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Comparison

evidently vs lmnr

evidently (An open-source ML and LLM observability framework.) vs lmnr (Observability platform for AI agents) - live GitHub stats and typed graph relationships, not marketing.

Markdown twin · evidently alternatives · lmnr alternatives

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evidently

evidentlyai/evidently

7.7kpushed May 2, 2026
vs

lmnr

lmnr-ai/lmnr

3.1kpushed Jul 8, 2026

Tagline

evidently
An open-source ML and LLM observability framework.
lmnr
Observability platform for AI agents

Stars

evidently
7.7k
lmnr
3.1k

Forks

evidently
874
lmnr
216

Open issues

evidently
285
lmnr
92

Language

evidently
Jupyter Notebook
lmnr
TypeScript

Adopt for

evidently
Evidently is a robust open-source Python library for evaluating, testing, and monitoring both machine learning (ML) and large language model (LLM) systems. It supports 100+ metrics and can handle diverse data types from
lmnr
<b><i>lmnr</i></b>: Open-source observability platform designed specifically for AI agents, providing tools like tracing, signal monitoring, evaluations (evals), and custom dashboards in a high-performance rust-based SDK

Persona

evidently
-
lmnr
-

Runtime

evidently
-
lmnr
-

License

evidently
Apache-2.0
lmnr
Apache-2.0

Last pushed

evidently
May 2, 2026
lmnr
Jul 8, 2026

Categories

evidently
Evaluation & Observability
lmnr
Evaluation & Observability, Developer Tools

Trust and health

Maintenance

evidently
Steady (60%)
lmnr
Very active (96%)

Days since push

evidently
66d
lmnr
0d

Open issues (now)

evidently
285
lmnr
92

Full report

evidently
Trust report

Typed relationship

evidently alternative lmnrBoth Evidently and lmnr provide observability for AI systems, but they offer different solutions and approaches.

Choose evidently if…

  • evidently is primarily Jupyter Notebook; lmnr is TypeScript.
  • Both Evidently and lmnr provide observability for AI systems, but they offer different solutions and approaches.
  • Tags unique to evidently: ml-pipelines, data-science, llm, data-drift.
  • When you need comprehensive evaluation capabilities for generative AI tasks such as sentiment analysis, text length checks, or content validation.

When NOT to use evidently

  • If you're working exclusively with non-textual generative AI models (like image generation) as Evidently primarily focuses on text-related metrics.
  • Evidently Cloud is available for enhanced features like dataset and user management but comes at an additional cost. For those not interested in subscriptions, the open-source version may suffice, but

Choose lmnr if…

  • lmnr is primarily TypeScript; evidently is Jupyter Notebook.
  • Both Evidently and lmnr provide observability for AI systems, but they offer different solutions and approaches.
  • Tags unique to lmnr: evaluation, aiops, monitoring, llm-evaluation.
  • Also covers Developer Tools.
  • lmnr ships Docker support for self-hosted deployment.
  • <ul><li>You are working with specific AI frameworks such as Vercel AI SDK, LangChain, or OpenAI where <b>lmnr</b>'s one-line integration can automate the tracing process.</li><br/><li>Your application

When NOT to use lmnr

  • <ul><li>When you need a solution that does not support agent-specific tracing features or does not integrate well with specific AI frameworks like Vercel, LangChain, etc., as lmnr is specialized for.
  • <br/><li>If you prefer open-source tools but require a simpler observability setup without the performance optimizations and extensive feature set of lmnr.</li>
  • ],

Explore

Related comparisons

Common questions

What is the difference between evidently and lmnr?
evidently: An open-source ML and LLM observability framework.. lmnr: Observability platform for AI agents. See the comparison table for live GitHub stats and shared categories.
When should I choose evidently over lmnr?
Choose evidently over lmnr when evidently is primarily Jupyter Notebook; lmnr is TypeScript; Both Evidently and lmnr provide observability for AI systems, but they offer different solutions and approaches; Tags unique to evidently: ml-pipelines, data-science, llm, data-drift; When you need comprehensive evaluation capabilities for generative AI tasks such as sentiment analysis, text length checks, or content validation.
When should I choose lmnr over evidently?
Choose lmnr over evidently when lmnr is primarily TypeScript; evidently is Jupyter Notebook; Both Evidently and lmnr provide observability for AI systems, but they offer different solutions and approaches; Tags unique to lmnr: evaluation, aiops, monitoring, llm-evaluation; Also covers Developer Tools; lmnr ships Docker support for self-hosted deployment; <ul><li>You are working with specific AI frameworks such as Vercel AI SDK, LangChain, or OpenAI where <b>lmnr</b>'s one-line integration can automate the tracing process.</li><br/><li>Your application.
When should I avoid evidently?
If you're working exclusively with non-textual generative AI models (like image generation) as Evidently primarily focuses on text-related metrics. Evidently Cloud is available for enhanced features like dataset and user management but comes at an additional cost. For those not interested in subscriptions, the open-source version may suffice, but
When should I avoid lmnr?
<ul><li>When you need a solution that does not support agent-specific tracing features or does not integrate well with specific AI frameworks like Vercel, LangChain, etc., as lmnr is specialized for. <br/><li>If you prefer open-source tools but require a simpler observability setup without the performance optimizations and extensive feature set of lmnr.</li> ],
Is evidently or lmnr more popular on GitHub?
evidently has more GitHub stars (7,673 vs 3,072). Stars measure visibility, not whether either tool fits your constraints.
Are evidently and lmnr open source?
Yes - both are open-source projects on GitHub (evidently: Apache-2.0, lmnr: Apache-2.0).
Where can I find alternatives to evidently or lmnr?
GraphCanon lists graph-backed alternatives at /tools/evidentlyai-evidently/alternatives and /tools/lmnr-ai-lmnr/alternatives (/tools/evidentlyai-evidently/alternatives.md, /tools/lmnr-ai-lmnr/alternatives.md), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at /compare/evidentlyai-evidently-vs-lmnr-ai-lmnr.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, evidently or lmnr?
evidently: Steady. lmnr: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for evidently and lmnr?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: evidently: /tools/evidentlyai-evidently/trust; lmnr: /tools/lmnr-ai-lmnr/trust.

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