  • https://github.com/lmnr-ai/lmnr recorded 2026-08-13

    README feature checklist - "Evals. Unopinionated, extensible SDK and CLI for running evals locally or in CI/CD pipeline", "UI for visualizing evals and comparing results", and "Query traces, spans, metrics, and events with SQL". No prompt-versioning or prompt-management item appears.